US20010011245A1 - On-line consumer credit data reporting system - Google Patents
On-line consumer credit data reporting system Download PDFInfo
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- US20010011245A1 US20010011245A1 US09/095,779 US9577998A US2001011245A1 US 20010011245 A1 US20010011245 A1 US 20010011245A1 US 9577998 A US9577998 A US 9577998A US 2001011245 A1 US2001011245 A1 US 2001011245A1
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07F—COIN-FREED OR LIKE APPARATUS
- G07F7/00—Mechanisms actuated by objects other than coins to free or to actuate vending, hiring, coin or paper currency dispensing or refunding apparatus
- G07F7/08—Mechanisms actuated by objects other than coins to free or to actuate vending, hiring, coin or paper currency dispensing or refunding apparatus by coded identity card or credit card or other personal identification means
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q20/00—Payment architectures, schemes or protocols
- G06Q20/04—Payment circuits
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q20/00—Payment architectures, schemes or protocols
- G06Q20/38—Payment protocols; Details thereof
- G06Q20/40—Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check credit lines or negative lists
- G06Q20/403—Solvency checks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q20/00—Payment architectures, schemes or protocols
- G06Q20/38—Payment protocols; Details thereof
- G06Q20/40—Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check credit lines or negative lists
- G06Q20/403—Solvency checks
- G06Q20/4037—Remote solvency checks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/02—Banking, e.g. interest calculation or account maintenance
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/03—Credit; Loans; Processing thereof
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/12—Accounting
Definitions
- the present invention relates generally to a data storage and processing system for credit data reporting.
- the present invention relates to an on-line consumer credit reporting system.
- the principal customers of the industry's credit information services are: (1) national, regional and local credit card issuers; (ii) commercial banks and consumer finance companies; (iii) mortgage companies; (iv) collection agencies; and (v) other entities engaged in either the granting of consumer credit or marketing of services predicated on the credit worthiness of the consumer.
- Products and services offered to these customers by the credit reporting industry include consumer credit reports, credit risk scores, prescreened lists and skip-tracing services. Skip-tracing is a term to connote those consumers who have failed to comply with a payment program, and who cannot be located.
- consumer A may have used his/her credit card during one or more holidays so as to incur a substantial balance with the credit card issuer.
- the past history of consumer A shows that he/she pays off the balance over a period of time, which is exactly the type of credit card use that is desired by the credit card issuer.
- Consumer B is running up a credit card balance because of financial, family, or other problems, and does not intend to pay off the balance. Rather, it is consumer B's intention to either refuse to pay toward the balance, or declare bankruptcy.
- the credit history of consumer B shows that he/she is always late in payments and the balance continues to rise.
- the respective balance of consumer A and B may be the same. If a snapshot view of the traditional credit information of consumer A and B is viewed, they do not look substantially different. However, consumer A is clearly a better risk for extending credit as compared to consumer B. Until the credit histories are made available to the users of the credit information, the significant difference in credit risks of consumers A and B will not be realized.
- the present invention provides an on-line consumer credit reporting system utilizing relational data base technology and a single-instance data base of consumer credit histories that enable more rapid response to customer needs.
- Data is collected periodically from local and regional credit grantors and stored in a massive capacity disk storage array. By retaining the original and all new data from the credit grantors, a complete credit history is accessible, with the ability to trace the source of any erroneous information. Moreover, royalty payments are avoided by bypassing regional credit bureaus in the data collection process.
- the invention provides user-friendly, windows-based client software allowing for graphical interpretation of consumer credit histories and easy retrieval and analysis of credit reports.
- the consumer credit history stored in the massive capacity disk storage array enables the calculation of data and the display of twenty four month consumer trend data. This enables credit grantors to better identify consumers with improving and deteriorating credit balances.
- the historical credit data of a consumer is maintained for at least a twenty four month period so as to be processed and made available as raw data arranged in chronological order, or presented in singular or multiple graphical representations.
- the invention provides a method of more direct access to the data base by high volume users in need of data for their own internal computing and credit assessment operations.
- data associations are automatically made between reported consumers, thereby facilitating skip-tracing, marketing, and other activities.
- FIG. 1 is a block diagram of the hardware in a preferred embodiment of an on-line consumer credit data reporting system of the invention
- FIG. 2 is a block diagram of the software functions performed in the on-line consumer credit data reporting system of FIG. 1;
- FIG. 3 is an options screen presented to an on-line customer by the on-line graphical user interface (GUI) of the on-line consumer credit data reporting system of FIG. 1;
- GUI graphical user interface
- FIG. 4 is a search screen presented to the on-line customer by the GUI
- FIG. 5 is a standard credit report screen presented to the on-line customer by the GUI;
- FIG. 6 is a tradeline information screen presented to the on-line customer by the GUI
- FIG. 7 is another tradeline information screen presented to the on-line customer by the GUI.
- FIG. 8 is a graphical trend credit report screen presented to the on-line customer by the GUI in order to provide a twenty-four month credit history for a selected consumer;
- FIG. 9 is a multiple credit indicator bar graph screen presented to the on-line customer by the GUI to provide additional twenty-four month credit history information
- FIG. 10 is a display option screen presented to the on-line customer by the GUI for the selection of multiple graphical depictions
- FIG. 11 is a delinquency bar graph screen presented to the on-line customer by the GUI to indicate months past due;
- FIG. 12 is a special comment screen presented to the on-line customer by the GUI.
- FIG. 13 is a sort option screen presented to the on-line customer by the GUI
- FIG. 14 is a consumer demographic information screen presented to the on-line customer by the GUI;
- FIG. 15 is a drawing depicting the data is of a single-instance relational data base with the particular data stores encompassed within the data base shown in FIG. 1;
- FIG. 16 is a drawing depicting the cycle of data processing and data delivery within the credit industry.
- FIG. 17 graphically depicts a comparative analysis of the credit histories of two consumers who have vastly different credit histories, but at time “X”, have similar credit balances.
- FIG. 1 there is shown a block diagram of a preferred embodiment of an on-line consumer credit data reporting system constructed to embody the principles and concepts in accordance with the present invention.
- the system has two high-speed data processing units denoted as computer system “A” 110 and computer system “B” 108 .
- computer system “A” 110 and computer system “B” 108 each include a Pyramid Nile 150 digital computer.
- Both computers 108 and 110 utilize MIP R4400 processors working in a SVR4 UNIX environment termed DCOSX.
- computer systems “A” 110 and “B” 108 each contain twelve 200 MHZ CPUs and three gigabytes of random access memory (RAM).
- the computers 108 and 110 may be symmetric multi-processor (SMP) machines that can be scaled to a node on a multi-processor platform (MPP) cluster when business requirements necessitate the migration.
- SMP symmetric multi-processor
- Consumer credit data is stored in a direct access storage device (DASD) array 112 in the form of a single-instance data base.
- DASD direct access storage device
- Each computer system 108 and 110 has equal access to the DASD memory array 112 .
- the DASD array 112 organizes 2.212 terabytes in High Availability Access Storage (HAAS) bays 112 which comprises 336 hard disk drive units made by Siemens Pyramid, each capable of storing seven Gigabytes of data.
- HAAS bays are fully mirrored and the systems are duplicated in configuration for full failover capability.
- the HAAS bays 112 store information related to each consumer for the preceding twenty-four month period, thereby presenting a more complete credit history and enabling various other products to be supplied to clients 104 and 105 , as will be further described below. In addition to the twenty-four (24) month credit history and related summary information, HAAS bays 112 store the originating data, thereby allowing tracing of the source of summary information.
- the system is set up for all users 104 , 105 and 106 to log directly into computer system “B” 108 to establish a session with the on-line consumer credit reporting system.
- the on-line customers include CPU-CPU clients 104 and GUI clients 105 .
- the users may also include on-line credit data providers 106 .
- Users 104 , 105 and 106 may be located anywhere in the world and access the system through the wide area network (WAN) 101 .
- the WAN 101 may support a variety of communication protocols including Dial Up Async, Dedicated Async, BiSync 3270, SDLC LU2 3274, SDLC LU 6.2, 3270 terminal emulation, and custom CPU-CPU interface protocols.
- Requests and traffic from the on-line users on the WAN 101 are sent to the router 102 which then directs traffic either directly to computer system “B” 108 or indirectly with the fiberoptic distributed data interconnect (FDDI) ring 103 .
- Terminal server 109 is connected to computer system “A” 110 , computer system “B” 108 and FDDI ring 103 and functions as a local interface and control over the connected systems. This design isolates all overhead related to the log-in process from the data base engine which processes data base access commands.
- Information requests are then passed to computer system “A” 110 via an application link over either a dual Ethernet network or an internal FDDI connection 111 .
- Computer system “A” 110 then accesses the information stored on the DASD array 112 .
- DASD array 112 is a mirrored storage system wherein all data is stored in a duplicated manner, thereby increasing system reliability. Although all data is stored twice, the data base is a single-instance data base in that all reporting and updating occurs on a single data base as opposed to the conventional use of separate data bases where one is used for reporting and another for updating.
- computer systems “A” 110 and “B” 108 are each equipped to perform the operations of the other computer system so that, in the event of a failure by any one computer system, the other computer system can perform all the functions of the entire system. This capability is referred to as failover and results in increased system reliability.
- Tape backup units 107 provide a means for archival storage on removable media of the information in DASD 112 .
- Information in batch form may be provided directly by batch credit data providers 118 or indirectly via removable storage media 121 .
- removable storage media 121 supports a variety of storage formats including IBM 3174, 3203, 3504, 1270, 3490, 3480, 3803, 3420 and is capable of translating between the several formats.
- the DASD 120 can be part of the DASD 112 .
- Information provided in this form is processed by the batch I/O processor 119 and may be stored locally in a DASD 120 or on the removable storage 121 .
- DASD 120 is manufactured by the EMC Corp. and is capable of storing at least 127.5 gigabytes.
- Information processed by the batch I/O processor 119 is then passed through FDDI ring 103 before updating the DASD array 112 .
- the system in FIG. 1 further includes a maintenance and development environment including components 113 , 114 , 115 , 116 , 117 . Requests from this maintenance and development environment are sent to the router 102 for transfer to the other components of the system in FIG. 1.
- Nile/100 Dev. 113 is preferably a Pyramid Nile 100 computer on which applications for computer systems “A” 110 and “B” 108 may be developed.
- CCA-LAN 114 is a local area network (LAN) capable of supporting multiple workstations for general maintenance and development of applications that are first tested on the Nile/100 Dev. 113 before being made operational on computer systems “A” 110 and “B” 108 .
- LAN local area network
- SHIVA 116 is a communications server or modem which provides the capability for communication with computers not physically located in proximity to the remainder of the development environment ( 113 , 114 , 115 , 117 ).
- Ethernet 115 is a computer network connecting and allowing communication among and between the development environment ( 113 , 114 , 117 , 116 ) which is further connected to router 102 for communication with the remainder of the system.
- Maintenance terminal 117 is a computer terminal for monitoring and maintenance of the Ethernet network 115 .
- the system in FIG. 1, for example, may support 15,000 on-line users, and exist in both an SMP and MPP environment.
- the system uses the industry's leading relational data base management system, Oracle release 7, which has the ability to scale into multi-terabyte systems on various operating platforms.
- FIG. 2 there is shown a block diagram of the operation of the preferred embodiment and the servicing of data requests and logical flow of information through the on-line consumer credit data reporting system of FIG. 1.
- requests for information may come from either CPU-CPU clients 104 or from graphical user interface (GUI) clients 105 .
- GUI graphical user interface
- the computer system “B” ( 108 of FIG. 1) is programmed to carry out the server functions illustrated in FIG. 2, except for all of the resource manager functions, which are normally performed by computer system “A” ( 110 of FIG. 1).
- CPU-CPU clients 104 are high volume users of the data base 112 that require data in an electronic format suitable for further processing on computers at the CPU client location. Typically, CPU-CPU clients 104 develop applications that operate on the CPU-CPU client digital computers, but require data stored in the on-line consumer credit data reporting system. Further processing at the CPU-CPU client site may be electronic or manual. Requests from CPU-CPU clients 104 are standardized by computer system “B” 108 for submission to the data base engine operating on computer system “A” 110 (or computer system “B” 108 in the event of a failure of computer system “A” 110 ). Although a particular CPU-CPU client 104 may generate a large number of requests for data nearly simultaneously, the requests are processed in a sequential fashion to reduce system load and ensure consistent response times to on-line user requests.
- the commands and requests of consumer credit data from the CPU-CPU clients 104 are processed by a server 122 , which comprises software resident in the computer system “B” 108 .
- the parallel requests received by the CPU-CPU client workstations are decoded by program 124 and placed into a TUXEDO format.
- TUXEDO is a well-known server software package sold by BEA Inc. of Sunnyvale, Calif.
- the TUXEDO server eliminates duplicate requests, thereby resulting in reduced load on computer system “A” 110 .
- the credit data requests of the TUXEDO format are placed in parallel form by the software 126 .
- Information returned by computer system “A” 110 is then reformatted for presentation to the CPU-CPU clients 104 .
- Requests submitted by GUI clients are processed in the same general fashion as noted above, except that the information is presented to the on-line user in a format suitable for efficient communication to human operators.
- the format of presenting credit information to GUI users is shown in FIGS. 3 - 14 .
- the requested consumer credit data information retrieved from the data base 112 is returned to software block 126 of the server 122 .
- Such information is then passed to software block 128 where it is placed into the appropriate format that is conveniently used by the CPU-CPU clients 104 .
- the credit data is transmitted back to the requesting workstation of the CPU-CPU client 104 .
- the server 130 of the computer system “A” functions as a resource manager 132 by identifying formatted requests for information from CPU-CPU or GUI clients 104 and 105 .
- the computer system “A” ( 110 in FIG. 1) employs ORACLE server software for the resource management. Requests received from any of the clients are processed by the ORACLE server data base engine 160 for servicing. Separate tables for data fields are maintained, thereby reducing lookup time. These tables are accessed by respective programs executed by a TUXEDO server 134 .
- the tables include, for example, consumer names 136 , tradelines 138 , (i.e., credit lines such as Mastercard, VISA, American Express, CitiBank), consumer addresses 140 , driver's license numbers 142 (DL), social security numbers (SSN) 144 , associations 146 (described further below), inquiries 148 , public information 150 (tax liens, judgments, bankruptcies), additional miscellaneous information 152 , and credit worthiness scores 154 .
- the ORACLE resources manager 160 services the requests by accessing the data base 112 to find the information in reply to such requests.
- the foregoing computer equipment and peripherals are programmed to respond to on-line user demands for carrying out various calculations of consumer credit data to present credit information in numerical and graphical formats, as shown in the following GUI screen displays.
- the consumer credit data entered into the data base is not only maintained for a long period of time, the data is accumulated for various parameters, such as current balance, past due amount, etc. and enables on-line users to make better decisions as to credit changes of the consumers.
- FIG. 3 there is shown an options screen wherein on-line customers have the opportunity to change credit reporting options during an on-line session.
- Options may be selected individually or according to standardized options packages as shown. Included among the options is the reporting of historic data for the twenty-four month period preceding the latest report, and the ability to display information for the preceding twelve or twenty-four month period in a compressed numerical grid format. With the information thus presented, an on-line user can trace the origins of a consumer's present credit status, including individual and total balances paid, and determine if there is a trend, i.e.
- a significant feature of the invention is the ability to change reporting options during an on-line session (i.e., point and click). It should be noted that the various screens of FIGS. 3 - 14 are selected by the user by selecting or clicking on the subject matter areas of the top of the respective screens.
- FIG. 4 there is shown a GUI inquiry search screen where on-line customers can enter search criteria into predefined fields, thereby eliminating the complex series of commas, periods, and spaces utilized by the prior art technology.
- On-line customers can sequentially move between fields shown by pressing the TAB key of the keyboard.
- By entering information into the predefined fields on-line users can create a customized search criteria.
- several of the predefined fields are capable of displaying a list of selections from which the on-line user may choose, for example, various “states” can be selected to modify the search criteria.
- FIG. 5 there is shown a GUI standard credit report screen displaying trade line information for the various credit lending institutions. While two such institutions are shown in the screen display of FIG. 5, others may be viewed by scrolling the bottom portion of the screen.
- the screen displays information regarding utilization of credit resources, thereby indicating substantial increases or decreases in credit usage.
- Information so presented is sorted by tradelines, which is information concerning a consumer's credit relationships with the various credit extending institutions.
- An object of the invention is to display only credit information relevant to a credit allocation decision.
- this screen display shows that the actual date of delinquency, and the number of days delinquent.
- the “June 96-60” indicates that as of June 1996, the account for The Limited business for the particular consumer was 60 days delinquent.
- May 96-60 the balance was still 60 days delinquent, and on April 96 the balance was 30 days delinquent.
- the delinquencies displayed not only are the delinquencies displayed, but the actual days also. This is important information that can be readily obtained without bringing up the other screens to obtain such information.
- FIG. 6 there is shown a GUI standard credit report screen displaying additional tradeline information.
- an on-line user can review all the tradeline information available for a particular consumer.
- the numerical delinquency history is displayed, such as shown in FIG. 11.
- Graph Tradeline a graphical display of the historical delinquency information is presented such as FIGS. 8 and 9.
- FIG. 7 there is shown a GUI standard credit report screen overlaid on the screen of FIG. 6, displaying additional tradeline information on a particular credit grantor.
- additional information is presented to the on-line user concerning that particular tradeline, including special comments.
- the screen display of FIG. 7 was obtained by pointing and clicking on “The Limited” displayed in FIGS. 5 or 6 .
- additional and more particular data concerning the account with the particular credit grantor indicates that as to the consumer identified by the account number, the highest balance occurred on Jun. 1, 1996 and the date of the original delinquency was Apr. 15, 1996.
- the special comment section it is noted that the particular account is in the collection process.
- FIG. 8 there is shown a GUI report screen displaying a graphical presentation of information for the past twenty four months for a particular tradeline.
- Information is presented in a bar graph format and graphically shows the progression of payments and charges for the preceding twenty four month period, resulting in a highly efficient means of displaying information to the on-line user.
- the raw numbers used to generate the bar graph are made available to the on-line user through the scroll box appearing immediately below the bar graph.
- the vertical axis of the graph shows the dollar amount of the account balance
- the bars of the graph above the “0” dollar balance amount show the particular amount of the balance for each of the calendar months.
- the bars below the zero-balance line show those month for which past due amounts have appeared.
- the numerical past due amounts shown on the grid at the bottom of the screen display correspond to the length of the bars extending below the zero-balance line.
- the numbers in the “Cur Balance” column of the bottom grid of FIG. 8 correspond to the length of the current balance bars extending above the zero-balance line of the graph.
- the same consumer credit data can be presented in many different formats, all according to the desires of the on-line user.
- the historical data of a consumer, for each tradeline can be displayed as set forth in FIG. 5, as the numerical grid at the bottom of the screen display of FIG. 8, and in graphical form as shown in the middle of the screen display of FIG. 8.
- FIG. 9 there is shown a GUI screen displaying multiple credit indicators in graphical format.
- Each credit indicator or datum is presented in a bar graph format for the preceding twenty four month period, resulting in highly efficient means of displaying information to the on-line user. Information so displayed may be selected by the on-line user.
- the various credit indicators shown are monthly installment current balance, total monthly current balance, past due amount and total estimated monthly payments.
- Each data indicator provides trend information by quarters, over a two-year period.
- the past due amount shown in FIG. 9 corresponds to that shown in both graphical and numerical form in FIG. 8.
- the “Monthly Installment Current Balance” graph illustrates the aggregate of all credit account balances for the consumer of interest. By aggregating the data of all the accounts, a better appraisal of the overall credit picture can be made in a much smaller period of time.
- FIG. 10 there is shown a GUI screen where on-line users can select information to be presented in graphical format or in printed form as shown in FIG. 9.
- the point and click selection of “GRAPHS” brings up this screen display.
- four such graphs can be selected for display on a single display, such as shown in FIG. 9. Multiple display options are presented.
- FIG. 11 there is shown a GUI standard credit report screen where payment history for the prior twenty four months is displayed in a delinquency grid format. All tradeline data for a particular credit consumer is summarized in a grid format with numbers used to indicate months past due for particular tradelines. Again, the delinquencies are shown for 30-day periods, i.e., “2” means 60 days.
- FIG. 12 there is shown a GUI standard credit report screen where special comments on particular tradelines can be entered and viewed by on-line users.
- the Special Comments area can be utilized for showing information relevant to other sections clicked.
- the comments shown in the screen display is a result of clicking on “col” for collections.
- FIG. 13 there is shown a GUI standard credit report screen where on-line users can select multiple sorting options for optimal presentation in user defined reporting environments.
- the presentation to any particular on-line user can be optimized by the on-line user for maximal efficiency and flexibility of presentation.
- FIG. 14 there is shown a GUI standard credit report screen where consumer identifying demographic information can be entered or displayed. Identification information on each consumer is stored by the system including tracking of the number of credit information sources that have reported such information, and the dates. This tracking system enables an on-line user to determine the reliability of any particular piece of information.
- This screen display depicts address information data for a particular credit consumer.
- 1123 Locke Lane address such address was first reported on May 12, 1996, and last reported on Jul. 7, 1996, with one source reporting such address.
- eleven tradeline sources reported such address between the dates of Sep. 22, 1991 and Jul. 1, 1996.
- An undisclosed tradeline reported that the consumer lived at the address of 934 Henry Street, but no reporting source reports that the consumer lives there any longer.
- the “warning” line indicates that the address input by the on-line user does not match any address on file.
- FIG. 14 Near the bottom of FIG. 14, there is illustrated the various Social Security Numbers reported by the consumer in applying for credit. While the Social Security Numbers are different, it is apparent that there was a simple transposition of the first two digits. In the “warning” line of the display, a statement can be displayed when the credit consumer submits a Social Security Number of a deceased person.
- the on-line consumer credit data reporting system can make and display associations between reported consumers.
- consumers who jointly participate in a particular tradeline either through marriage, authorization, or contractually, are associated and their individual credit histories and other identifying information can be presented to the on-line user.
- the on-line system can provide a report of each person associated with a particular tradeline and facilitate other activities including skip-tracing and marketing.
- information addresses, financial relationship, equal credit opportunity act level, etc.
- the on-line consumer credit data reporting system has an online product catalogue for providing customers with a full suite of traditional credit analysis products, including credit reports, prescreened lists, collection reports and other credit grantor products.
- Credit reports are the primary on-line product purchased by credit grantors.
- a credit report contains all of the identification, trade account and public records information found in the data base of the on-line consumer credit reporting agency. Credit reports can be delivered in either machine readable or human readable formats.
- the single-instance data base can store and maintain twenty four months of data detailing each consumer's monthly credit balances, payment information and past due amounts.
- the advanced logic for matching inquiries to correct credit files yields fewer incorrectly purchased credit reports. This feature reduces the chance of consumer relations problems due to mistaken access of the wrong credit file.
- Credit grantors can obtain a consumer's file by using the consumer's account number with that credit grantor. In addition to lowering costs with fewer key strokes, this feature results in accurate file retrieval, even in cases involving multiple names, addresses or social security numbers.
- GUI graphical user interface
- Products provided by the on-line consumer data reporting system can include collection reports (as shown in FIG. 1), skip-locating service (which may be based on information as shown in FIG. 14), on-line decoding (as shown in FIG. 7), and trend data (as shown in FIGS. 5, 6, 8 , 9 , 11 ).
- Collection reports are designed for skip-tracing purposes and to help locate individuals who have “skipped” out on a debt.
- the report contains full consumer identification information including name, address and phone numbers of all credit grantors that submit account information to the consumer's file. With this report a collector can contact other creditors to uncover new addresses for the consumer.
- the skip-locating service allows a creditor to place a flag in the consumer's file that generates a notification every time a new consumer address is uncovered.
- the new address information may come from an inquiry to the file or from an accounts receivable tape. Such information is stored as shown in FIG. 14.
- the on-line decode service will display the full name, address and phone numbers of every credit grantor listed on the credit reports, as partially shown in FIG. 7. Other information concerning the credit grantor can be presented in other “pop-up” screens. Tradelines, inquiries and public record providers will all be decoded. This add-on product is used by collection agencies and mortgage credit reporting companies to allow them to contact creditors listed in the report.
- Trend data will allow lenders to greatly enhance their internal and/or external collection strategies by identifying those debtors who are likely to pay delinquent balances. Delinquent customers with a trend that reflects a willingness and ability to repay can be offered attractive repayment alternatives and even the possibility of remaining a customer. Those customers' accounts with negative trends can be denied further credit, or closed and sent to an outside agency for collection. Thus, the information presented in FIGS. 5, 6, 8 , 9 , 11 results in more accurate decision making capabilities by on-line users.
- Products provided by the on-line consumer data reporting system may include prescreened lists compiled using one of two methods.
- One method involves taking criteria provided by on-line users and returning the names from those lists that pass the criteria established by the on-line user.
- Such lists can be communicated to the on-line consumer credit data reporting system by CPU-CPU clients as shown in FIGS. 1 and 2.
- a credit grantor may wish to prescreen a list of prospects for a new credit card, or buyers of particular products or services that may be of interest. For example, buyers of certain magazines or products may be likely to purchase a home and therefore could be targeted for directed advertising.
- the other method involves direct extraction of data from the massive single instance data base.
- lists of consumers matching a series of criteria e.g., income level, credit scores, purchasing habits
- a series of criteria e.g., income level, credit scores, purchasing habits
- prescreened lists are an integral part of most direct mail credit offers.
- the system allows selected credit grantors to develop and test prescreen criteria online against a national data base. Modeling against a national file rather than a regional file gives the credit grantor more accurate statistics at the beginning of a program. Thus, credit grantors can assess prescreen criteria dynamically on current national data as opposed to relying on out of date or partial data.
- Prescreens can be performed against the on-line data base as stored in DASD 112 (FIG. 1) rather than an archived copy of the data base.
- DASD 112 FIG. 1
- prescreen decisions using the on-line data base more accurately reflect current consumer debt standings, and provide a better indication of credit risk.
- the on-line data base includes a number of ancillary data bases. Multiple data files of census demographics and other information can be incorporated into the prescreen process. This allows the credit grantor to target more specific audiences in prescreen mailings, thus enhancing a response.
- Other products provided by the on-line consumer data reporting system may include: credit risk scores, fraud alert services, report summaries and address search features.
- Credit risk scores are added to credit reports as a modeled indictor of a consumer's propensity to conduct its business and lifestyle in a certain way. An on-line user may select such reporting as shown in FIG. 3. Scores may be generic for all credit grantors, generic for a specific type of credit grantor, or custom developed for an individual credit grantor. Generic scores in use at current repositories include: bankruptcy risk scores, delinquency risk scores, response probability scores, profitability scores and collection scores.
- the system can provide a fraud alert service.
- the system will maintain a data base of mail drop addresses, prison addresses, and names and social security numbers that have previously been used in credit fraud activities. A customer may elect to have their inquiries compared against this data base and the result displayed on the credit report.
- the system can provide a report summary.
- a summary of the information on a credit report may be purchased as an enhancement to a full credit report, or it may be purchased as a single product.
- the system can provide an address search feature. This feature validates a consumer's current and previous addresses based on the input of name, prior address, social security number, or other identifying information (e.g. driver's license number) at the time a credit report is ordered, as shown in FIG. 4. This invention can thus be marketed as a locate tool.
- This feature validates a consumer's current and previous addresses based on the input of name, prior address, social security number, or other identifying information (e.g. driver's license number) at the time a credit report is ordered, as shown in FIG. 4. This invention can thus be marketed as a locate tool.
- the single instance data base 112 is comprised of various individual files and control tables. The arrows between the files depict the interrelationship therebetween such that the result is a relational data base.
- Data store DS 1 contains the control tables necessary to employ all the rules governing the updating of the data-stores, including those rules inherent within the relational data base software. To that end, the control tables of the DS 1 data base control the activity between the other individual data bases.
- Data Store DS 2 contains the financial data elements such as account numbers and payment amounts of each consumer identified in the data base 112 .
- Data Store DS 3 contains all identifying information for individuals, including names, addresses, date of birth, Social Security Number information as well as any other information that may be used to indicate a unique identity. Other identifying features could include digital fingerprints, retinal scans and digitized photographs.
- Data Store DS 4 contains all data of historical importance. This data is specified as needing little or no future updating and as such is structured within the data base 112 for optimum high speed storage and retrieval.
- Data Store DS 5 contains all data of a legal nature including but not limited to public records i.e., data store judgments, tax liens, bankruptcies, etc.
- FIG. 16 is a diagram showing the data information flow between the various functional apparatus and entities.
- Reference numeral 170 represents the data acquisition process which involves the incoming transmission of credit data as well as any other financial data to be stored in the repository. Data is introduced into the system via various media types including but not limited to round reel tape, cartridge tape, floppy diskettes and electronic transmissions.
- the data edit and validation programs are shown as module 172 . This software insures adherence to industry standard formats and contents. Any data failing to qualify will be retained from updating and returned to the sender with explanations of rejection.
- Data update and storage module 174 contains the processes and programs that may be purchased and/or proprietary that actually perform the updating and adding of new data to the repository.
- Software module 176 depicts the data verification and correction processes.
- the invention provides for automatic data verification utilizing statistical averaging of data attributes as individual decisioning points for verification of proper updating. If variances, which are set manually and calculated automatically, are out of sync, the system will notify the specified person or persons and in some instances automatically corrects the erroneous data. This area also allows for manual correction of data by use of proprietary written software. This process has interfaces with outside service providers for sharing data changes within the industry, thus providing enhanced consumer service.
- the software modules 170 , and 176 are resident in DASD 112 of FIG. 1.
- the network management equipment 178 includes all purchased hardware and software as well as custom software utilized to control and provide network access to the repository data base. This includes all routers, front-end processors, network management software and transport services.
- the network security software 180 is commercially available, and contains all log on, password and connectivity aspects of the system. Network security is the first level of security for protecting the system, and is followed by application and data base levels of security.
- Application program interfaces software 182 is provided to allow custom programs and packaged software to be accessed via various standard protocols.
- Report request and retrieval software 184 is the process by which subscribers to the service actually provide the identifying information of an individual, and the system retrieves the requested data while performing a match to the data base and any custom analysis requested by the subscriber.
- the software 182 and 184 is resident on the terminal server 109 of FIG. 1.
- the hub 186 of FIG. 16 represents the participants in the process. Credit grantors provide data to the system that is used to build and enhance the repository data base. Credit grantors also become subscribers who purchase the composite data from the repository. Other data contributors may include providers of public record information and providers of demographic information on individuals. The latter participants typically do not purchase data from the repository data base.
- FIG. 17 illustrates such a situation.
- line 200 illustrates consumer A who has a revolving account.
- Line 202 represents consumer B who also has a revolving account.
- the horizontal axis of the graph illustrates a twenty-four month trend and the vertical axis indicates the account balance.
- consumer A initially has a high balance which is reduced by payments, the balance again rises, but again is reduced by other payments, and then the balance again rises to the point in time labeled “X”.
- This type of credit consumer is termed a “seasonal revolver,” as goods or services are purchased during the year, perhaps at holidays such as Christmas, Thanksgiving, etc., but the balances are paid off.
- consumer B has had a very low balance for a major portion of the twenty-four month period, but the balance increases in the last period of the time, and is a little greater than the balance of consumer A at the period in time denoted by the vertical line X. If an on-line user only had available the most current credit information at the time X, then consumer B would not look a lot different from consumer A, in terms of credit balances. However, when the historical credit information of consumer A is made available, it becomes clear that the credit risk of consumer A is much superior to that of consumer B. In accordance with an important feature of the invention, not only is the historical credit information made available to the on-line user, but such information is presented in a highly efficient and usable form.
- the on-line consumer credit data reporting system and method of operation thereof involves principles and concepts that overcome many of the shortcomings and disadvantages of the prior art consumer credit reporting systems. Therefore, while the preferred and other embodiments of the methods and apparatus have been disclosed with reference to specific software and hardware structures, techniques and the like, it is to be understood that many changes in detail may be made as a matter of engineering choices without departing from the spirit and scope of the invention, as defined by the appended claims. Indeed, those skilled in the art may prefer to embody the apparatus and/or software in other forms, and in light of the present description, they will find it easy to implement that choice. Also, it is not necessary to adopt all the various advantages and features of the present in a single embodiment or assembly in order to realize the individual advantages disclosed herein.
Abstract
Description
- 1. Field of the Invention
- The present invention relates generally to a data storage and processing system for credit data reporting. In particular, the present invention relates to an on-line consumer credit reporting system.
- 2. Background Art
- The domestic consumer reporting industry serves the expanding information requirements of an increasingly credit driven economy. Low interest rates and increasing competition in the credit card industry have fueled increased demand for consumer credit information.
- The principal customers of the industry's credit information services are: (1) national, regional and local credit card issuers; (ii) commercial banks and consumer finance companies; (iii) mortgage companies; (iv) collection agencies; and (v) other entities engaged in either the granting of consumer credit or marketing of services predicated on the credit worthiness of the consumer. Products and services offered to these customers by the credit reporting industry include consumer credit reports, credit risk scores, prescreened lists and skip-tracing services. Skip-tracing is a term to connote those consumers who have failed to comply with a payment program, and who cannot be located.
- Traditionally, national, regional and local credit grantors have provided consumer account histories to the major credit repositories free of charge. The credit grantors are incentivized to do so because they are also purchasers of credit reports. The quality of the credit information they receive thus depends upon the voluntary cooperation of all major credit grantors. Also, credit grantors believe that consumers are more likely to pay promptly if they are aware that their payment histories are being reported to the major credit repositories. Credit repositories also gather relevant data regarding bankruptcy filings and tax liens from courthouses and other public records agencies. These records are combined with the credit grantor data into large centralized data bases which are used to compile consumer credit reports and other industry products.
- These major credit repositories have been maintained primarily by divisions of TRW Inc., Equifax Inc., Trans Union Corporations, and more recently by Consumer Credit Associates, Inc.
- Traditional credit reporting businesses store a substantial amount of credit information for many consumers. Sometimes there is so much information on the individual consumers that an on-line review of the information is time consuming and often the data or information is either contradictory or inaccurate. A major shortcoming of the presentation of consumer credit is that it is only a snapshot of the consumer credit worthiness for a short period of time. Indeed, many of the data bases of the credit reporting business are maintained primarily for current data. All credit data that is older than, for example, a few months, is discarded as being unimportant. A snapshot of a person's credit for a short period can be very deceiving, thus allowing for an erroneous extension of credit when it shouldn't be extended, or a denial of credit when it should be extended.
- As an example of the foregoing, consumer A may have used his/her credit card during one or more holidays so as to incur a substantial balance with the credit card issuer. However, the past history of consumer A shows that he/she pays off the balance over a period of time, which is exactly the type of credit card use that is desired by the credit card issuer.
- Consumer B, on the other hand, is running up a credit card balance because of financial, family, or other problems, and does not intend to pay off the balance. Rather, it is consumer B's intention to either refuse to pay toward the balance, or declare bankruptcy. In addition, the credit history of consumer B shows that he/she is always late in payments and the balance continues to rise. At some point in time, the respective balance of consumer A and B may be the same. If a snapshot view of the traditional credit information of consumer A and B is viewed, they do not look substantially different. However, consumer A is clearly a better risk for extending credit as compared to consumer B. Until the credit histories are made available to the users of the credit information, the significant difference in credit risks of consumers A and B will not be realized.
- From the foregoing, it can be seen that a need exists for a credit information data base and processing system that provides a user with many options and alternatives in ascertaining the credit history of a consumer. Another need exists for an improved graphical user interface that provides the credit history information in an efficient and understandable manner.
- The present invention provides an on-line consumer credit reporting system utilizing relational data base technology and a single-instance data base of consumer credit histories that enable more rapid response to customer needs. Data is collected periodically from local and regional credit grantors and stored in a massive capacity disk storage array. By retaining the original and all new data from the credit grantors, a complete credit history is accessible, with the ability to trace the source of any erroneous information. Moreover, royalty payments are avoided by bypassing regional credit bureaus in the data collection process.
- In accordance with another aspect of the invention, the invention provides user-friendly, windows-based client software allowing for graphical interpretation of consumer credit histories and easy retrieval and analysis of credit reports. In particular, the consumer credit history stored in the massive capacity disk storage array enables the calculation of data and the display of twenty four month consumer trend data. This enables credit grantors to better identify consumers with improving and deteriorating credit balances. In the preferred embodiment, the historical credit data of a consumer is maintained for at least a twenty four month period so as to be processed and made available as raw data arranged in chronological order, or presented in singular or multiple graphical representations.
- In accordance with yet another aspect, the invention provides a method of more direct access to the data base by high volume users in need of data for their own internal computing and credit assessment operations.
- In accordance with still another aspect of the invention, data associations are automatically made between reported consumers, thereby facilitating skip-tracing, marketing, and other activities.
- Other objects and advantages of the invention will become apparent upon reference to the drawings, in which:
- FIG. 1 is a block diagram of the hardware in a preferred embodiment of an on-line consumer credit data reporting system of the invention;
- FIG. 2 is a block diagram of the software functions performed in the on-line consumer credit data reporting system of FIG. 1;
- FIG. 3 is an options screen presented to an on-line customer by the on-line graphical user interface (GUI) of the on-line consumer credit data reporting system of FIG. 1;
- FIG. 4 is a search screen presented to the on-line customer by the GUI;
- FIG. 5 is a standard credit report screen presented to the on-line customer by the GUI;
- FIG. 6 is a tradeline information screen presented to the on-line customer by the GUI;
- FIG. 7 is another tradeline information screen presented to the on-line customer by the GUI;
- FIG. 8 is a graphical trend credit report screen presented to the on-line customer by the GUI in order to provide a twenty-four month credit history for a selected consumer;
- FIG. 9 is a multiple credit indicator bar graph screen presented to the on-line customer by the GUI to provide additional twenty-four month credit history information;
- FIG. 10 is a display option screen presented to the on-line customer by the GUI for the selection of multiple graphical depictions;
- FIG. 11 is a delinquency bar graph screen presented to the on-line customer by the GUI to indicate months past due;
- FIG. 12 is a special comment screen presented to the on-line customer by the GUI;
- FIG. 13 is a sort option screen presented to the on-line customer by the GUI;
- FIG. 14 is a consumer demographic information screen presented to the on-line customer by the GUI;
- FIG. 15 is a drawing depicting the data is of a single-instance relational data base with the particular data stores encompassed within the data base shown in FIG. 1;
- FIG. 16 is a drawing depicting the cycle of data processing and data delivery within the credit industry; and
- FIG. 17 graphically depicts a comparative analysis of the credit histories of two consumers who have vastly different credit histories, but at time “X”, have similar credit balances.
- While the invention is susceptible to various modifications and alternative forms, a specific embodiment thereof has been shown in the drawings and will be described in detail. It should be understood, however, that it is not intended to limit the invention to the particular form shown, but to the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the invention as defined by the appended claims.
- Turning now to FIG. 1, there is shown a block diagram of a preferred embodiment of an on-line consumer credit data reporting system constructed to embody the principles and concepts in accordance with the present invention. The system has two high-speed data processing units denoted as computer system “A”110 and computer system “B” 108. Preferably, computer system “A” 110 and computer system “B” 108 each include a Pyramid Nile 150 digital computer. Both
computers computers - Consumer credit data is stored in a direct access storage device (DASD)
array 112 in the form of a single-instance data base. Eachcomputer system DASD memory array 112. Preferably, theDASD array 112 organizes 2.212 terabytes in High Availability Access Storage (HAAS)bays 112 which comprises 336 hard disk drive units made by Siemens Pyramid, each capable of storing seven Gigabytes of data. The HAAS bays are fully mirrored and the systems are duplicated in configuration for full failover capability. TheHAAS bays 112 store information related to each consumer for the preceding twenty-four month period, thereby presenting a more complete credit history and enabling various other products to be supplied toclients HAAS bays 112 store the originating data, thereby allowing tracing of the source of summary information. - The system is set up for all
users CPU clients 104 andGUI clients 105. The users may also include on-linecredit data providers 106.Users WAN 101 may support a variety of communication protocols including Dial Up Async, Dedicated Async, BiSync 3270, SDLC LU2 3274, SDLC LU 6.2, 3270 terminal emulation, and custom CPU-CPU interface protocols. - Requests and traffic from the on-line users on the
WAN 101 are sent to therouter 102 which then directs traffic either directly to computer system “B” 108 or indirectly with the fiberoptic distributed data interconnect (FDDI)ring 103.Terminal server 109 is connected to computer system “A” 110, computer system “B” 108 andFDDI ring 103 and functions as a local interface and control over the connected systems. This design isolates all overhead related to the log-in process from the data base engine which processes data base access commands. Information requests are then passed to computer system “A” 110 via an application link over either a dual Ethernet network or aninternal FDDI connection 111. Computer system “A” 110 then accesses the information stored on theDASD array 112.DASD array 112 is a mirrored storage system wherein all data is stored in a duplicated manner, thereby increasing system reliability. Although all data is stored twice, the data base is a single-instance data base in that all reporting and updating occurs on a single data base as opposed to the conventional use of separate data bases where one is used for reporting and another for updating. In addition, computer systems “A” 110 and “B” 108 are each equipped to perform the operations of the other computer system so that, in the event of a failure by any one computer system, the other computer system can perform all the functions of the entire system. This capability is referred to as failover and results in increased system reliability.Tape backup units 107 provide a means for archival storage on removable media of the information inDASD 112. - Information in batch form may be provided directly by batch
credit data providers 118 or indirectly viaremovable storage media 121. In the preferred embodiment,removable storage media 121 supports a variety of storage formats including IBM 3174, 3203, 3504, 1270, 3490, 3480, 3803, 3420 and is capable of translating between the several formats. Alternatively, theDASD 120 can be part of theDASD 112. Information provided in this form is processed by the batch I/O processor 119 and may be stored locally in aDASD 120 or on theremovable storage 121. In the preferred embodiment,DASD 120 is manufactured by the EMC Corp. and is capable of storing at least 127.5 gigabytes. Information processed by the batch I/O processor 119 is then passed throughFDDI ring 103 before updating theDASD array 112. - The system in FIG. 1 further includes a maintenance and development
environment including components router 102 for transfer to the other components of the system in FIG. 1. Nile/100 Dev. 113 is preferably aPyramid Nile 100 computer on which applications for computer systems “A” 110 and “B” 108 may be developed. CCA-LAN 114 is a local area network (LAN) capable of supporting multiple workstations for general maintenance and development of applications that are first tested on the Nile/100 Dev. 113 before being made operational on computer systems “A” 110 and “B” 108.SHIVA 116 is a communications server or modem which provides the capability for communication with computers not physically located in proximity to the remainder of the development environment (113, 114, 115, 117).Ethernet 115 is a computer network connecting and allowing communication among and between the development environment (113, 114, 117, 116) which is further connected torouter 102 for communication with the remainder of the system.Maintenance terminal 117 is a computer terminal for monitoring and maintenance of theEthernet network 115. The system in FIG. 1, for example, may support 15,000 on-line users, and exist in both an SMP and MPP environment. The system uses the industry's leading relational data base management system, Oracle release 7, which has the ability to scale into multi-terabyte systems on various operating platforms. - Turning now to FIG. 2, there is shown a block diagram of the operation of the preferred embodiment and the servicing of data requests and logical flow of information through the on-line consumer credit data reporting system of FIG. 1. As shown in FIG. 2, requests for information may come from either CPU-
CPU clients 104 or from graphical user interface (GUI)clients 105. In the preferred form of the invention, the computer system “B” (108 of FIG. 1) is programmed to carry out the server functions illustrated in FIG. 2, except for all of the resource manager functions, which are normally performed by computer system “A” (110 of FIG. 1). - CPU-
CPU clients 104 are high volume users of thedata base 112 that require data in an electronic format suitable for further processing on computers at the CPU client location. Typically, CPU-CPU clients 104 develop applications that operate on the CPU-CPU client digital computers, but require data stored in the on-line consumer credit data reporting system. Further processing at the CPU-CPU client site may be electronic or manual. Requests from CPU-CPU clients 104 are standardized by computer system “B” 108 for submission to the data base engine operating on computer system “A” 110 (or computer system “B” 108 in the event of a failure of computer system “A” 110). Although a particular CPU-CPU client 104 may generate a large number of requests for data nearly simultaneously, the requests are processed in a sequential fashion to reduce system load and ensure consistent response times to on-line user requests. - The commands and requests of consumer credit data from the CPU-
CPU clients 104 are processed by aserver 122, which comprises software resident in the computer system “B” 108. The parallel requests received by the CPU-CPU client workstations are decoded by program 124 and placed into a TUXEDO format. TUXEDO is a well-known server software package sold by BEA Inc. of Sunnyvale, Calif. The TUXEDO server eliminates duplicate requests, thereby resulting in reduced load on computer system “A” 110. The credit data requests of the TUXEDO format are placed in parallel form by thesoftware 126. - Information returned by computer system “A”110 is then reformatted for presentation to the CPU-
CPU clients 104. Requests submitted by GUI clients are processed in the same general fashion as noted above, except that the information is presented to the on-line user in a format suitable for efficient communication to human operators. The format of presenting credit information to GUI users is shown in FIGS. 3-14. The requested consumer credit data information retrieved from thedata base 112 is returned to software block 126 of theserver 122. Such information is then passed to software block 128 where it is placed into the appropriate format that is conveniently used by the CPU-CPU clients 104. When placed in the reporting format, the credit data is transmitted back to the requesting workstation of the CPU-CPU client 104. - Returning to the processing of credit data requests, the various software functions programmed into computer system “A”110 are shown, in part, by the block labeled with
reference numeral 130. - The
server 130 of the computer system “A” (110 in FIG. 1) functions as aresource manager 132 by identifying formatted requests for information from CPU-CPU orGUI clients data base engine 160 for servicing. Separate tables for data fields are maintained, thereby reducing lookup time. These tables are accessed by respective programs executed by aTUXEDO server 134. The tables include, for example, consumer names 136,tradelines 138, (i.e., credit lines such as Mastercard, VISA, American Express, CitiBank), consumer addresses 140, driver's license numbers 142 (DL), social security numbers (SSN) 144, associations 146 (described further below), inquiries 148, public information 150 (tax liens, judgments, bankruptcies), additional miscellaneous information 152, and credit worthiness scores 154. Lastly, theORACLE resources manager 160 services the requests by accessing thedata base 112 to find the information in reply to such requests. - The foregoing computer equipment and peripherals are programmed to respond to on-line user demands for carrying out various calculations of consumer credit data to present credit information in numerical and graphical formats, as shown in the following GUI screen displays. In accordance with an important feature of the invention, the consumer credit data entered into the data base is not only maintained for a long period of time, the data is accumulated for various parameters, such as current balance, past due amount, etc. and enables on-line users to make better decisions as to credit changes of the consumers.
- Turning now to FIG. 3, there is shown an options screen wherein on-line customers have the opportunity to change credit reporting options during an on-line session. Options may be selected individually or according to standardized options packages as shown. Included among the options is the reporting of historic data for the twenty-four month period preceding the latest report, and the ability to display information for the preceding twelve or twenty-four month period in a compressed numerical grid format. With the information thus presented, an on-line user can trace the origins of a consumer's present credit status, including individual and total balances paid, and determine if there is a trend, i.e. if the credit status is improving or deteriorating, this is significant in determining whether to change the credit rating of the consumer, discontinue extending credit, increase collection efforts or to terminate the account. Conventional credit reporting systems report a tally of the number of times a consumer has been delinquent and total delinquency, but do not reflect the more detailed information supplied by the system of FIG. 1. A significant feature of the invention is the ability to change reporting options during an on-line session (i.e., point and click). It should be noted that the various screens of FIGS.3-14 are selected by the user by selecting or clicking on the subject matter areas of the top of the respective screens.
- Turning now to FIG. 4, there is shown a GUI inquiry search screen where on-line customers can enter search criteria into predefined fields, thereby eliminating the complex series of commas, periods, and spaces utilized by the prior art technology. On-line customers can sequentially move between fields shown by pressing the TAB key of the keyboard. By entering information into the predefined fields, on-line users can create a customized search criteria. In addition, as shown in the figure by downward pointing arrows following fields, several of the predefined fields are capable of displaying a list of selections from which the on-line user may choose, for example, various “states” can be selected to modify the search criteria.
- In FIG. 5, there is shown a GUI standard credit report screen displaying trade line information for the various credit lending institutions. While two such institutions are shown in the screen display of FIG. 5, others may be viewed by scrolling the bottom portion of the screen. In addition to other information presented on a particular account, the screen displays information regarding utilization of credit resources, thereby indicating substantial increases or decreases in credit usage. Information so presented is sorted by tradelines, which is information concerning a consumer's credit relationships with the various credit extending institutions. An object of the invention is to display only credit information relevant to a credit allocation decision.
- In accordance with the display of the “Payment History” information, there is displayed for the business “The Limited” numerical information “221000000000”. Each digit position indicates a 30-day period, and the value of each digit represents the number of 30-day periods the account was delinquent in paying the requisite amount towards reducing the balance of the account. The example screen of FIG. 5 shows that for the business “The Limited”, the particular consumer was delinquent in
payments 60 days, 60 days, 30 days, zero days, etc. This information does not provide the actual days when such delinquency occurred. Another important feature of this aspect is that the system further provides such dates in numerical form on the third line below the name of the business. In particular, this screen display shows that the actual date of delinquency, and the number of days delinquent. For example, the “June 96-60” indicates that as of June 1996, the account for The Limited business for the particular consumer was 60 days delinquent. On “May 96-60”, the balance was still 60 days delinquent, and on April 96 the balance was 30 days delinquent. Thus, on the same screen displayed to the user, not only are the delinquencies displayed, but the actual days also. This is important information that can be readily obtained without bringing up the other screens to obtain such information. - Referring now to FIG. 6, there is shown a GUI standard credit report screen displaying additional tradeline information. By selecting the scroll bars in the window, an on-line user can review all the tradeline information available for a particular consumer. As will be described below, by clicking on “Grid Delinquency”, the numerical delinquency history is displayed, such as shown in FIG. 11. By clicking on “Graph Tradeline”, a graphical display of the historical delinquency information is presented such as FIGS. 8 and 9.
- Turning now to FIG. 7, there is shown a GUI standard credit report screen overlaid on the screen of FIG. 6, displaying additional tradeline information on a particular credit grantor. By selecting any particular tradeline from the tradelines shown in FIGS.5 or 6, additional information is presented to the on-line user concerning that particular tradeline, including special comments. The screen display of FIG. 7 was obtained by pointing and clicking on “The Limited” displayed in FIGS. 5 or 6. Here, there is shown additional and more particular data concerning the account with the particular credit grantor. The particular information shown indicates that as to the consumer identified by the account number, the highest balance occurred on Jun. 1, 1996 and the date of the original delinquency was Apr. 15, 1996. In the special comment section, it is noted that the particular account is in the collection process.
- Turning now to FIG. 8, there is shown a GUI report screen displaying a graphical presentation of information for the past twenty four months for a particular tradeline. Information is presented in a bar graph format and graphically shows the progression of payments and charges for the preceding twenty four month period, resulting in a highly efficient means of displaying information to the on-line user. The raw numbers used to generate the bar graph are made available to the on-line user through the scroll box appearing immediately below the bar graph. With the information thus presented, an on-line user can determine the historical trend with respect a particular tradeline for the preceding twenty four month period, as opposed to a simple indication of how many times a consumer has been thirty (30), sixty (60), or ninety (90) days past due on an account.
- The vertical axis of the graph shows the dollar amount of the account balance, the bars of the graph above the “0” dollar balance amount show the particular amount of the balance for each of the calendar months. The bars below the zero-balance line show those month for which past due amounts have appeared. The numerical past due amounts shown on the grid at the bottom of the screen display correspond to the length of the bars extending below the zero-balance line. In like manner, the numbers in the “Cur Balance” column of the bottom grid of FIG. 8 correspond to the length of the current balance bars extending above the zero-balance line of the graph. Thus, both the numerical trend and the graphical trend are depicted on the same screen display so that the on-line use can make the best, most efficient and thorough analysis of the credit history of the user.
- As can be appreciated from the foregoing, the same consumer credit data can be presented in many different formats, all according to the desires of the on-line user. For example, the historical data of a consumer, for each tradeline, can be displayed as set forth in FIG. 5, as the numerical grid at the bottom of the screen display of FIG. 8, and in graphical form as shown in the middle of the screen display of FIG. 8.
- Turning now to FIG. 9, there is shown a GUI screen displaying multiple credit indicators in graphical format. Each credit indicator or datum is presented in a bar graph format for the preceding twenty four month period, resulting in highly efficient means of displaying information to the on-line user. Information so displayed may be selected by the on-line user. The various credit indicators shown are monthly installment current balance, total monthly current balance, past due amount and total estimated monthly payments. Each data indicator provides trend information by quarters, over a two-year period. The past due amount shown in FIG. 9 corresponds to that shown in both graphical and numerical form in FIG. 8. The “Monthly Installment Current Balance” graph illustrates the aggregate of all credit account balances for the consumer of interest. By aggregating the data of all the accounts, a better appraisal of the overall credit picture can be made in a much smaller period of time.
- With reference now to FIG. 10, there is shown a GUI screen where on-line users can select information to be presented in graphical format or in printed form as shown in FIG. 9. The point and click selection of “GRAPHS” brings up this screen display. Of the many graphical depictions that are available from this screen, four such graphs can be selected for display on a single display, such as shown in FIG. 9. Multiple display options are presented.
- Turning now to FIG. 11, there is shown a GUI standard credit report screen where payment history for the prior twenty four months is displayed in a delinquency grid format. All tradeline data for a particular credit consumer is summarized in a grid format with numbers used to indicate months past due for particular tradelines. Again, the delinquencies are shown for 30-day periods, i.e., “2” means 60 days.
- With reference to FIG. 12, there is shown a GUI standard credit report screen where special comments on particular tradelines can be entered and viewed by on-line users. The Special Comments area can be utilized for showing information relevant to other sections clicked. The comments shown in the screen display is a result of clicking on “col” for collections.
- In FIG. 13, there is shown a GUI standard credit report screen where on-line users can select multiple sorting options for optimal presentation in user defined reporting environments. Thus, the presentation to any particular on-line user can be optimized by the on-line user for maximal efficiency and flexibility of presentation.
- With reference to FIG. 14, there is shown a GUI standard credit report screen where consumer identifying demographic information can be entered or displayed. Identification information on each consumer is stored by the system including tracking of the number of credit information sources that have reported such information, and the dates. This tracking system enables an on-line user to determine the reliability of any particular piece of information.
- This screen display depicts address information data for a particular credit consumer. As to the 1123 Locke Lane address, such address was first reported on May 12, 1996, and last reported on Jul. 7, 1996, with one source reporting such address. With respect to the 250 Threadneedle address of the same consumer, eleven tradeline sources reported such address between the dates of Sep. 22, 1991 and Jul. 1, 1996. An undisclosed tradeline reported that the consumer lived at the address of 934 Henry Street, but no reporting source reports that the consumer lives there any longer. The “warning” line indicates that the address input by the on-line user does not match any address on file.
- Near the bottom of FIG. 14, there is illustrated the various Social Security Numbers reported by the consumer in applying for credit. While the Social Security Numbers are different, it is apparent that there was a simple transposition of the first two digits. In the “warning” line of the display, a statement can be displayed when the credit consumer submits a Social Security Number of a deceased person.
- In addition to other features, the on-line consumer credit data reporting system can make and display associations between reported consumers. Thus, consumers who jointly participate in a particular tradeline, either through marriage, authorization, or contractually, are associated and their individual credit histories and other identifying information can be presented to the on-line user. By making and displaying associations, the on-line system can provide a report of each person associated with a particular tradeline and facilitate other activities including skip-tracing and marketing. Thus, information (addresses, financial relationship, equal credit opportunity act level, etc.) on other consumers associated with a base consumer tradeline may be reported to the on-line consumer credit data reporting system user.
- The on-line consumer credit data reporting system has an online product catalogue for providing customers with a full suite of traditional credit analysis products, including credit reports, prescreened lists, collection reports and other credit grantor products.
- Credit reports are the primary on-line product purchased by credit grantors. A credit report contains all of the identification, trade account and public records information found in the data base of the on-line consumer credit reporting agency. Credit reports can be delivered in either machine readable or human readable formats.
- The single-instance data base can store and maintain twenty four months of data detailing each consumer's monthly credit balances, payment information and past due amounts. The advanced logic for matching inquiries to correct credit files yields fewer incorrectly purchased credit reports. This feature reduces the chance of consumer relations problems due to mistaken access of the wrong credit file.
- Credit grantors can obtain a consumer's file by using the consumer's account number with that credit grantor. In addition to lowering costs with fewer key strokes, this feature results in accurate file retrieval, even in cases involving multiple names, addresses or social security numbers.
- The on-line graphical user interface (GUI) as shown in FIGS.3-14 provides the capability to deliver credit reports in an on-line user specified format and allows for easy retrieval and analysis of credit reports in a graphical representation.
- Products provided by the on-line consumer data reporting system can include collection reports (as shown in FIG. 1), skip-locating service (which may be based on information as shown in FIG. 14), on-line decoding (as shown in FIG. 7), and trend data (as shown in FIGS. 5, 6,8, 9, 11). Collection reports are designed for skip-tracing purposes and to help locate individuals who have “skipped” out on a debt. The report contains full consumer identification information including name, address and phone numbers of all credit grantors that submit account information to the consumer's file. With this report a collector can contact other creditors to uncover new addresses for the consumer.
- The skip-locating service allows a creditor to place a flag in the consumer's file that generates a notification every time a new consumer address is uncovered. The new address information may come from an inquiry to the file or from an accounts receivable tape. Such information is stored as shown in FIG. 14. The on-line decode service will display the full name, address and phone numbers of every credit grantor listed on the credit reports, as partially shown in FIG. 7. Other information concerning the credit grantor can be presented in other “pop-up” screens. Tradelines, inquiries and public record providers will all be decoded. This add-on product is used by collection agencies and mortgage credit reporting companies to allow them to contact creditors listed in the report.
- Trend data will allow lenders to greatly enhance their internal and/or external collection strategies by identifying those debtors who are likely to pay delinquent balances. Delinquent customers with a trend that reflects a willingness and ability to repay can be offered attractive repayment alternatives and even the possibility of remaining a customer. Those customers' accounts with negative trends can be denied further credit, or closed and sent to an outside agency for collection. Thus, the information presented in FIGS. 5, 6,8, 9, 11 results in more accurate decision making capabilities by on-line users.
- Products provided by the on-line consumer data reporting system may include prescreened lists compiled using one of two methods. One method involves taking criteria provided by on-line users and returning the names from those lists that pass the criteria established by the on-line user. Such lists can be communicated to the on-line consumer credit data reporting system by CPU-CPU clients as shown in FIGS. 1 and 2. Thus, a credit grantor may wish to prescreen a list of prospects for a new credit card, or buyers of particular products or services that may be of interest. For example, buyers of certain magazines or products may be likely to purchase a home and therefore could be targeted for directed advertising.
- The other method involves direct extraction of data from the massive single instance data base. Thus, lists of consumers matching a series of criteria (e.g., income level, credit scores, purchasing habits) can be offered to customers as a separate product that may further be used in mailing or direct marketing campaigns, or for other uses. These prescreened lists are an integral part of most direct mail credit offers.
- The system allows selected credit grantors to develop and test prescreen criteria online against a national data base. Modeling against a national file rather than a regional file gives the credit grantor more accurate statistics at the beginning of a program. Thus, credit grantors can assess prescreen criteria dynamically on current national data as opposed to relying on out of date or partial data.
- Prescreens can be performed against the on-line data base as stored in DASD112 (FIG. 1) rather than an archived copy of the data base. By using real-time, on-line data, prescreen decisions using the on-line data base more accurately reflect current consumer debt standings, and provide a better indication of credit risk.
- The on-line data base includes a number of ancillary data bases. Multiple data files of census demographics and other information can be incorporated into the prescreen process. This allows the credit grantor to target more specific audiences in prescreen mailings, thus enhancing a response.
- Other products provided by the on-line consumer data reporting system may include: credit risk scores, fraud alert services, report summaries and address search features. Credit risk scores are added to credit reports as a modeled indictor of a consumer's propensity to conduct its business and lifestyle in a certain way. An on-line user may select such reporting as shown in FIG. 3. Scores may be generic for all credit grantors, generic for a specific type of credit grantor, or custom developed for an individual credit grantor. Generic scores in use at current repositories include: bankruptcy risk scores, delinquency risk scores, response probability scores, profitability scores and collection scores.
- The system can provide a fraud alert service. The system will maintain a data base of mail drop addresses, prison addresses, and names and social security numbers that have previously been used in credit fraud activities. A customer may elect to have their inquiries compared against this data base and the result displayed on the credit report.
- The system can provide a report summary. A summary of the information on a credit report may be purchased as an enhancement to a full credit report, or it may be purchased as a single product.
- The system can provide an address search feature. This feature validates a consumer's current and previous addresses based on the input of name, prior address, social security number, or other identifying information (e.g. driver's license number) at the time a credit report is ordered, as shown in FIG. 4. This invention can thus be marketed as a locate tool.
- Turning now to FIG. 15, there is shown in more detail the single-instance
relational data base 112 noted in FIG. 1 as theDASD 112. The singleinstance data base 112 is comprised of various individual files and control tables. The arrows between the files depict the interrelationship therebetween such that the result is a relational data base. Data store DS1 contains the control tables necessary to employ all the rules governing the updating of the data-stores, including those rules inherent within the relational data base software. To that end, the control tables of the DS1 data base control the activity between the other individual data bases. Data Store DS2 contains the financial data elements such as account numbers and payment amounts of each consumer identified in thedata base 112. Data Store DS3 contains all identifying information for individuals, including names, addresses, date of birth, Social Security Number information as well as any other information that may be used to indicate a unique identity. Other identifying features could include digital fingerprints, retinal scans and digitized photographs. Data Store DS4 contains all data of historical importance. This data is specified as needing little or no future updating and as such is structured within thedata base 112 for optimum high speed storage and retrieval. Data Store DS5 contains all data of a legal nature including but not limited to public records i.e., data store judgments, tax liens, bankruptcies, etc. - FIG. 16 is a diagram showing the data information flow between the various functional apparatus and entities.
Reference numeral 170 represents the data acquisition process which involves the incoming transmission of credit data as well as any other financial data to be stored in the repository. Data is introduced into the system via various media types including but not limited to round reel tape, cartridge tape, floppy diskettes and electronic transmissions. The data edit and validation programs are shown asmodule 172. This software insures adherence to industry standard formats and contents. Any data failing to qualify will be retained from updating and returned to the sender with explanations of rejection. Data update and storage module 174 contains the processes and programs that may be purchased and/or proprietary that actually perform the updating and adding of new data to the repository. All rules for updating the data are imbedded within the proprietary code and all rules to insure integrity and cardinality of the data base are provided by data updating and storage software. Software module 176 depicts the data verification and correction processes. The invention provides for automatic data verification utilizing statistical averaging of data attributes as individual decisioning points for verification of proper updating. If variances, which are set manually and calculated automatically, are out of sync, the system will notify the specified person or persons and in some instances automatically corrects the erroneous data. This area also allows for manual correction of data by use of proprietary written software. This process has interfaces with outside service providers for sharing data changes within the industry, thus providing enhanced consumer service. Thesoftware modules 170, and 176 are resident inDASD 112 of FIG. 1. - The
network management equipment 178 includes all purchased hardware and software as well as custom software utilized to control and provide network access to the repository data base. This includes all routers, front-end processors, network management software and transport services. Thenetwork security software 180 is commercially available, and contains all log on, password and connectivity aspects of the system. Network security is the first level of security for protecting the system, and is followed by application and data base levels of security. Applicationprogram interfaces software 182 is provided to allow custom programs and packaged software to be accessed via various standard protocols. Report request andretrieval software 184 is the process by which subscribers to the service actually provide the identifying information of an individual, and the system retrieves the requested data while performing a match to the data base and any custom analysis requested by the subscriber. Thesoftware terminal server 109 of FIG. 1. - The
hub 186 of FIG. 16 represents the participants in the process. Credit grantors provide data to the system that is used to build and enhance the repository data base. Credit grantors also become subscribers who purchase the composite data from the repository. Other data contributors may include providers of public record information and providers of demographic information on individuals. The latter participants typically do not purchase data from the repository data base. - The foregoing sets forth many examples in which historical credit information is maintained in the data base and made available to on-line users as graphical user interfaces. This differs from traditional credit information data bases, in that the conventional technique is to provide the user with the most current credit information, and not historical data information. As noted above, erroneous decisions can often be made based on current credit information, in that a first consumer and a second consumer can have very similar credit information at a certain point in time, but the credit histories are vastly different. It is obvious that given this situation, the credit worthiness of one consumer having a good history of payment is much better than another consumer who has a poor history of payments toward reducing the balance, even though both consumers have similar credit data, if assessed only at one point in time.
- FIG. 17 illustrates such a situation. Here,
line 200 illustrates consumer A who has a revolving account. Line 202 represents consumer B who also has a revolving account. The horizontal axis of the graph illustrates a twenty-four month trend and the vertical axis indicates the account balance. It is noted that consumer A initially has a high balance which is reduced by payments, the balance again rises, but again is reduced by other payments, and then the balance again rises to the point in time labeled “X”. This type of credit consumer is termed a “seasonal revolver,” as goods or services are purchased during the year, perhaps at holidays such as Christmas, Thanksgiving, etc., but the balances are paid off. This type of consumer is attractive and desired, in that the consumer pays the balance plus interest charges in a timely manner, thereby representing a profitable consumer to the credit card business industry. In contrast, consumer B has had a very low balance for a major portion of the twenty-four month period, but the balance increases in the last period of the time, and is a little greater than the balance of consumer A at the period in time denoted by the vertical line X. If an on-line user only had available the most current credit information at the time X, then consumer B would not look a lot different from consumer A, in terms of credit balances. However, when the historical credit information of consumer A is made available, it becomes clear that the credit risk of consumer A is much superior to that of consumer B. In accordance with an important feature of the invention, not only is the historical credit information made available to the on-line user, but such information is presented in a highly efficient and usable form. - As can be appreciated from the description of the invention herein, the on-line consumer credit data reporting system and method of operation thereof involves principles and concepts that overcome many of the shortcomings and disadvantages of the prior art consumer credit reporting systems. Therefore, while the preferred and other embodiments of the methods and apparatus have been disclosed with reference to specific software and hardware structures, techniques and the like, it is to be understood that many changes in detail may be made as a matter of engineering choices without departing from the spirit and scope of the invention, as defined by the appended claims. Indeed, those skilled in the art may prefer to embody the apparatus and/or software in other forms, and in light of the present description, they will find it easy to implement that choice. Also, it is not necessary to adopt all the various advantages and features of the present in a single embodiment or assembly in order to realize the individual advantages disclosed herein.
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Cited By (163)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20020023230A1 (en) * | 2000-04-11 | 2002-02-21 | Bolnick David A. | System, method and computer program product for gathering and delivering personalized user information |
US20020026293A1 (en) * | 2000-08-28 | 2002-02-28 | Toshiba Engineering Corporation | Method and apparatus for generating measurement data |
US20020042763A1 (en) * | 2000-06-16 | 2002-04-11 | Ranjini Pillay | Apparatus and method for providing trade credit information and/or trade credit insurance information |
US20020072927A1 (en) * | 2000-11-14 | 2002-06-13 | William Phelan | Methods and apparatus for automatically exchanging credit information |
US20020077964A1 (en) * | 1999-12-15 | 2002-06-20 | Brody Robert M. | Systems and methods for providing consumers anonymous pre-approved offers from a consumer-selected group of merchants |
US20020087460A1 (en) * | 2001-01-04 | 2002-07-04 | Hornung Katharine A. | Method for identity theft protection |
US20020120560A1 (en) * | 2001-02-26 | 2002-08-29 | Morgan Richard L. | System for pricing a payment protection product and method of operation thereof |
US20030083893A1 (en) * | 2001-10-29 | 2003-05-01 | Aliffi Patrick A. | System and method for facilitating reciprocative small business financial information exchanges |
US20030149645A1 (en) * | 2002-01-22 | 2003-08-07 | Flynn Joseph A. | Method and system of managing accounts payable auditing data |
US20030154162A1 (en) * | 2002-02-11 | 2003-08-14 | Danaher John Thomas | Credit report retrieval system including voice-based interface |
US20030225729A1 (en) * | 2002-05-31 | 2003-12-04 | American Express Travel Related Services Company, Inc. | System and method for facilitating information collection, storage, and distribution |
US20030231750A1 (en) * | 2002-06-14 | 2003-12-18 | Karn Janveja | Skip tracing system |
US20040039586A1 (en) * | 2002-03-13 | 2004-02-26 | Garvey Michael A. | Method and apparatus for monitoring events concerning record subjects on behalf of third parties |
US20040133521A1 (en) * | 1999-10-19 | 2004-07-08 | Shad Hedy | System and method for real-time electronic inquiry, delivery, and reporting of credit information |
US20040199458A1 (en) * | 2003-04-07 | 2004-10-07 | Thinh Ho | System and method for on-line mortgage services |
US20040199536A1 (en) * | 2003-03-24 | 2004-10-07 | Barnes Leon Maria Theresa | Product common object |
US20050004870A1 (en) * | 2002-10-01 | 2005-01-06 | Mcgaughey Richard D. | Methods and apparatus for sharing revenue associated with negative collection information |
US20050206943A1 (en) * | 2004-03-22 | 2005-09-22 | Fuji Photo Film Co., Ltd. | Print order receiving method and apparatus and printing system |
US20050261926A1 (en) * | 2004-05-24 | 2005-11-24 | Hartridge Andrew J | System and method for quantifying and communicating a quality of a subject entity between entities |
US7028052B2 (en) * | 2001-05-10 | 2006-04-11 | Equifax, Inc. | Systems and methods for notifying a consumer of changes made to a credit report |
US20060149674A1 (en) * | 2004-12-30 | 2006-07-06 | Mike Cook | System and method for identity-based fraud detection for transactions using a plurality of historical identity records |
US7080035B1 (en) * | 2000-03-20 | 2006-07-18 | Bellsouth Intellectual Property Corp. | System and method for notifying an electronic billing vendor of a customer status change |
US20060200396A1 (en) * | 2001-05-10 | 2006-09-07 | Satterfield Markus R | Systems and methods for notifying a consumer of changes made to a credit report |
US20060242050A1 (en) * | 2004-10-29 | 2006-10-26 | American Express Travel Related Services Company, Inc. | Method and apparatus for targeting best customers based on spend capacity |
US20060242051A1 (en) * | 2004-10-29 | 2006-10-26 | American Express Travel Related Services Company, Inc. | Method and apparatus for development and use of a credit score based on spend capacity |
US20060242047A1 (en) * | 2004-10-29 | 2006-10-26 | American Express Travel Related Services Company, Inc., A New York Corporation | Method and apparatus for rating asset-backed securities |
US20060242039A1 (en) * | 2004-10-29 | 2006-10-26 | Haggerty Kathleen B | Method and apparatus for estimating the spend capacity of consumers |
US20060242049A1 (en) * | 2004-10-29 | 2006-10-26 | American Express Travel Related Services Company, Inc. | Credit score and scorecard development |
US20060242048A1 (en) * | 2004-10-29 | 2006-10-26 | American Express Travel Related Services Company, Inc. | Method and apparatus for determining credit characteristics of a consumer |
US20070067207A1 (en) * | 2004-10-29 | 2007-03-22 | American Express Travel Related Services Company, Inc. | Using commercial share of wallet to analyze vendors in online marketplaces |
US20070067206A1 (en) * | 2004-10-29 | 2007-03-22 | American Express Travel Related Services Company, Inc. | Using commercial share of wallet to compile marketing company lists |
US20070067209A1 (en) * | 2004-10-29 | 2007-03-22 | American Express Travel Related Services Company, Inc. | Determining commercial share of wallet |
US20070078741A1 (en) * | 2004-10-29 | 2007-04-05 | American Express Travel Related Services Company, Inc. | Using commercial share of wallet in private equity investments |
US20070100719A1 (en) * | 2004-10-29 | 2007-05-03 | American Express Travel Related Services Company, Inc. | Estimating the Spend Capacity of Consumer Households |
US20070162464A1 (en) * | 2005-09-07 | 2007-07-12 | Rieffanaugh Neal K Jr | Verified personal credit search system and method thereof |
US20070168246A1 (en) * | 2004-10-29 | 2007-07-19 | American Express Marketing & Development Corp., a New York Corporation | Reducing Risks Related to Check Verification |
US20070192165A1 (en) * | 2004-10-29 | 2007-08-16 | American Express Travel Related Services Company, Inc. | Using commercial share of wallet in financial databases |
US20070208878A1 (en) * | 2003-03-24 | 2007-09-06 | Barnes-Leon Maria T | Service request common object |
US20070208577A1 (en) * | 2003-03-24 | 2007-09-06 | Leon Maria T B | Position common object |
US20070208578A1 (en) * | 2004-05-21 | 2007-09-06 | Caroline Muralitharan | Modeling of job profile data |
US20070214065A1 (en) * | 2003-03-24 | 2007-09-13 | Paramjit Kahlon | Inventory transaction common object |
US20070214064A1 (en) * | 2003-03-24 | 2007-09-13 | Paramjit Kahlon | Inventory location common object |
US20070214063A1 (en) * | 2003-03-24 | 2007-09-13 | Paramjit Kahlon | Inventory balance common object |
US20070226037A1 (en) * | 2003-03-25 | 2007-09-27 | Shailendra Garg | Modeling of opportunity data |
US20070226114A1 (en) * | 2004-10-29 | 2007-09-27 | American Express Travel Related Services Co., Inc., A New York Corporation | Using commercial share of wallet to manage investments |
US20070226049A1 (en) * | 2004-05-21 | 2007-09-27 | Caroline Muralitharan | Modeling of employee performance result data |
US20070226093A1 (en) * | 2002-12-20 | 2007-09-27 | Chan Cynthia M | Financial services data model |
US20070238891A1 (en) * | 2006-02-16 | 2007-10-11 | Winsness David J | Method of freeing the bound oil present in whole stillage and thin stillage |
US20070250408A1 (en) * | 2002-12-20 | 2007-10-25 | Leon Maria T B | Data model for business relationships |
US20080027859A1 (en) * | 2002-12-04 | 2008-01-31 | Pay Rent, Build Credit, Inc. | Preferred credit information data collection method |
US20080077525A1 (en) * | 2006-09-26 | 2008-03-27 | Bridgeforce, Inc. | Method and system for providing a multi-channel virtual collections center |
US20080086759A1 (en) * | 2006-10-10 | 2008-04-10 | Colson Christen J | Verification and authentication systems and methods |
US20080091818A1 (en) * | 2006-10-11 | 2008-04-17 | Rmb World Enterprises, Llc | System And Method Of Employing Web Services Applications To Obtain Real-Time Information From Distributed Sources |
US20080110973A1 (en) * | 2006-08-30 | 2008-05-15 | Nathans Michael G | System and method of credit data collection and verification |
US20080154758A1 (en) * | 2006-12-21 | 2008-06-26 | Friedrich Schattmaier | Systems and methods for maintaining credit information about an entity |
US20080195444A1 (en) * | 2004-10-29 | 2008-08-14 | American Express Travel Related Services Co., Inc. A New York Corporation | Using Commercial Share of Wallet to Rate Business Prospects |
US20080195445A1 (en) * | 2004-10-29 | 2008-08-14 | American Express Travel Related Services Co., Inc. A New York Corporation | Using Commercial Share of Wallet to Manage Vendors |
US20080195425A1 (en) * | 2004-10-29 | 2008-08-14 | American Express Travel Related Services Co., Inc., A New York Corporation | Using Commercial Share of Wallet to Determine Insurance Risk |
US20080235155A1 (en) * | 2007-03-19 | 2008-09-25 | Electronic Data Systems Corporation | Determining a Price Premium for a Project |
US20080270294A1 (en) * | 1998-11-03 | 2008-10-30 | Lent Jeremy R | Method and Apparatus for a Verifiable On Line Rejection of an Applicant for Credit |
US7552080B1 (en) | 2001-03-09 | 2009-06-23 | Nextcard, Llc | Customized credit offer strategy based on terms specified by an applicant |
US7562814B1 (en) | 2003-05-12 | 2009-07-21 | Id Analytics, Inc. | System and method for identity-based fraud detection through graph anomaly detection |
US20090248518A1 (en) * | 2008-03-28 | 2009-10-01 | Fujitsu Limited | Sales support apparatus, computer-readable recording medium having recorded therein sales support program, and sales support method |
US20090287604A1 (en) * | 2008-05-16 | 2009-11-19 | Ayse Korgav | Desktop alert with interactive bona fide dispute initiation through chat session facilitated by desktop application |
US20100010861A1 (en) * | 2008-07-11 | 2010-01-14 | Collections Marketing Center, Llc | Method and system for providing a virtual collections call center system |
US7686214B1 (en) | 2003-05-12 | 2010-03-30 | Id Analytics, Inc. | System and method for identity-based fraud detection using a plurality of historical identity records |
US20100138338A1 (en) * | 2008-09-24 | 2010-06-03 | Ayman Hammad | Intelligent alert system and method |
US20100268696A1 (en) * | 2009-04-16 | 2010-10-21 | Brad Nightengale | Advanced Warning |
US20100274739A1 (en) * | 2004-10-29 | 2010-10-28 | American Express Travel Related Services Company Inc. | Using Commercial Share of Wallet To Rate Investments |
US20100274572A1 (en) * | 2009-04-28 | 2010-10-28 | Ayman Hammad | Alert architecture |
US20100287250A1 (en) * | 2009-04-28 | 2010-11-11 | Mark Carlson | Merchant Alert Based System and Method Including Customer Presence Notification |
US20100299249A1 (en) * | 2009-04-28 | 2010-11-25 | Mark Carlson | Sku level control and alerts |
US20110010217A1 (en) * | 2009-07-13 | 2011-01-13 | International Business Machines Corporation | Service Oriented Architecture Governance Using A Template |
US20110022439A1 (en) * | 2009-07-22 | 2011-01-27 | International Business Machines Corporation | System for managing events in a configuration of soa governance components |
US7912770B2 (en) | 2004-10-29 | 2011-03-22 | American Express Travel Related Services Company, Inc. | Method and apparatus for consumer interaction based on spend capacity |
US20110082721A1 (en) * | 2009-10-02 | 2011-04-07 | International Business Machines Corporation | Automated reactive business processes |
US20110087575A1 (en) * | 2008-06-18 | 2011-04-14 | Consumerinfo.Com, Inc. | Personal finance integration system and method |
US8010422B1 (en) | 1998-11-03 | 2011-08-30 | Nextcard, Llc | On-line balance transfers |
US8015107B2 (en) | 2002-05-30 | 2011-09-06 | Experian Information Solutions, Inc. | System and method for interactively simulating a credit-worthiness score |
US8175889B1 (en) | 2005-04-06 | 2012-05-08 | Experian Information Solutions, Inc. | Systems and methods for tracking changes of address based on service disconnect/connect data |
US8255307B1 (en) * | 2001-03-01 | 2012-08-28 | Jpmorgan Chase Bank, N.A. | System and method for measuring and utilizing pooling analytics |
US8280761B1 (en) * | 2001-06-15 | 2012-10-02 | West Corporation | Method of facilitating contact between a consumer and a requesting entity |
US8285656B1 (en) | 2007-03-30 | 2012-10-09 | Consumerinfo.Com, Inc. | Systems and methods for data verification |
US8312033B1 (en) | 2008-06-26 | 2012-11-13 | Experian Marketing Solutions, Inc. | Systems and methods for providing an integrated identifier |
US8321334B1 (en) | 2003-05-30 | 2012-11-27 | Experian Information Solutions, Inc. | Credit score simulation |
US8321952B2 (en) | 2000-06-30 | 2012-11-27 | Hitwise Pty. Ltd. | Method and system for monitoring online computer network behavior and creating online behavior profiles |
WO2013009920A1 (en) * | 2011-07-12 | 2013-01-17 | Experian Information Solutions, Inc. | Systems and methods for a large-scale credit data processing architecture |
US8386377B1 (en) | 2003-05-12 | 2013-02-26 | Id Analytics, Inc. | System and method for credit scoring using an identity network connectivity |
US8392334B2 (en) | 2006-08-17 | 2013-03-05 | Experian Information Solutions, Inc. | System and method for providing a score for a used vehicle |
US8392298B2 (en) | 2003-03-04 | 2013-03-05 | Siebel Systems, Inc. | Invoice adjustment data object for a common data object format |
US8396455B2 (en) | 2008-09-25 | 2013-03-12 | Visa International Service Association | Systems and methods for sorting alert and offer messages on a mobile device |
US8453068B2 (en) * | 2011-04-11 | 2013-05-28 | Credibility Corp. | Visualization tools for reviewing credibility and stateful hierarchical access to credibility |
US8463919B2 (en) | 2001-09-20 | 2013-06-11 | Hitwise Pty. Ltd | Process for associating data requests with site visits |
US20130159168A1 (en) * | 1999-03-12 | 2013-06-20 | Scott L. Evans | System and Method for Debt Presentment and Resolution |
US8473410B1 (en) | 2012-02-23 | 2013-06-25 | American Express Travel Related Services Company, Inc. | Systems and methods for identifying financial relationships |
US8473399B2 (en) | 2003-03-04 | 2013-06-25 | Siebel Systems, Inc. | Invoice data object for a common data object format |
US8478674B1 (en) | 2010-11-12 | 2013-07-02 | Consumerinfo.Com, Inc. | Application clusters |
US20130218752A1 (en) * | 2011-09-22 | 2013-08-22 | Paul Pawlusiak | System and method of expedited credit and loan processing |
US20130226780A1 (en) * | 2012-02-23 | 2013-08-29 | American Express Travel Related Services Company, Inc. | Systems and methods for identifying financial relationships |
US8533082B1 (en) * | 2009-08-14 | 2013-09-10 | Bank Of America Corporation | Consumer leverage modeling |
US8538869B1 (en) | 2012-02-23 | 2013-09-17 | American Express Travel Related Services Company, Inc. | Systems and methods for identifying financial relationships |
US8595101B1 (en) | 2008-09-08 | 2013-11-26 | Exerian Information Solutions, Inc. | Systems and methods for managing consumer accounts using data migration |
US8606666B1 (en) | 2007-01-31 | 2013-12-10 | Experian Information Solutions, Inc. | System and method for providing an aggregation tool |
US8615458B2 (en) | 2006-12-01 | 2013-12-24 | American Express Travel Related Services Company, Inc. | Industry size of wallet |
US8630929B2 (en) | 2004-10-29 | 2014-01-14 | American Express Travel Related Services Company, Inc. | Using commercial share of wallet to make lending decisions |
US20140025562A1 (en) * | 2012-07-18 | 2014-01-23 | Corelogic Solutions, Llc. | Enhanced credit reporting system, method and computer program product |
US8639616B1 (en) | 2010-10-01 | 2014-01-28 | Experian Information Solutions, Inc. | Business to contact linkage system |
US8639920B2 (en) | 2009-05-11 | 2014-01-28 | Experian Marketing Solutions, Inc. | Systems and methods for providing anonymized user profile data |
WO2014055220A2 (en) * | 2012-10-04 | 2014-04-10 | Innovation Software, Llc | Cloud-based skip tracing application |
US8713190B1 (en) * | 2006-09-08 | 2014-04-29 | At&T Intellectual Property Ii, L.P. | Method and apparatus for performing real time anomaly detection |
US8738732B2 (en) | 2005-09-14 | 2014-05-27 | Liveperson, Inc. | System and method for performing follow up based on user interactions |
US8738516B1 (en) | 2011-10-13 | 2014-05-27 | Consumerinfo.Com, Inc. | Debt services candidate locator |
US20140156503A1 (en) * | 2012-12-03 | 2014-06-05 | Experian Information Solutions, Inc. | Systems and methods for providing a customizable credit report |
US8762313B2 (en) | 2008-07-25 | 2014-06-24 | Liveperson, Inc. | Method and system for creating a predictive model for targeting web-page to a surfer |
US8781953B2 (en) | 2003-03-21 | 2014-07-15 | Consumerinfo.Com, Inc. | Card management system and method |
US8799148B2 (en) | 2006-08-31 | 2014-08-05 | Rohan K. K. Chandran | Systems and methods of ranking a plurality of credit card offers |
US8799200B2 (en) | 2008-07-25 | 2014-08-05 | Liveperson, Inc. | Method and system for creating a predictive model for targeting webpage to a surfer |
US8805941B2 (en) | 2012-03-06 | 2014-08-12 | Liveperson, Inc. | Occasionally-connected computing interface |
US8805844B2 (en) | 2008-08-04 | 2014-08-12 | Liveperson, Inc. | Expert search |
WO2014137759A1 (en) * | 2013-03-06 | 2014-09-12 | Experian Information Solutions, Inc. | Systems and methods for microfinance credit data processing and reporting |
US8868448B2 (en) | 2000-10-26 | 2014-10-21 | Liveperson, Inc. | Systems and methods to facilitate selling of products and services |
US8918891B2 (en) | 2012-06-12 | 2014-12-23 | Id Analytics, Inc. | Identity manipulation detection system and method |
US8918465B2 (en) | 2010-12-14 | 2014-12-23 | Liveperson, Inc. | Authentication of service requests initiated from a social networking site |
US8943002B2 (en) | 2012-02-10 | 2015-01-27 | Liveperson, Inc. | Analytics driven engagement |
US8972400B1 (en) | 2013-03-11 | 2015-03-03 | Consumerinfo.Com, Inc. | Profile data management |
US20150066623A1 (en) * | 2005-10-25 | 2015-03-05 | Capital One Financial Corporation | Systems and methods for providing flexible incentive rewards |
US8996416B2 (en) | 2002-01-22 | 2015-03-31 | Lavante, Inc. | OCR enabled management of accounts payable and/or accounts receivable auditing data |
US9058627B1 (en) | 2002-05-30 | 2015-06-16 | Consumerinfo.Com, Inc. | Circular rotational interface for display of consumer credit information |
US9070136B2 (en) | 2012-10-04 | 2015-06-30 | Innovation Software, Llc | Cloud-based skip tracing application |
US9106691B1 (en) | 2011-09-16 | 2015-08-11 | Consumerinfo.Com, Inc. | Systems and methods of identity protection and management |
US9147042B1 (en) | 2010-11-22 | 2015-09-29 | Experian Information Solutions, Inc. | Systems and methods for data verification |
US9152727B1 (en) | 2010-08-23 | 2015-10-06 | Experian Marketing Solutions, Inc. | Systems and methods for processing consumer information for targeted marketing applications |
US9230283B1 (en) | 2007-12-14 | 2016-01-05 | Consumerinfo.Com, Inc. | Card registry systems and methods |
US9256904B1 (en) | 2008-08-14 | 2016-02-09 | Experian Information Solutions, Inc. | Multi-bureau credit file freeze and unfreeze |
US9350598B2 (en) | 2010-12-14 | 2016-05-24 | Liveperson, Inc. | Authentication of service requests using a communications initiation feature |
US9432468B2 (en) | 2005-09-14 | 2016-08-30 | Liveperson, Inc. | System and method for design and dynamic generation of a web page |
US9477988B2 (en) | 2012-02-23 | 2016-10-25 | American Express Travel Related Services Company, Inc. | Systems and methods for identifying financial relationships |
US9508092B1 (en) * | 2007-01-31 | 2016-11-29 | Experian Information Solutions, Inc. | Systems and methods for providing a direct marketing campaign planning environment |
US9558519B1 (en) | 2011-04-29 | 2017-01-31 | Consumerinfo.Com, Inc. | Exposing reporting cycle information |
US9563336B2 (en) | 2012-04-26 | 2017-02-07 | Liveperson, Inc. | Dynamic user interface customization |
US9654541B1 (en) | 2012-11-12 | 2017-05-16 | Consumerinfo.Com, Inc. | Aggregating user web browsing data |
US9652802B1 (en) | 2010-03-24 | 2017-05-16 | Consumerinfo.Com, Inc. | Indirect monitoring and reporting of a user's credit data |
US9665854B1 (en) | 2011-06-16 | 2017-05-30 | Consumerinfo.Com, Inc. | Authentication alerts |
US9672196B2 (en) | 2012-05-15 | 2017-06-06 | Liveperson, Inc. | Methods and systems for presenting specialized content using campaign metrics |
US9697263B1 (en) | 2013-03-04 | 2017-07-04 | Experian Information Solutions, Inc. | Consumer data request fulfillment system |
US20170200223A1 (en) * | 2002-09-21 | 2017-07-13 | Consumerinfo.Com, Inc. | Systems and methods of on-line credit information monitoring and control |
US9710802B2 (en) | 2009-04-28 | 2017-07-18 | Visa International Service Association | Merchant competition alert |
US9767212B2 (en) | 2010-04-07 | 2017-09-19 | Liveperson, Inc. | System and method for dynamically enabling customized web content and applications |
US9819561B2 (en) | 2000-10-26 | 2017-11-14 | Liveperson, Inc. | System and methods for facilitating object assignments |
US9853959B1 (en) | 2012-05-07 | 2017-12-26 | Consumerinfo.Com, Inc. | Storage and maintenance of personal data |
US9870589B1 (en) | 2013-03-14 | 2018-01-16 | Consumerinfo.Com, Inc. | Credit utilization tracking and reporting |
US9892417B2 (en) | 2008-10-29 | 2018-02-13 | Liveperson, Inc. | System and method for applying tracing tools for network locations |
US10102536B1 (en) | 2013-11-15 | 2018-10-16 | Experian Information Solutions, Inc. | Micro-geographic aggregation system |
US10255598B1 (en) | 2012-12-06 | 2019-04-09 | Consumerinfo.Com, Inc. | Credit card account data extraction |
US10262362B1 (en) | 2014-02-14 | 2019-04-16 | Experian Information Solutions, Inc. | Automatic generation of code for attributes |
US10278065B2 (en) | 2016-08-14 | 2019-04-30 | Liveperson, Inc. | Systems and methods for real-time remote control of mobile applications |
US10521857B1 (en) | 2003-05-12 | 2019-12-31 | Symantec Corporation | System and method for identity-based fraud detection |
US10685398B1 (en) | 2013-04-23 | 2020-06-16 | Consumerinfo.Com, Inc. | Presenting credit score information |
US10869253B2 (en) | 2015-06-02 | 2020-12-15 | Liveperson, Inc. | Dynamic communication routing based on consistency weighting and routing rules |
US10880313B2 (en) | 2018-09-05 | 2020-12-29 | Consumerinfo.Com, Inc. | Database platform for realtime updating of user data from third party sources |
USD955401S1 (en) * | 2020-08-13 | 2022-06-21 | Pnc Financial Services Group, Inc. | Display screen or portion thereof with graphical user interface |
US11386442B2 (en) | 2014-03-31 | 2022-07-12 | Liveperson, Inc. | Online behavioral predictor |
US11887175B2 (en) | 2006-08-31 | 2024-01-30 | Cpl Assets, Llc | Automatically determining a personalized set of programs or products including an interactive graphical user interface |
Families Citing this family (189)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2000070424A2 (en) * | 1999-05-12 | 2000-11-23 | Ewinwin, Inc. | Multiple criteria buying and selling model, and system for managing open offer sheets |
US7818212B1 (en) | 1999-10-22 | 2010-10-19 | Ewinwin, Inc. | Multiple criteria buying and selling model |
US7693748B1 (en) * | 1991-06-03 | 2010-04-06 | Ewinwin, Inc. | Method and system for configuring a set of information including a price and volume schedule for a product |
US7631343B1 (en) | 1993-03-24 | 2009-12-08 | Endgate LLC | Down-line transcription system using automatic tracking and revenue collection |
US5369704A (en) * | 1993-03-24 | 1994-11-29 | Engate Incorporated | Down-line transcription system for manipulating real-time testimony |
US7249026B1 (en) * | 1993-03-24 | 2007-07-24 | Engate Llc | Attorney terminal having outline preparation capabilities for managing trial proceedings |
KR100643871B1 (en) * | 1998-10-27 | 2006-11-13 | 소니 가부시끼 가이샤 | Recording Apparatus |
US6405181B2 (en) * | 1998-11-03 | 2002-06-11 | Nextcard, Inc. | Method and apparatus for real time on line credit approval |
US8036941B2 (en) * | 2000-03-21 | 2011-10-11 | Bennett James D | Online purchasing system supporting lenders with affordability screening |
US7539628B2 (en) | 2000-03-21 | 2009-05-26 | Bennett James D | Online purchasing system supporting buyer affordability screening |
US8290824B1 (en) | 1999-05-12 | 2012-10-16 | Ewinwin, Inc. | Identifying incentives for a qualified buyer |
US8140402B1 (en) | 2001-08-06 | 2012-03-20 | Ewinwin, Inc. | Social pricing |
US20110213648A1 (en) * | 1999-05-12 | 2011-09-01 | Ewinwin, Inc. | e-COMMERCE VOLUME PRICING |
US8732018B2 (en) | 1999-05-12 | 2014-05-20 | Ewinwin, Inc. | Real-time offers and dynamic price adjustments presented to mobile devices |
US8311896B2 (en) * | 1999-05-12 | 2012-11-13 | Ewinwin, Inc. | Multiple criteria buying and selling model |
US7593871B1 (en) | 2004-06-14 | 2009-09-22 | Ewinwin, Inc. | Multiple price curves and attributes |
US8626605B2 (en) | 1999-05-12 | 2014-01-07 | Ewinwin, Inc. | Multiple criteria buying and selling model |
US7797730B2 (en) * | 1999-06-24 | 2010-09-14 | Engate Llc | Downline transcription system using automatic tracking and revenue collection |
US7062462B1 (en) | 1999-07-26 | 2006-06-13 | The Chase Manhattan Bank | On-line higher education financing system |
US6850643B1 (en) * | 1999-09-08 | 2005-02-01 | Ge Capital Commercial Finance, Inc. | Methods and apparatus for collateral risk monitoring |
US7574400B1 (en) * | 1999-09-10 | 2009-08-11 | Jpmorgan Chase Bank, N.A. | Financing information processing system and method |
US6798413B1 (en) * | 1999-12-03 | 2004-09-28 | Dcs, Inc. | Workflow management system |
US7925539B1 (en) * | 1999-12-06 | 2011-04-12 | General Electric Company | Method and apparatus for screening transactions across a global computer network |
US7822805B1 (en) * | 1999-12-21 | 2010-10-26 | General Electric Company | Method and apparatus for screening a potential customer and assigning an account number to the potential customer across a global computer network |
US8036978B1 (en) * | 1999-12-31 | 2011-10-11 | Pitney Bowes Inc. | Method of upgrading third party functionality in an electronic fraud management system |
US7421409B1 (en) * | 2000-02-16 | 2008-09-02 | International Business Machines Corporation | Method and system for identifying teaser surfers with time series credit history |
US8504438B2 (en) | 2000-03-21 | 2013-08-06 | James D. Bennett | Online purchasing system supporting lenders with affordability screening |
US7599879B2 (en) | 2000-03-24 | 2009-10-06 | Jpmorgan Chase Bank, National Association | Syndication loan administration and processing system |
KR20030017485A (en) * | 2000-03-29 | 2003-03-03 | 리스쿠몬스타 가부시키가이샤 | System for anonymity electronic commerce having crediting function and method |
US7814011B1 (en) | 2000-04-27 | 2010-10-12 | Accenture Llp | System for calculating a support payment in a network-based child support framework |
US7716059B1 (en) | 2000-04-27 | 2010-05-11 | Accenture Global Services Gmbh | Network-based child support framework |
US6988082B1 (en) | 2000-06-13 | 2006-01-17 | Fannie Mae | Computerized systems and methods for facilitating the flow of capital through the housing finance industry |
US7593893B1 (en) | 2000-06-13 | 2009-09-22 | Fannie Mae | Computerized systems and methods for facilitating the flow of capital through the housing finance industry |
US7702580B1 (en) | 2000-06-13 | 2010-04-20 | Fannie Mae | System and method for mortgage loan pricing, sale and funding |
US6873972B1 (en) | 2000-08-01 | 2005-03-29 | General Electric Company | Systems and methods for credit line monitoring |
US20030009418A1 (en) * | 2000-12-08 | 2003-01-09 | Green Gerald M. | Systems and methods for electronically verifying and processing information |
US20020107788A1 (en) * | 2001-02-05 | 2002-08-08 | Cunningham Patrick Steven | Application and payment database system for lenders and builders and a method therefor |
US20020173994A1 (en) * | 2001-05-21 | 2002-11-21 | Ferguson Joseph M. | Method and apparatus for insuring an insured from identity theft peril and identity reclamation and credit restoration |
US7689506B2 (en) * | 2001-06-07 | 2010-03-30 | Jpmorgan Chase Bank, N.A. | System and method for rapid updating of credit information |
US20030093289A1 (en) * | 2001-07-31 | 2003-05-15 | Thornley Robert D. | Reporting and collecting rent payment history |
US20030074297A1 (en) * | 2001-10-04 | 2003-04-17 | Philip Carragher | Financial platform |
EP1436740A4 (en) * | 2001-10-16 | 2006-07-12 | Australia And New Zealand Bank | System and method for analyzing risk and profitability of non-recourse loans |
US20030115139A1 (en) * | 2001-12-19 | 2003-06-19 | U-Haul International, Inc. | Electronic entity records system |
US20030220804A1 (en) * | 2002-05-24 | 2003-11-27 | Sidney Wilson | System and method for reporting client data |
US9569797B1 (en) | 2002-05-30 | 2017-02-14 | Consumerinfo.Com, Inc. | Systems and methods of presenting simulated credit score information |
US9710852B1 (en) | 2002-05-30 | 2017-07-18 | Consumerinfo.Com, Inc. | Credit report timeline user interface |
US7899707B1 (en) | 2002-06-18 | 2011-03-01 | Ewinwin, Inc. | DAS predictive modeling and reporting function |
AU2003237586A1 (en) * | 2002-07-08 | 2004-01-23 | Consumer Data Technologies Ltd. | Confidential information sharing system |
US7689463B1 (en) | 2002-08-28 | 2010-03-30 | Ewinwin, Inc. | Multiple supplier system and method for transacting business |
US20040064404A1 (en) * | 2002-10-01 | 2004-04-01 | Menachem Cohen | Computer-based method for automatic remote coding of debtor credit databases with bankruptcy filing information |
US7240059B2 (en) * | 2002-11-14 | 2007-07-03 | Seisint, Inc. | System and method for configuring a parallel-processing database system |
US7293024B2 (en) * | 2002-11-14 | 2007-11-06 | Seisint, Inc. | Method for sorting and distributing data among a plurality of nodes |
US7945581B2 (en) * | 2002-11-14 | 2011-05-17 | Lexisnexis Risk Data Management, Inc. | Global-results processing matrix for processing queries |
US7185003B2 (en) * | 2002-11-14 | 2007-02-27 | Seisint, Inc. | Query scheduling in a parallel-processing database system |
US6968335B2 (en) | 2002-11-14 | 2005-11-22 | Sesint, Inc. | Method and system for parallel processing of database queries |
US8676843B2 (en) * | 2002-11-14 | 2014-03-18 | LexiNexis Risk Data Management Inc. | Failure recovery in a parallel-processing database system |
US8290840B2 (en) * | 2002-11-27 | 2012-10-16 | Consumerinfo.Com, Inc. | Method for determining insurance benefits and premiums from dynamic credit information |
US8290856B1 (en) * | 2002-11-27 | 2012-10-16 | Consumerinfo.Com, Inc. | Method for determining insurance benefits and premiums from credit information |
US7139734B2 (en) | 2002-12-04 | 2006-11-21 | Nathans Michael G | Preferred credit information data collection method |
US20040186807A1 (en) * | 2003-03-21 | 2004-09-23 | Nathans Michael G. | Credit data collection method and apparatus |
US20040128230A1 (en) | 2002-12-30 | 2004-07-01 | Fannie Mae | System and method for modifying attribute data pertaining to financial assets in a data processing system |
WO2004061561A2 (en) | 2002-12-30 | 2004-07-22 | Fannie Mae | System and method for facilitating delivery of a loan to a secondary mortgage market purchaser |
US7885889B2 (en) | 2002-12-30 | 2011-02-08 | Fannie Mae | System and method for processing data pertaining to financial assets |
AU2003297295A1 (en) | 2002-12-30 | 2004-07-29 | Fannie Mae | System and method of processing data pertaining to financial assets |
AU2003298688A1 (en) | 2002-12-30 | 2004-07-29 | Fannie Mae | System and method for pricing loans in the secondary mortgage market |
US8666879B1 (en) | 2002-12-30 | 2014-03-04 | Fannie Mae | Method and system for pricing forward commitments for mortgage loans and for buying committed loans |
AU2003297296A1 (en) | 2002-12-30 | 2004-07-29 | Fannie Mae | System and method for creating and tracking agreements for selling loans to a secondary market purchaser |
US7593889B2 (en) | 2002-12-30 | 2009-09-22 | Fannie Mae | System and method for processing data pertaining to financial assets |
WO2004061565A2 (en) | 2002-12-30 | 2004-07-22 | Fannie Mae | System and method for facilitating sale of a loan to a secondary market purchaser |
US7742981B2 (en) | 2002-12-30 | 2010-06-22 | Fannie Mae | Mortgage loan commitment system and method |
US7403942B1 (en) | 2003-02-04 | 2008-07-22 | Seisint, Inc. | Method and system for processing data records |
US7657540B1 (en) | 2003-02-04 | 2010-02-02 | Seisint, Inc. | Method and system for linking and delinking data records |
US7912842B1 (en) | 2003-02-04 | 2011-03-22 | Lexisnexis Risk Data Management Inc. | Method and system for processing and linking data records |
US7720846B1 (en) | 2003-02-04 | 2010-05-18 | Lexisnexis Risk Data Management, Inc. | System and method of using ghost identifiers in a database |
US20040158521A1 (en) * | 2003-02-06 | 2004-08-12 | First Data Corporation | Credit enhancement systems and methods |
US8032441B2 (en) * | 2003-03-03 | 2011-10-04 | Itg Software Solutions, Inc. | Managing security holdings risk during portfolio trading |
US7904365B2 (en) * | 2003-03-03 | 2011-03-08 | Itg Software Solutions, Inc. | Minimizing security holdings risk during portfolio trading |
US8117101B1 (en) | 2003-03-28 | 2012-02-14 | Innovis, Inc. | Database structure for a consumer reporting agency |
US8930263B1 (en) | 2003-05-30 | 2015-01-06 | Consumerinfo.Com, Inc. | Credit data analysis |
US8590785B1 (en) | 2004-06-15 | 2013-11-26 | Ewinwin, Inc. | Discounts in a mobile device |
US7364086B2 (en) | 2003-06-16 | 2008-04-29 | Ewinwin, Inc. | Dynamic discount card tied to price curves and group discounts |
US8046298B1 (en) | 2003-07-21 | 2011-10-25 | Fannie Mae | Systems and methods for facilitating the flow of capital through the housing finance industry |
US7668777B2 (en) | 2003-07-25 | 2010-02-23 | Jp Morgan Chase Bank | System and method for providing instant-decision, financial network-based payment cards |
US20050080718A1 (en) * | 2003-09-29 | 2005-04-14 | Wealthy Desai | Systems, methods and computer program products for providing customer sales information |
US7925579B1 (en) | 2003-12-01 | 2011-04-12 | Fannie Mae | System and method for processing a loan |
US8458073B2 (en) * | 2003-12-02 | 2013-06-04 | Dun & Bradstreet, Inc. | Enterprise risk assessment manager system |
US7756778B1 (en) | 2003-12-18 | 2010-07-13 | Fannie Mae | System and method for tracking and facilitating analysis of variance and recourse transactions |
US7822680B1 (en) | 2003-12-31 | 2010-10-26 | Fannie Mae | System and method for managing data pertaining to a plurality of financial assets for multifamily and housing developments |
US7657475B1 (en) | 2003-12-31 | 2010-02-02 | Fannie Mae | Property investment rating system and method |
US7904306B2 (en) | 2004-09-01 | 2011-03-08 | Search America, Inc. | Method and apparatus for assessing credit for healthcare patients |
US8732004B1 (en) | 2004-09-22 | 2014-05-20 | Experian Information Solutions, Inc. | Automated analysis of data to generate prospect notifications based on trigger events |
US7844518B1 (en) | 2004-11-30 | 2010-11-30 | Jp Morgan Chase Bank | Method and apparatus for managing credit limits |
WO2006069199A2 (en) * | 2004-12-20 | 2006-06-29 | Armorpoint, Inc. | Personal credit management and monitoring system and method |
WO2006076450A1 (en) | 2005-01-12 | 2006-07-20 | West Services, Inc. | Systems, methods, and interfaces for aggregating and providing information regarding legal professionals |
WO2006099492A2 (en) * | 2005-03-15 | 2006-09-21 | Bridgeforce, Inc. | Credit scoring method and system |
US20080033857A1 (en) * | 2005-04-25 | 2008-02-07 | Moses Manuel B | Pooling data for consumer credit or debit cards |
US20060277092A1 (en) * | 2005-06-03 | 2006-12-07 | Credigy Technologies, Inc. | System and method for a peer to peer exchange of consumer information |
US7801809B1 (en) | 2005-06-24 | 2010-09-21 | Fannie Mae | System and method for management of delegated real estate project reviews |
US8418254B2 (en) | 2005-07-25 | 2013-04-09 | Transunion Rental Screening Solutions, Inc. | Applicant screening |
US8234498B2 (en) * | 2005-07-25 | 2012-07-31 | Britti Michael A | Screening using a personal identification code |
US7925578B1 (en) | 2005-08-26 | 2011-04-12 | Jpmorgan Chase Bank, N.A. | Systems and methods for performing scoring optimization |
US20070083463A1 (en) * | 2005-09-20 | 2007-04-12 | Kraft Harold H | Fraud alert switch |
US20080033852A1 (en) * | 2005-10-24 | 2008-02-07 | Megdal Myles G | Computer-based modeling of spending behaviors of entities |
US20080243680A1 (en) * | 2005-10-24 | 2008-10-02 | Megdal Myles G | Method and apparatus for rating asset-backed securities |
US8560456B2 (en) * | 2005-12-02 | 2013-10-15 | Credigy Technologies, Inc. | System and method for an anonymous exchange of private data |
US20070162377A1 (en) * | 2005-12-23 | 2007-07-12 | Credigy Technologies, Inc. | System and method for an online exchange of private data |
US8489497B1 (en) | 2006-01-27 | 2013-07-16 | Jpmorgan Chase Bank, N.A. | Online interactive and partner-enhanced credit card |
US9996880B2 (en) * | 2006-02-28 | 2018-06-12 | Intersections, Inc. | Method and system for preventing and detecting identity theft |
US7711636B2 (en) | 2006-03-10 | 2010-05-04 | Experian Information Solutions, Inc. | Systems and methods for analyzing data |
US7747526B1 (en) | 2006-03-27 | 2010-06-29 | Fannie Mae | System and method for transferring mortgage loan servicing rights |
US20070288359A1 (en) * | 2006-04-18 | 2007-12-13 | Susan Amadio | Processing of credit applications |
US20070284956A1 (en) * | 2006-06-13 | 2007-12-13 | Garrett Petrovich | Assembly for generating energy by magnetic polar repulsion |
US8036979B1 (en) | 2006-10-05 | 2011-10-11 | Experian Information Solutions, Inc. | System and method for generating a finance attribute from tradeline data |
US20080215640A1 (en) * | 2007-03-01 | 2008-09-04 | Rent Bureau, Llc | Method of processing apartment tenant status information |
US7742982B2 (en) | 2007-04-12 | 2010-06-22 | Experian Marketing Solutions, Inc. | Systems and methods for determining thin-file records and determining thin-file risk levels |
US20100106586A1 (en) * | 2007-04-17 | 2010-04-29 | American Express Travel Related Services Company, Inc. | System and method for determining positive consumer behavior based upon structural risk |
WO2008133976A1 (en) * | 2007-04-27 | 2008-11-06 | Total System Services, Inc. | Method and system for automated skip tracing |
WO2008147918A2 (en) | 2007-05-25 | 2008-12-04 | Experian Information Solutions, Inc. | System and method for automated detection of never-pay data sets |
US7970676B2 (en) * | 2007-08-01 | 2011-06-28 | Fair Isaac Corporation | Method and system for modeling future action impact in credit scoring |
US8055671B2 (en) | 2007-08-29 | 2011-11-08 | Enpulz, Llc | Search engine using world map with whois database search restriction |
US8219533B2 (en) | 2007-08-29 | 2012-07-10 | Enpulz Llc | Search engine feedback for developing reliable whois database reference for restricted search operation |
US7856385B2 (en) * | 2007-09-07 | 2010-12-21 | National Default Exchange Lp | System and method for management and processing of bankruptcy claims and payments |
US9690820B1 (en) * | 2007-09-27 | 2017-06-27 | Experian Information Solutions, Inc. | Database system for triggering event notifications based on updates to database records |
US7653593B2 (en) | 2007-11-08 | 2010-01-26 | Equifax, Inc. | Macroeconomic-adjusted credit risk score systems and methods |
US8527405B1 (en) * | 2007-11-30 | 2013-09-03 | Jpmorgan Chase Bank, N.A. | Early payment rewards system and method |
US9990674B1 (en) | 2007-12-14 | 2018-06-05 | Consumerinfo.Com, Inc. | Card registry systems and methods |
US8762243B2 (en) * | 2007-12-26 | 2014-06-24 | Formfree Holdings Corporation | Systems and methods for electronic account certification and enhanced credit reporting |
US20090171756A1 (en) * | 2007-12-28 | 2009-07-02 | Shane De Zilwa | Modeling Responsible Consumer Balance Attrition Behavior |
US8027894B2 (en) * | 2007-12-28 | 2011-09-27 | Fair Isaac Corporation | Modeling responsible consumer debt consolidation behavior |
US8266168B2 (en) | 2008-04-24 | 2012-09-11 | Lexisnexis Risk & Information Analytics Group Inc. | Database systems and methods for linking records and entity representations with sufficiently high confidence |
US8190623B2 (en) | 2008-06-05 | 2012-05-29 | Enpulz, L.L.C. | Image search engine using image analysis and categorization |
US8229911B2 (en) | 2008-05-13 | 2012-07-24 | Enpulz, Llc | Network search engine utilizing client browser activity information |
US8180788B2 (en) | 2008-06-05 | 2012-05-15 | Enpulz, L.L.C. | Image search engine employing image correlation |
US8171041B2 (en) | 2008-05-15 | 2012-05-01 | Enpulz, L.L.C. | Support for international search terms |
US20090287471A1 (en) | 2008-05-16 | 2009-11-19 | Bennett James D | Support for international search terms - translate as you search |
US8250083B2 (en) | 2008-05-16 | 2012-08-21 | Enpulz, Llc | Support for international search terms—translate as you crawl |
US8478692B2 (en) | 2008-06-26 | 2013-07-02 | Visa International Service Association | Systems and methods for geographic location notifications of payment transactions |
US9542687B2 (en) | 2008-06-26 | 2017-01-10 | Visa International Service Association | Systems and methods for visual representation of offers |
US8661026B2 (en) | 2008-07-02 | 2014-02-25 | Lexisnexis Risk Solutions Fl Inc. | Entity representation identification using entity representation level information |
US7991689B1 (en) | 2008-07-23 | 2011-08-02 | Experian Information Solutions, Inc. | Systems and methods for detecting bust out fraud using credit data |
US8412593B1 (en) | 2008-10-07 | 2013-04-02 | LowerMyBills.com, Inc. | Credit card matching |
US8560161B1 (en) | 2008-10-23 | 2013-10-15 | Experian Information Solutions, Inc. | System and method for monitoring and predicting vehicle attributes |
US8060424B2 (en) | 2008-11-05 | 2011-11-15 | Consumerinfo.Com, Inc. | On-line method and system for monitoring and reporting unused available credit |
US20100174638A1 (en) | 2009-01-06 | 2010-07-08 | ConsumerInfo.com | Report existence monitoring |
US20100268639A1 (en) * | 2009-04-16 | 2010-10-21 | Feinstein Jeffrey A | Characterizing Creditworthiness Credit Score Migration |
US20110078072A1 (en) * | 2009-09-30 | 2011-03-31 | Ganjigunta Suresh | Verification and limits processing |
US20120072334A1 (en) * | 2009-11-04 | 2012-03-22 | Feinstein Jeffrey A | Responsibility analytics |
US9411859B2 (en) | 2009-12-14 | 2016-08-09 | Lexisnexis Risk Solutions Fl Inc | External linking based on hierarchical level weightings |
US8725613B1 (en) | 2010-04-27 | 2014-05-13 | Experian Information Solutions, Inc. | Systems and methods for early account score and notification |
US9189505B2 (en) | 2010-08-09 | 2015-11-17 | Lexisnexis Risk Data Management, Inc. | System of and method for entity representation splitting without the need for human interaction |
US8930262B1 (en) | 2010-11-02 | 2015-01-06 | Experian Technology Ltd. | Systems and methods of assisted strategy design |
EP2676197B1 (en) | 2011-02-18 | 2018-11-28 | CSidentity Corporation | System and methods for identifying compromised personally identifiable information on the internet |
US9483606B1 (en) | 2011-07-08 | 2016-11-01 | Consumerinfo.Com, Inc. | Lifescore |
US20130041798A1 (en) * | 2011-08-09 | 2013-02-14 | Kenneth Unger | Debt Collection Database |
US11030562B1 (en) | 2011-10-31 | 2021-06-08 | Consumerinfo.Com, Inc. | Pre-data breach monitoring |
US10055727B2 (en) * | 2012-11-05 | 2018-08-21 | Mfoundry, Inc. | Cloud-based systems and methods for providing consumer financial data |
US8856894B1 (en) | 2012-11-28 | 2014-10-07 | Consumerinfo.Com, Inc. | Always on authentication |
US9916621B1 (en) | 2012-11-30 | 2018-03-13 | Consumerinfo.Com, Inc. | Presentation of credit score factors |
US10102570B1 (en) | 2013-03-14 | 2018-10-16 | Consumerinfo.Com, Inc. | Account vulnerability alerts |
US9406085B1 (en) | 2013-03-14 | 2016-08-02 | Consumerinfo.Com, Inc. | System and methods for credit dispute processing, resolution, and reporting |
US8812387B1 (en) | 2013-03-14 | 2014-08-19 | Csidentity Corporation | System and method for identifying related credit inquiries |
US10664936B2 (en) | 2013-03-15 | 2020-05-26 | Csidentity Corporation | Authentication systems and methods for on-demand products |
US9633322B1 (en) | 2013-03-15 | 2017-04-25 | Consumerinfo.Com, Inc. | Adjustment of knowledge-based authentication |
US9721147B1 (en) | 2013-05-23 | 2017-08-01 | Consumerinfo.Com, Inc. | Digital identity |
US9443268B1 (en) | 2013-08-16 | 2016-09-13 | Consumerinfo.Com, Inc. | Bill payment and reporting |
US10325314B1 (en) | 2013-11-15 | 2019-06-18 | Consumerinfo.Com, Inc. | Payment reporting systems |
US9477737B1 (en) | 2013-11-20 | 2016-10-25 | Consumerinfo.Com, Inc. | Systems and user interfaces for dynamic access of multiple remote databases and synchronization of data based on user rules |
US9529851B1 (en) | 2013-12-02 | 2016-12-27 | Experian Information Solutions, Inc. | Server architecture for electronic data quality processing |
USD760256S1 (en) | 2014-03-25 | 2016-06-28 | Consumerinfo.Com, Inc. | Display screen or portion thereof with graphical user interface |
USD759689S1 (en) | 2014-03-25 | 2016-06-21 | Consumerinfo.Com, Inc. | Display screen or portion thereof with graphical user interface |
USD759690S1 (en) | 2014-03-25 | 2016-06-21 | Consumerinfo.Com, Inc. | Display screen or portion thereof with graphical user interface |
US9892457B1 (en) | 2014-04-16 | 2018-02-13 | Consumerinfo.Com, Inc. | Providing credit data in search results |
US10373240B1 (en) | 2014-04-25 | 2019-08-06 | Csidentity Corporation | Systems, methods and computer-program products for eligibility verification |
US10339527B1 (en) | 2014-10-31 | 2019-07-02 | Experian Information Solutions, Inc. | System and architecture for electronic fraud detection |
US10242019B1 (en) | 2014-12-19 | 2019-03-26 | Experian Information Solutions, Inc. | User behavior segmentation using latent topic detection |
US11151468B1 (en) | 2015-07-02 | 2021-10-19 | Experian Information Solutions, Inc. | Behavior analysis using distributed representations of event data |
US11410230B1 (en) | 2015-11-17 | 2022-08-09 | Consumerinfo.Com, Inc. | Realtime access and control of secure regulated data |
US10757154B1 (en) | 2015-11-24 | 2020-08-25 | Experian Information Solutions, Inc. | Real-time event-based notification system |
US11227001B2 (en) | 2017-01-31 | 2022-01-18 | Experian Information Solutions, Inc. | Massive scale heterogeneous data ingestion and user resolution |
US10735183B1 (en) | 2017-06-30 | 2020-08-04 | Experian Information Solutions, Inc. | Symmetric encryption for private smart contracts among multiple parties in a private peer-to-peer network |
US10699028B1 (en) | 2017-09-28 | 2020-06-30 | Csidentity Corporation | Identity security architecture systems and methods |
US10896472B1 (en) | 2017-11-14 | 2021-01-19 | Csidentity Corporation | Security and identity verification system and architecture |
US10911234B2 (en) | 2018-06-22 | 2021-02-02 | Experian Information Solutions, Inc. | System and method for a token gateway environment |
US10963434B1 (en) | 2018-09-07 | 2021-03-30 | Experian Information Solutions, Inc. | Data architecture for supporting multiple search models |
US11315179B1 (en) | 2018-11-16 | 2022-04-26 | Consumerinfo.Com, Inc. | Methods and apparatuses for customized card recommendations |
US11620403B2 (en) | 2019-01-11 | 2023-04-04 | Experian Information Solutions, Inc. | Systems and methods for secure data aggregation and computation |
US11238656B1 (en) | 2019-02-22 | 2022-02-01 | Consumerinfo.Com, Inc. | System and method for an augmented reality experience via an artificial intelligence bot |
US11941065B1 (en) | 2019-09-13 | 2024-03-26 | Experian Information Solutions, Inc. | Single identifier platform for storing entity data |
US11880377B1 (en) | 2021-03-26 | 2024-01-23 | Experian Information Solutions, Inc. | Systems and methods for entity resolution |
Family Cites Families (24)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5025138A (en) * | 1984-02-27 | 1991-06-18 | Vincent Cuervo | Method and system for providing verifiable line of credit information |
US4727243A (en) | 1984-10-24 | 1988-02-23 | Telenet Communications Corporation | Financial transaction system |
US5065311A (en) | 1987-04-20 | 1991-11-12 | Hitachi, Ltd. | Distributed data base system of composite subsystem type, and method fault recovery for the system |
US5148432A (en) | 1988-11-14 | 1992-09-15 | Array Technology Corporation | Arrayed disk drive system and method |
US5133075A (en) | 1988-12-19 | 1992-07-21 | Hewlett-Packard Company | Method of monitoring changes in attribute values of object in an object-oriented database |
US5307481A (en) | 1990-02-28 | 1994-04-26 | Hitachi, Ltd. | Highly reliable online system |
US5274547A (en) * | 1991-01-03 | 1993-12-28 | Credco Of Washington, Inc. | System for generating and transmitting credit reports |
US5592664A (en) | 1991-07-29 | 1997-01-07 | Borland International Inc. | Database server system with methods for alerting clients of occurrence of database server events of interest to the clients |
US5237658A (en) | 1991-10-01 | 1993-08-17 | Tandem Computers Incorporated | Linear and orthogonal expansion of array storage in multiprocessor computing systems |
US5379417A (en) | 1991-11-25 | 1995-01-03 | Tandem Computers Incorporated | System and method for ensuring write data integrity in a redundant array data storage system |
US5446885A (en) | 1992-05-15 | 1995-08-29 | International Business Machines Corporation | Event driven management information system with rule-based applications structure stored in a relational database |
US5437024A (en) | 1992-07-06 | 1995-07-25 | French; Donald H. | Selective computer-generated information distribution system by computer peripheral emulation and use |
US5805881A (en) * | 1992-11-04 | 1998-09-08 | Casio Computer Co., Ltd. | Method and apparatus for generating arbitrary output records in response to output designation of records |
US5408649A (en) | 1993-04-30 | 1995-04-18 | Quotron Systems, Inc. | Distributed data access system including a plurality of database access processors with one-for-N redundancy |
US5491817A (en) | 1993-05-25 | 1996-02-13 | Bell Communications Research Inc. | Linking system and method for accessing directory information about an object in one context when information in another context is known |
US5611052A (en) | 1993-11-01 | 1997-03-11 | The Golden 1 Credit Union | Lender direct credit evaluation and loan processing system |
US5732400A (en) * | 1995-01-04 | 1998-03-24 | Citibank N.A. | System and method for a risk-based purchase of goods |
US5689705A (en) | 1995-02-13 | 1997-11-18 | Pulte Home Corporation | System for facilitating home construction and sales |
WO1996025717A1 (en) * | 1995-02-14 | 1996-08-22 | Business Matters Incorporated | Computer based financial planning system |
US5564047A (en) | 1995-04-11 | 1996-10-08 | International Business Machines Corporation | Trigger generation in an active database management system |
US5774883A (en) | 1995-05-25 | 1998-06-30 | Andersen; Lloyd R. | Method for selecting a seller's most profitable financing program |
US5878403A (en) * | 1995-09-12 | 1999-03-02 | Cmsi | Computer implemented automated credit application analysis and decision routing system |
US5774994A (en) * | 1996-07-29 | 1998-07-07 | Ekco Housewares, Inc. | Collapsible barbecue tools |
US20040199456A1 (en) * | 2000-08-01 | 2004-10-07 | Andrew Flint | Method and apparatus for explaining credit scores |
-
1998
- 1998-06-11 US US09/095,779 patent/US6311169B2/en not_active Expired - Lifetime
-
2001
- 2001-09-19 US US09/957,214 patent/US7584146B1/en not_active Expired - Fee Related
Cited By (355)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20080270294A1 (en) * | 1998-11-03 | 2008-10-30 | Lent Jeremy R | Method and Apparatus for a Verifiable On Line Rejection of an Applicant for Credit |
US8010422B1 (en) | 1998-11-03 | 2011-08-30 | Nextcard, Llc | On-line balance transfers |
US7756781B2 (en) | 1998-11-03 | 2010-07-13 | Nextcard, Llc | Method and apparatus for a verifiable on line rejection of an applicant for credit |
US20130159168A1 (en) * | 1999-03-12 | 2013-06-20 | Scott L. Evans | System and Method for Debt Presentment and Resolution |
US20130179318A1 (en) * | 1999-03-12 | 2013-07-11 | Scott L. Evans | System and Method for Debt Presentment and Resolution |
US9659326B2 (en) | 1999-03-12 | 2017-05-23 | Collections Marketing Center, Inc. | System and method for debt presentment and resolution |
US7133935B2 (en) * | 1999-10-19 | 2006-11-07 | Shad Hedy | System and method for real-time electronic inquiry, delivery, and reporting of credit information |
US20040133521A1 (en) * | 1999-10-19 | 2004-07-08 | Shad Hedy | System and method for real-time electronic inquiry, delivery, and reporting of credit information |
US7720750B2 (en) | 1999-12-15 | 2010-05-18 | Equifax, Inc. | Systems and methods for providing consumers anonymous pre-approved offers from a consumer-selected group of merchants |
US20020077964A1 (en) * | 1999-12-15 | 2002-06-20 | Brody Robert M. | Systems and methods for providing consumers anonymous pre-approved offers from a consumer-selected group of merchants |
US20070299771A1 (en) * | 1999-12-15 | 2007-12-27 | Brody Robert M | Systems and methods for providing consumers anonymous pre-approved offers from a consumer-selected group or merchants |
US7080035B1 (en) * | 2000-03-20 | 2006-07-18 | Bellsouth Intellectual Property Corp. | System and method for notifying an electronic billing vendor of a customer status change |
US9866564B2 (en) | 2000-04-11 | 2018-01-09 | Xylon Llc | System, method and computer program product for gathering and delivering personalized user information |
US7725523B2 (en) * | 2000-04-11 | 2010-05-25 | Bolnick David A | System, method and computer program product for gathering and delivering personalized user information |
US20020023230A1 (en) * | 2000-04-11 | 2002-02-21 | Bolnick David A. | System, method and computer program product for gathering and delivering personalized user information |
US20100299388A1 (en) * | 2000-04-11 | 2010-11-25 | Bolnick David A | System, method and computer program product for gathering and delivering personalized user information |
US10469502B2 (en) | 2000-04-11 | 2019-11-05 | Xylon Llc | System, method and computer program product for gathering and delivering personalized user information |
US8868641B2 (en) | 2000-04-11 | 2014-10-21 | Onederland Technology Llc | System, method and computer program product for gathering and delivering personalized user information |
US20020042763A1 (en) * | 2000-06-16 | 2002-04-11 | Ranjini Pillay | Apparatus and method for providing trade credit information and/or trade credit insurance information |
US8321952B2 (en) | 2000-06-30 | 2012-11-27 | Hitwise Pty. Ltd. | Method and system for monitoring online computer network behavior and creating online behavior profiles |
US6947873B2 (en) * | 2000-08-28 | 2005-09-20 | Toshiba Engineering Corporation | Method and apparatus for generating measurement data |
US20020026293A1 (en) * | 2000-08-28 | 2002-02-28 | Toshiba Engineering Corporation | Method and apparatus for generating measurement data |
US9819561B2 (en) | 2000-10-26 | 2017-11-14 | Liveperson, Inc. | System and methods for facilitating object assignments |
US10797976B2 (en) | 2000-10-26 | 2020-10-06 | Liveperson, Inc. | System and methods for facilitating object assignments |
US8868448B2 (en) | 2000-10-26 | 2014-10-21 | Liveperson, Inc. | Systems and methods to facilitate selling of products and services |
US9576292B2 (en) | 2000-10-26 | 2017-02-21 | Liveperson, Inc. | Systems and methods to facilitate selling of products and services |
US7991688B2 (en) * | 2000-11-14 | 2011-08-02 | Knowledge Works Inc. | Methods and apparatus for automatically exchanging credit information |
US20020072927A1 (en) * | 2000-11-14 | 2002-06-13 | William Phelan | Methods and apparatus for automatically exchanging credit information |
US20020087460A1 (en) * | 2001-01-04 | 2002-07-04 | Hornung Katharine A. | Method for identity theft protection |
US20020120560A1 (en) * | 2001-02-26 | 2002-08-29 | Morgan Richard L. | System for pricing a payment protection product and method of operation thereof |
US8577770B2 (en) | 2001-03-01 | 2013-11-05 | Jpmorgan Chase, N.A. | System and method for measuring and utilizing pooling analytics |
US8255307B1 (en) * | 2001-03-01 | 2012-08-28 | Jpmorgan Chase Bank, N.A. | System and method for measuring and utilizing pooling analytics |
US7552080B1 (en) | 2001-03-09 | 2009-06-23 | Nextcard, Llc | Customized credit offer strategy based on terms specified by an applicant |
US20060200396A1 (en) * | 2001-05-10 | 2006-09-07 | Satterfield Markus R | Systems and methods for notifying a consumer of changes made to a credit report |
US7542993B2 (en) * | 2001-05-10 | 2009-06-02 | Equifax, Inc. | Systems and methods for notifying a consumer of changes made to a credit report |
US7028052B2 (en) * | 2001-05-10 | 2006-04-11 | Equifax, Inc. | Systems and methods for notifying a consumer of changes made to a credit report |
US8280761B1 (en) * | 2001-06-15 | 2012-10-02 | West Corporation | Method of facilitating contact between a consumer and a requesting entity |
US8645197B1 (en) * | 2001-06-15 | 2014-02-04 | West Corporation | Method of facilitating contact between a consumer and a requesting entity |
US8463919B2 (en) | 2001-09-20 | 2013-06-11 | Hitwise Pty. Ltd | Process for associating data requests with site visits |
EP1464018A1 (en) * | 2001-10-29 | 2004-10-06 | Equifax, Inc. | System and method for facilitating reciprocative small business financial information exchanges |
US20030083893A1 (en) * | 2001-10-29 | 2003-05-01 | Aliffi Patrick A. | System and method for facilitating reciprocative small business financial information exchanges |
US8996416B2 (en) | 2002-01-22 | 2015-03-31 | Lavante, Inc. | OCR enabled management of accounts payable and/or accounts receivable auditing data |
US7908188B2 (en) * | 2002-01-22 | 2011-03-15 | Lavante, Inc. | Method and system of managing accounts payable auditing data |
US20030149645A1 (en) * | 2002-01-22 | 2003-08-07 | Flynn Joseph A. | Method and system of managing accounts payable auditing data |
US20030154162A1 (en) * | 2002-02-11 | 2003-08-14 | Danaher John Thomas | Credit report retrieval system including voice-based interface |
US20040039586A1 (en) * | 2002-03-13 | 2004-02-26 | Garvey Michael A. | Method and apparatus for monitoring events concerning record subjects on behalf of third parties |
US8335741B2 (en) | 2002-05-30 | 2012-12-18 | Experian Information Solutions, Inc. | System and method for interactively simulating a credit-worthiness score |
US8015107B2 (en) | 2002-05-30 | 2011-09-06 | Experian Information Solutions, Inc. | System and method for interactively simulating a credit-worthiness score |
US9058627B1 (en) | 2002-05-30 | 2015-06-16 | Consumerinfo.Com, Inc. | Circular rotational interface for display of consumer credit information |
US20030225729A1 (en) * | 2002-05-31 | 2003-12-04 | American Express Travel Related Services Company, Inc. | System and method for facilitating information collection, storage, and distribution |
US20100005027A1 (en) * | 2002-05-31 | 2010-01-07 | American Express Travel Related Services Company, Inc. | System and method for assessing risk |
US8090734B2 (en) | 2002-05-31 | 2012-01-03 | American Express Travel Related Services Company, Inc. | System and method for assessing risk |
US7610261B2 (en) | 2002-05-31 | 2009-10-27 | American Express Travel Related Services Company, Inc. | System and method for acquisition, assimilation and storage of information |
US20080065651A1 (en) * | 2002-05-31 | 2008-03-13 | American Express Travel Related Services Company, Inc. | System and method for acquisition, assimilation and storage of information |
US20030231750A1 (en) * | 2002-06-14 | 2003-12-18 | Karn Janveja | Skip tracing system |
US7257206B2 (en) * | 2002-06-14 | 2007-08-14 | General Electric Capital Corporation | Skip tracing system |
US20170200223A1 (en) * | 2002-09-21 | 2017-07-13 | Consumerinfo.Com, Inc. | Systems and methods of on-line credit information monitoring and control |
US20050004870A1 (en) * | 2002-10-01 | 2005-01-06 | Mcgaughey Richard D. | Methods and apparatus for sharing revenue associated with negative collection information |
US20080027859A1 (en) * | 2002-12-04 | 2008-01-31 | Pay Rent, Build Credit, Inc. | Preferred credit information data collection method |
US20070226093A1 (en) * | 2002-12-20 | 2007-09-27 | Chan Cynthia M | Financial services data model |
US8538840B2 (en) * | 2002-12-20 | 2013-09-17 | Siebel Systems, Inc. | Financial services data model |
US20070250408A1 (en) * | 2002-12-20 | 2007-10-25 | Leon Maria T B | Data model for business relationships |
US7856454B2 (en) | 2002-12-20 | 2010-12-21 | Siebel Systems, Inc. | Data model for business relationships |
US8473399B2 (en) | 2003-03-04 | 2013-06-25 | Siebel Systems, Inc. | Invoice data object for a common data object format |
US8392298B2 (en) | 2003-03-04 | 2013-03-05 | Siebel Systems, Inc. | Invoice adjustment data object for a common data object format |
US8781953B2 (en) | 2003-03-21 | 2014-07-15 | Consumerinfo.Com, Inc. | Card management system and method |
US8200539B2 (en) | 2003-03-24 | 2012-06-12 | Siebel Systems, Inc. | Product common object |
US20070214063A1 (en) * | 2003-03-24 | 2007-09-13 | Paramjit Kahlon | Inventory balance common object |
US7912932B2 (en) | 2003-03-24 | 2011-03-22 | Siebel Systems, Inc. | Service request common object |
US20040199536A1 (en) * | 2003-03-24 | 2004-10-07 | Barnes Leon Maria Theresa | Product common object |
US20070208577A1 (en) * | 2003-03-24 | 2007-09-06 | Leon Maria T B | Position common object |
US20070214065A1 (en) * | 2003-03-24 | 2007-09-13 | Paramjit Kahlon | Inventory transaction common object |
US20070214064A1 (en) * | 2003-03-24 | 2007-09-13 | Paramjit Kahlon | Inventory location common object |
US9704120B2 (en) | 2003-03-24 | 2017-07-11 | Oracle International Corporation | Inventory balance common object |
US8489470B2 (en) | 2003-03-24 | 2013-07-16 | Siebel Systems, Inc. | Inventory location common object |
US8510179B2 (en) | 2003-03-24 | 2013-08-13 | Siebel Systems, Inc. | Inventory transaction common object |
US7904340B2 (en) | 2003-03-24 | 2011-03-08 | Siebel Systems, Inc. | Methods and computer-readable medium for defining a product model |
US20060271446A1 (en) * | 2003-03-24 | 2006-11-30 | Siebel Systems, Inc. | Product common object |
US20070208878A1 (en) * | 2003-03-24 | 2007-09-06 | Barnes-Leon Maria T | Service request common object |
US20070226037A1 (en) * | 2003-03-25 | 2007-09-27 | Shailendra Garg | Modeling of opportunity data |
US20040199458A1 (en) * | 2003-04-07 | 2004-10-07 | Thinh Ho | System and method for on-line mortgage services |
US10521857B1 (en) | 2003-05-12 | 2019-12-31 | Symantec Corporation | System and method for identity-based fraud detection |
US7686214B1 (en) | 2003-05-12 | 2010-03-30 | Id Analytics, Inc. | System and method for identity-based fraud detection using a plurality of historical identity records |
US7562814B1 (en) | 2003-05-12 | 2009-07-21 | Id Analytics, Inc. | System and method for identity-based fraud detection through graph anomaly detection |
US8386377B1 (en) | 2003-05-12 | 2013-02-26 | Id Analytics, Inc. | System and method for credit scoring using an identity network connectivity |
US7793835B1 (en) | 2003-05-12 | 2010-09-14 | Id Analytics, Inc. | System and method for identity-based fraud detection for transactions using a plurality of historical identity records |
US8589286B1 (en) | 2003-05-30 | 2013-11-19 | Experian Information Solutions, Inc. | Credit score simulation |
US8321334B1 (en) | 2003-05-30 | 2012-11-27 | Experian Information Solutions, Inc. | Credit score simulation |
US20050206943A1 (en) * | 2004-03-22 | 2005-09-22 | Fuji Photo Film Co., Ltd. | Print order receiving method and apparatus and printing system |
US20070208578A1 (en) * | 2004-05-21 | 2007-09-06 | Caroline Muralitharan | Modeling of job profile data |
US8112296B2 (en) | 2004-05-21 | 2012-02-07 | Siebel Systems, Inc. | Modeling of job profile data |
US20070226049A1 (en) * | 2004-05-21 | 2007-09-27 | Caroline Muralitharan | Modeling of employee performance result data |
US7865390B2 (en) | 2004-05-21 | 2011-01-04 | Siebel Systems, Inc. | Modeling of employee performance result data |
US20050261926A1 (en) * | 2004-05-24 | 2005-11-24 | Hartridge Andrew J | System and method for quantifying and communicating a quality of a subject entity between entities |
US7822665B2 (en) | 2004-10-29 | 2010-10-26 | American Express Travel Related Services Company, Inc. | Using commercial share of wallet in private equity investments |
US7610243B2 (en) | 2004-10-29 | 2009-10-27 | American Express Travel Related Services Company, Inc. | Method and apparatus for rating asset-backed securities |
US7844534B2 (en) | 2004-10-29 | 2010-11-30 | American Express Travel Related Services Company, Inc. | Using commercial share of wallet to rate investments |
US20100312717A1 (en) * | 2004-10-29 | 2010-12-09 | American Express Travel Related Services Company Inc. | Using Commercial Share of Wallet in Private Equity Investments |
US7840484B2 (en) * | 2004-10-29 | 2010-11-23 | American Express Travel Related Services Company, Inc. | Credit score and scorecard development |
US8788388B2 (en) | 2004-10-29 | 2014-07-22 | American Express Travel Related Services Company, Inc. | Using commercial share of wallet to rate business prospects |
US8781933B2 (en) | 2004-10-29 | 2014-07-15 | American Express Travel Related Services Company, Inc. | Determining commercial share of wallet |
US20070168246A1 (en) * | 2004-10-29 | 2007-07-19 | American Express Marketing & Development Corp., a New York Corporation | Reducing Risks Related to Check Verification |
US7890420B2 (en) | 2004-10-29 | 2011-02-15 | American Express Travel Related Services Company, Inc. | Method and apparatus for development and use of a credit score based on spend capacity |
US8775301B2 (en) | 2004-10-29 | 2014-07-08 | American Express Travel Related Services Company, Inc. | Reducing risks related to check verification |
US20100274739A1 (en) * | 2004-10-29 | 2010-10-28 | American Express Travel Related Services Company Inc. | Using Commercial Share of Wallet To Rate Investments |
US7912770B2 (en) | 2004-10-29 | 2011-03-22 | American Express Travel Related Services Company, Inc. | Method and apparatus for consumer interaction based on spend capacity |
US8543499B2 (en) | 2004-10-29 | 2013-09-24 | American Express Travel Related Services Company, Inc. | Reducing risks related to check verification |
US20070100719A1 (en) * | 2004-10-29 | 2007-05-03 | American Express Travel Related Services Company, Inc. | Estimating the Spend Capacity of Consumer Households |
US20070067206A1 (en) * | 2004-10-29 | 2007-03-22 | American Express Travel Related Services Company, Inc. | Using commercial share of wallet to compile marketing company lists |
US20110145122A1 (en) * | 2004-10-29 | 2011-06-16 | American Express Travel Related Services Company, Inc. | Method and apparatus for consumer interaction based on spend capacity |
US7991666B2 (en) | 2004-10-29 | 2011-08-02 | American Express Travel Related Services Company, Inc. | Method and apparatus for estimating the spend capacity of consumers |
US7814004B2 (en) | 2004-10-29 | 2010-10-12 | American Express Travel Related Services Company, Inc. | Method and apparatus for development and use of a credit score based on spend capacity |
US7991677B2 (en) | 2004-10-29 | 2011-08-02 | American Express Travel Related Services Company, Inc. | Using commercial share of wallet to rate investments |
US20100223168A1 (en) * | 2004-10-29 | 2010-09-02 | American Express Travel Related Services Company, Inc. | Method and appraratus for development and use of a credit score based on spend capacity |
US7788152B2 (en) | 2004-10-29 | 2010-08-31 | American Express Travel Related Services Company, Inc. | Method and apparatus for estimating the spend capacity of consumers |
US8024245B2 (en) | 2004-10-29 | 2011-09-20 | American Express Travel Related Services Company, Inc. | Using commercial share of wallet in private equity investments |
US8073752B2 (en) | 2004-10-29 | 2011-12-06 | American Express Travel Related Services Company, Inc. | Using commercial share of wallet to rate business prospects |
US8073768B2 (en) | 2004-10-29 | 2011-12-06 | American Express Travel Related Services Company, Inc. | Credit score and scorecard development |
US8086509B2 (en) | 2004-10-29 | 2011-12-27 | American Express Travel Related Services Company, Inc. | Determining commercial share of wallet |
US7788147B2 (en) | 2004-10-29 | 2010-08-31 | American Express Travel Related Services Company, Inc. | Method and apparatus for estimating the spend capacity of consumers |
US8630929B2 (en) | 2004-10-29 | 2014-01-14 | American Express Travel Related Services Company, Inc. | Using commercial share of wallet to make lending decisions |
US8121918B2 (en) | 2004-10-29 | 2012-02-21 | American Express Travel Related Services Company, Inc. | Using commercial share of wallet to manage vendors |
US8131614B2 (en) | 2004-10-29 | 2012-03-06 | American Express Travel Related Services Company, Inc. | Using commercial share of wallet to compile marketing company lists |
US8131639B2 (en) | 2004-10-29 | 2012-03-06 | American Express Travel Related Services, Inc. | Method and apparatus for estimating the spend capacity of consumers |
US20060242047A1 (en) * | 2004-10-29 | 2006-10-26 | American Express Travel Related Services Company, Inc., A New York Corporation | Method and apparatus for rating asset-backed securities |
US20070067209A1 (en) * | 2004-10-29 | 2007-03-22 | American Express Travel Related Services Company, Inc. | Determining commercial share of wallet |
US8204774B2 (en) | 2004-10-29 | 2012-06-19 | American Express Travel Related Services Company, Inc. | Estimating the spend capacity of consumer households |
US8775290B2 (en) | 2004-10-29 | 2014-07-08 | American Express Travel Related Services Company, Inc. | Using commercial share of wallet to rate investments |
US10360575B2 (en) | 2004-10-29 | 2019-07-23 | American Express Travel Related Services Company, Inc. | Consumer household spend capacity |
US20070226114A1 (en) * | 2004-10-29 | 2007-09-27 | American Express Travel Related Services Co., Inc., A New York Corporation | Using commercial share of wallet to manage investments |
US20070192165A1 (en) * | 2004-10-29 | 2007-08-16 | American Express Travel Related Services Company, Inc. | Using commercial share of wallet in financial databases |
US8296213B2 (en) | 2004-10-29 | 2012-10-23 | American Express Travel Related Services Company, Inc. | Using commercial share of wallet to rate investments |
US20070078741A1 (en) * | 2004-10-29 | 2007-04-05 | American Express Travel Related Services Company, Inc. | Using commercial share of wallet in private equity investments |
US8682770B2 (en) | 2004-10-29 | 2014-03-25 | American Express Travel Related Services Company, Inc. | Using commercial share of wallet in private equity investments |
US20090144160A1 (en) * | 2004-10-29 | 2009-06-04 | American Express Travel Related Services Company, Inc. | Method and Apparatus for Estimating the Spend Capacity of Consumers |
US8326671B2 (en) | 2004-10-29 | 2012-12-04 | American Express Travel Related Services Company, Inc. | Using commercial share of wallet to analyze vendors in online marketplaces |
US8326672B2 (en) | 2004-10-29 | 2012-12-04 | American Express Travel Related Services Company, Inc. | Using commercial share of wallet in financial databases |
US20090144185A1 (en) * | 2004-10-29 | 2009-06-04 | American Express Travel Related Services Company, Inc. | Method and Apparatus for Estimating the Spend Capacity of Consumers |
US20070067207A1 (en) * | 2004-10-29 | 2007-03-22 | American Express Travel Related Services Company, Inc. | Using commercial share of wallet to analyze vendors in online marketplaces |
US20060242048A1 (en) * | 2004-10-29 | 2006-10-26 | American Express Travel Related Services Company, Inc. | Method and apparatus for determining credit characteristics of a consumer |
US8694403B2 (en) | 2004-10-29 | 2014-04-08 | American Express Travel Related Services Company, Inc. | Using commercial share of wallet to rate investments |
US8744944B2 (en) | 2004-10-29 | 2014-06-03 | American Express Travel Related Services Company, Inc. | Using commercial share of wallet to make lending decisions |
US20060242050A1 (en) * | 2004-10-29 | 2006-10-26 | American Express Travel Related Services Company, Inc. | Method and apparatus for targeting best customers based on spend capacity |
US20060242051A1 (en) * | 2004-10-29 | 2006-10-26 | American Express Travel Related Services Company, Inc. | Method and apparatus for development and use of a credit score based on spend capacity |
US20080195444A1 (en) * | 2004-10-29 | 2008-08-14 | American Express Travel Related Services Co., Inc. A New York Corporation | Using Commercial Share of Wallet to Rate Business Prospects |
US20080195425A1 (en) * | 2004-10-29 | 2008-08-14 | American Express Travel Related Services Co., Inc., A New York Corporation | Using Commercial Share of Wallet to Determine Insurance Risk |
US20060242049A1 (en) * | 2004-10-29 | 2006-10-26 | American Express Travel Related Services Company, Inc. | Credit score and scorecard development |
US9754271B2 (en) | 2004-10-29 | 2017-09-05 | American Express Travel Related Services Company, Inc. | Estimating the spend capacity of consumer households |
US20060242039A1 (en) * | 2004-10-29 | 2006-10-26 | Haggerty Kathleen B | Method and apparatus for estimating the spend capacity of consumers |
US20080195445A1 (en) * | 2004-10-29 | 2008-08-14 | American Express Travel Related Services Co., Inc. A New York Corporation | Using Commercial Share of Wallet to Manage Vendors |
US20060149674A1 (en) * | 2004-12-30 | 2006-07-06 | Mike Cook | System and method for identity-based fraud detection for transactions using a plurality of historical identity records |
US8175889B1 (en) | 2005-04-06 | 2012-05-08 | Experian Information Solutions, Inc. | Systems and methods for tracking changes of address based on service disconnect/connect data |
US20070162464A1 (en) * | 2005-09-07 | 2007-07-12 | Rieffanaugh Neal K Jr | Verified personal credit search system and method thereof |
US9432468B2 (en) | 2005-09-14 | 2016-08-30 | Liveperson, Inc. | System and method for design and dynamic generation of a web page |
US11526253B2 (en) | 2005-09-14 | 2022-12-13 | Liveperson, Inc. | System and method for design and dynamic generation of a web page |
US10191622B2 (en) | 2005-09-14 | 2019-01-29 | Liveperson, Inc. | System and method for design and dynamic generation of a web page |
US11394670B2 (en) | 2005-09-14 | 2022-07-19 | Liveperson, Inc. | System and method for performing follow up based on user interactions |
US8738732B2 (en) | 2005-09-14 | 2014-05-27 | Liveperson, Inc. | System and method for performing follow up based on user interactions |
US9590930B2 (en) | 2005-09-14 | 2017-03-07 | Liveperson, Inc. | System and method for performing follow up based on user interactions |
US9948582B2 (en) | 2005-09-14 | 2018-04-17 | Liveperson, Inc. | System and method for performing follow up based on user interactions |
US11743214B2 (en) | 2005-09-14 | 2023-08-29 | Liveperson, Inc. | System and method for performing follow up based on user interactions |
US9525745B2 (en) | 2005-09-14 | 2016-12-20 | Liveperson, Inc. | System and method for performing follow up based on user interactions |
US20150066623A1 (en) * | 2005-10-25 | 2015-03-05 | Capital One Financial Corporation | Systems and methods for providing flexible incentive rewards |
US20070238891A1 (en) * | 2006-02-16 | 2007-10-11 | Winsness David J | Method of freeing the bound oil present in whole stillage and thin stillage |
US8392334B2 (en) | 2006-08-17 | 2013-03-05 | Experian Information Solutions, Inc. | System and method for providing a score for a used vehicle |
US10380654B2 (en) | 2006-08-17 | 2019-08-13 | Experian Information Solutions, Inc. | System and method for providing a score for a used vehicle |
US11257126B2 (en) | 2006-08-17 | 2022-02-22 | Experian Information Solutions, Inc. | System and method for providing a score for a used vehicle |
US20080110973A1 (en) * | 2006-08-30 | 2008-05-15 | Nathans Michael G | System and method of credit data collection and verification |
US8799148B2 (en) | 2006-08-31 | 2014-08-05 | Rohan K. K. Chandran | Systems and methods of ranking a plurality of credit card offers |
US11887175B2 (en) | 2006-08-31 | 2024-01-30 | Cpl Assets, Llc | Automatically determining a personalized set of programs or products including an interactive graphical user interface |
US8713190B1 (en) * | 2006-09-08 | 2014-04-29 | At&T Intellectual Property Ii, L.P. | Method and apparatus for performing real time anomaly detection |
US8660941B2 (en) | 2006-09-26 | 2014-02-25 | Collections Marketing Center, Inc. | Method and system for providing a multi-channel virtual collections center |
US20080077525A1 (en) * | 2006-09-26 | 2008-03-27 | Bridgeforce, Inc. | Method and system for providing a multi-channel virtual collections center |
US20080086759A1 (en) * | 2006-10-10 | 2008-04-10 | Colson Christen J | Verification and authentication systems and methods |
US8793777B2 (en) | 2006-10-10 | 2014-07-29 | Equifax, Inc. | Verification and authentication systems and methods |
US8239677B2 (en) | 2006-10-10 | 2012-08-07 | Equifax Inc. | Verification and authentication systems and methods |
US20080091818A1 (en) * | 2006-10-11 | 2008-04-17 | Rmb World Enterprises, Llc | System And Method Of Employing Web Services Applications To Obtain Real-Time Information From Distributed Sources |
US8615458B2 (en) | 2006-12-01 | 2013-12-24 | American Express Travel Related Services Company, Inc. | Industry size of wallet |
US20080154758A1 (en) * | 2006-12-21 | 2008-06-26 | Friedrich Schattmaier | Systems and methods for maintaining credit information about an entity |
US10692105B1 (en) * | 2007-01-31 | 2020-06-23 | Experian Information Solutions, Inc. | Systems and methods for providing a direct marketing campaign planning environment |
US9916596B1 (en) * | 2007-01-31 | 2018-03-13 | Experian Information Solutions, Inc. | Systems and methods for providing a direct marketing campaign planning environment |
US10402901B2 (en) | 2007-01-31 | 2019-09-03 | Experian Information Solutions, Inc. | System and method for providing an aggregation tool |
US11443373B2 (en) | 2007-01-31 | 2022-09-13 | Experian Information Solutions, Inc. | System and method for providing an aggregation tool |
US10891691B2 (en) | 2007-01-31 | 2021-01-12 | Experian Information Solutions, Inc. | System and method for providing an aggregation tool |
US10078868B1 (en) | 2007-01-31 | 2018-09-18 | Experian Information Solutions, Inc. | System and method for providing an aggregation tool |
US9619579B1 (en) | 2007-01-31 | 2017-04-11 | Experian Information Solutions, Inc. | System and method for providing an aggregation tool |
US8606666B1 (en) | 2007-01-31 | 2013-12-10 | Experian Information Solutions, Inc. | System and method for providing an aggregation tool |
US9508092B1 (en) * | 2007-01-31 | 2016-11-29 | Experian Information Solutions, Inc. | Systems and methods for providing a direct marketing campaign planning environment |
US11803873B1 (en) * | 2007-01-31 | 2023-10-31 | Experian Information Solutions, Inc. | Systems and methods for providing a direct marketing campaign planning environment |
US11176570B1 (en) * | 2007-01-31 | 2021-11-16 | Experian Information Solutions, Inc. | Systems and methods for providing a direct marketing campaign planning environment |
US10311466B1 (en) * | 2007-01-31 | 2019-06-04 | Experian Information Solutions, Inc. | Systems and methods for providing a direct marketing campaign planning environment |
US11908005B2 (en) | 2007-01-31 | 2024-02-20 | Experian Information Solutions, Inc. | System and method for providing an aggregation tool |
US10650449B2 (en) | 2007-01-31 | 2020-05-12 | Experian Information Solutions, Inc. | System and method for providing an aggregation tool |
US20080235155A1 (en) * | 2007-03-19 | 2008-09-25 | Electronic Data Systems Corporation | Determining a Price Premium for a Project |
US8285656B1 (en) | 2007-03-30 | 2012-10-09 | Consumerinfo.Com, Inc. | Systems and methods for data verification |
US11308170B2 (en) | 2007-03-30 | 2022-04-19 | Consumerinfo.Com, Inc. | Systems and methods for data verification |
US9342783B1 (en) | 2007-03-30 | 2016-05-17 | Consumerinfo.Com, Inc. | Systems and methods for data verification |
US10437895B2 (en) | 2007-03-30 | 2019-10-08 | Consumerinfo.Com, Inc. | Systems and methods for data verification |
US9230283B1 (en) | 2007-12-14 | 2016-01-05 | Consumerinfo.Com, Inc. | Card registry systems and methods |
US9542682B1 (en) | 2007-12-14 | 2017-01-10 | Consumerinfo.Com, Inc. | Card registry systems and methods |
US20090248518A1 (en) * | 2008-03-28 | 2009-10-01 | Fujitsu Limited | Sales support apparatus, computer-readable recording medium having recorded therein sales support program, and sales support method |
US20090287604A1 (en) * | 2008-05-16 | 2009-11-19 | Ayse Korgav | Desktop alert with interactive bona fide dispute initiation through chat session facilitated by desktop application |
US8346662B2 (en) | 2008-05-16 | 2013-01-01 | Visa U.S.A. Inc. | Desktop alert with interactive bona fide dispute initiation through chat session facilitated by desktop application |
US20110087575A1 (en) * | 2008-06-18 | 2011-04-14 | Consumerinfo.Com, Inc. | Personal finance integration system and method |
US8355967B2 (en) | 2008-06-18 | 2013-01-15 | Consumerinfo.Com, Inc. | Personal finance integration system and method |
US8312033B1 (en) | 2008-06-26 | 2012-11-13 | Experian Marketing Solutions, Inc. | Systems and methods for providing an integrated identifier |
US11157872B2 (en) | 2008-06-26 | 2021-10-26 | Experian Marketing Solutions, Llc | Systems and methods for providing an integrated identifier |
US11769112B2 (en) | 2008-06-26 | 2023-09-26 | Experian Marketing Solutions, Llc | Systems and methods for providing an integrated identifier |
US10075446B2 (en) | 2008-06-26 | 2018-09-11 | Experian Marketing Solutions, Inc. | Systems and methods for providing an integrated identifier |
US8954459B1 (en) | 2008-06-26 | 2015-02-10 | Experian Marketing Solutions, Inc. | Systems and methods for providing an integrated identifier |
US20100010861A1 (en) * | 2008-07-11 | 2010-01-14 | Collections Marketing Center, Llc | Method and system for providing a virtual collections call center system |
US8762313B2 (en) | 2008-07-25 | 2014-06-24 | Liveperson, Inc. | Method and system for creating a predictive model for targeting web-page to a surfer |
US11763200B2 (en) | 2008-07-25 | 2023-09-19 | Liveperson, Inc. | Method and system for creating a predictive model for targeting web-page to a surfer |
US8799200B2 (en) | 2008-07-25 | 2014-08-05 | Liveperson, Inc. | Method and system for creating a predictive model for targeting webpage to a surfer |
US8954539B2 (en) | 2008-07-25 | 2015-02-10 | Liveperson, Inc. | Method and system for providing targeted content to a surfer |
US9396295B2 (en) | 2008-07-25 | 2016-07-19 | Liveperson, Inc. | Method and system for creating a predictive model for targeting web-page to a surfer |
US9396436B2 (en) | 2008-07-25 | 2016-07-19 | Liveperson, Inc. | Method and system for providing targeted content to a surfer |
US9336487B2 (en) | 2008-07-25 | 2016-05-10 | Live Person, Inc. | Method and system for creating a predictive model for targeting webpage to a surfer |
US11263548B2 (en) | 2008-07-25 | 2022-03-01 | Liveperson, Inc. | Method and system for creating a predictive model for targeting web-page to a surfer |
US9104970B2 (en) | 2008-07-25 | 2015-08-11 | Liveperson, Inc. | Method and system for creating a predictive model for targeting web-page to a surfer |
US11386106B2 (en) | 2008-08-04 | 2022-07-12 | Liveperson, Inc. | System and methods for searching and communication |
US9558276B2 (en) | 2008-08-04 | 2017-01-31 | Liveperson, Inc. | Systems and methods for facilitating participation |
US10891299B2 (en) | 2008-08-04 | 2021-01-12 | Liveperson, Inc. | System and methods for searching and communication |
US9563707B2 (en) | 2008-08-04 | 2017-02-07 | Liveperson, Inc. | System and methods for searching and communication |
US9569537B2 (en) | 2008-08-04 | 2017-02-14 | Liveperson, Inc. | System and method for facilitating interactions |
US10657147B2 (en) | 2008-08-04 | 2020-05-19 | Liveperson, Inc. | System and methods for searching and communication |
US8805844B2 (en) | 2008-08-04 | 2014-08-12 | Liveperson, Inc. | Expert search |
US9582579B2 (en) | 2008-08-04 | 2017-02-28 | Liveperson, Inc. | System and method for facilitating communication |
US9256904B1 (en) | 2008-08-14 | 2016-02-09 | Experian Information Solutions, Inc. | Multi-bureau credit file freeze and unfreeze |
US9489694B2 (en) | 2008-08-14 | 2016-11-08 | Experian Information Solutions, Inc. | Multi-bureau credit file freeze and unfreeze |
US8595101B1 (en) | 2008-09-08 | 2013-11-26 | Exerian Information Solutions, Inc. | Systems and methods for managing consumer accounts using data migration |
US20100138338A1 (en) * | 2008-09-24 | 2010-06-03 | Ayman Hammad | Intelligent alert system and method |
US9325833B2 (en) | 2008-09-25 | 2016-04-26 | Visa International Service Association | Systems and methods for sorting alert and offer messages on a mobile device |
US9071463B2 (en) | 2008-09-25 | 2015-06-30 | Visa International Service Association | Systems and methods for sorting alert and offer messages on a mobile device |
US8396455B2 (en) | 2008-09-25 | 2013-03-12 | Visa International Service Association | Systems and methods for sorting alert and offer messages on a mobile device |
US9892417B2 (en) | 2008-10-29 | 2018-02-13 | Liveperson, Inc. | System and method for applying tracing tools for network locations |
US10867307B2 (en) | 2008-10-29 | 2020-12-15 | Liveperson, Inc. | System and method for applying tracing tools for network locations |
US11562380B2 (en) | 2008-10-29 | 2023-01-24 | Liveperson, Inc. | System and method for applying tracing tools for network locations |
US8380569B2 (en) | 2009-04-16 | 2013-02-19 | Visa International Service Association, Inc. | Method and system for advanced warning alerts using advanced identification system for identifying fraud detection and reporting |
US20100268696A1 (en) * | 2009-04-16 | 2010-10-21 | Brad Nightengale | Advanced Warning |
US8903735B2 (en) | 2009-04-16 | 2014-12-02 | Visa International Service Association | System and method for pushing advanced warning alerts |
US9542675B2 (en) | 2009-04-28 | 2017-01-10 | Visa International Service Association | Alert architecture |
US10387885B2 (en) | 2009-04-28 | 2019-08-20 | Visa International Service Association | SKU level control and alerts |
US9449327B2 (en) | 2009-04-28 | 2016-09-20 | Visa International Service Association | Merchant alert based system and method including customer presence notification |
US20100299249A1 (en) * | 2009-04-28 | 2010-11-25 | Mark Carlson | Sku level control and alerts |
US9710802B2 (en) | 2009-04-28 | 2017-07-18 | Visa International Service Association | Merchant competition alert |
US20100274572A1 (en) * | 2009-04-28 | 2010-10-28 | Ayman Hammad | Alert architecture |
US10552842B2 (en) | 2009-04-28 | 2020-02-04 | Visa International Service Association | SKU level control and alerts |
US20100287250A1 (en) * | 2009-04-28 | 2010-11-11 | Mark Carlson | Merchant Alert Based System and Method Including Customer Presence Notification |
US10748149B2 (en) | 2009-04-28 | 2020-08-18 | Visa International Service Association | Alert architecture |
US10380571B2 (en) | 2009-04-28 | 2019-08-13 | Visa International Service Association | Merchant alert based system and method including customer presence notification |
US8639920B2 (en) | 2009-05-11 | 2014-01-28 | Experian Marketing Solutions, Inc. | Systems and methods for providing anonymized user profile data |
US8966649B2 (en) | 2009-05-11 | 2015-02-24 | Experian Marketing Solutions, Inc. | Systems and methods for providing anonymized user profile data |
US9595051B2 (en) | 2009-05-11 | 2017-03-14 | Experian Marketing Solutions, Inc. | Systems and methods for providing anonymized user profile data |
US20110010217A1 (en) * | 2009-07-13 | 2011-01-13 | International Business Machines Corporation | Service Oriented Architecture Governance Using A Template |
US8386282B2 (en) * | 2009-07-22 | 2013-02-26 | International Business Machines Corporation | Managing events in a configuration of SOA governance components |
US20110022439A1 (en) * | 2009-07-22 | 2011-01-27 | International Business Machines Corporation | System for managing events in a configuration of soa governance components |
US8533082B1 (en) * | 2009-08-14 | 2013-09-10 | Bank Of America Corporation | Consumer leverage modeling |
US20110082721A1 (en) * | 2009-10-02 | 2011-04-07 | International Business Machines Corporation | Automated reactive business processes |
US9652802B1 (en) | 2010-03-24 | 2017-05-16 | Consumerinfo.Com, Inc. | Indirect monitoring and reporting of a user's credit data |
US10909617B2 (en) | 2010-03-24 | 2021-02-02 | Consumerinfo.Com, Inc. | Indirect monitoring and reporting of a user's credit data |
US9767212B2 (en) | 2010-04-07 | 2017-09-19 | Liveperson, Inc. | System and method for dynamically enabling customized web content and applications |
US11615161B2 (en) | 2010-04-07 | 2023-03-28 | Liveperson, Inc. | System and method for dynamically enabling customized web content and applications |
US9152727B1 (en) | 2010-08-23 | 2015-10-06 | Experian Marketing Solutions, Inc. | Systems and methods for processing consumer information for targeted marketing applications |
US8639616B1 (en) | 2010-10-01 | 2014-01-28 | Experian Information Solutions, Inc. | Business to contact linkage system |
US8478674B1 (en) | 2010-11-12 | 2013-07-02 | Consumerinfo.Com, Inc. | Application clusters |
US8818888B1 (en) | 2010-11-12 | 2014-08-26 | Consumerinfo.Com, Inc. | Application clusters |
US9147042B1 (en) | 2010-11-22 | 2015-09-29 | Experian Information Solutions, Inc. | Systems and methods for data verification |
US10104020B2 (en) | 2010-12-14 | 2018-10-16 | Liveperson, Inc. | Authentication of service requests initiated from a social networking site |
US11777877B2 (en) | 2010-12-14 | 2023-10-03 | Liveperson, Inc. | Authentication of service requests initiated from a social networking site |
US10038683B2 (en) | 2010-12-14 | 2018-07-31 | Liveperson, Inc. | Authentication of service requests using a communications initiation feature |
US11050687B2 (en) | 2010-12-14 | 2021-06-29 | Liveperson, Inc. | Authentication of service requests initiated from a social networking site |
US8918465B2 (en) | 2010-12-14 | 2014-12-23 | Liveperson, Inc. | Authentication of service requests initiated from a social networking site |
US9350598B2 (en) | 2010-12-14 | 2016-05-24 | Liveperson, Inc. | Authentication of service requests using a communications initiation feature |
US8453068B2 (en) * | 2011-04-11 | 2013-05-28 | Credibility Corp. | Visualization tools for reviewing credibility and stateful hierarchical access to credibility |
US9111281B2 (en) | 2011-04-11 | 2015-08-18 | Credibility Corp. | Visualization tools for reviewing credibility and stateful hierarchical access to credibility |
US11861691B1 (en) | 2011-04-29 | 2024-01-02 | Consumerinfo.Com, Inc. | Exposing reporting cycle information |
US9558519B1 (en) | 2011-04-29 | 2017-01-31 | Consumerinfo.Com, Inc. | Exposing reporting cycle information |
US10685336B1 (en) | 2011-06-16 | 2020-06-16 | Consumerinfo.Com, Inc. | Authentication alerts |
US11954655B1 (en) | 2011-06-16 | 2024-04-09 | Consumerinfo.Com, Inc. | Authentication alerts |
US11232413B1 (en) | 2011-06-16 | 2022-01-25 | Consumerinfo.Com, Inc. | Authentication alerts |
US10115079B1 (en) | 2011-06-16 | 2018-10-30 | Consumerinfo.Com, Inc. | Authentication alerts |
US9665854B1 (en) | 2011-06-16 | 2017-05-30 | Consumerinfo.Com, Inc. | Authentication alerts |
CN103827908A (en) * | 2011-07-12 | 2014-05-28 | 益百利信息解决方案公司 | Systems and methods for a large-scale credit data processing architecture |
WO2013009920A1 (en) * | 2011-07-12 | 2013-01-17 | Experian Information Solutions, Inc. | Systems and methods for a large-scale credit data processing architecture |
US20130124392A1 (en) * | 2011-07-12 | 2013-05-16 | Venkat Achanta | Systems and methods for large-scale credit data processing |
US8775299B2 (en) * | 2011-07-12 | 2014-07-08 | Experian Information Solutions, Inc. | Systems and methods for large-scale credit data processing |
AU2012281182B2 (en) * | 2011-07-12 | 2015-07-09 | Experian Information Solutions, Inc. | Systems and methods for a large-scale credit data processing architecture |
US9106691B1 (en) | 2011-09-16 | 2015-08-11 | Consumerinfo.Com, Inc. | Systems and methods of identity protection and management |
US9542553B1 (en) | 2011-09-16 | 2017-01-10 | Consumerinfo.Com, Inc. | Systems and methods of identity protection and management |
US11790112B1 (en) | 2011-09-16 | 2023-10-17 | Consumerinfo.Com, Inc. | Systems and methods of identity protection and management |
US10061936B1 (en) | 2011-09-16 | 2018-08-28 | Consumerinfo.Com, Inc. | Systems and methods of identity protection and management |
US11087022B2 (en) | 2011-09-16 | 2021-08-10 | Consumerinfo.Com, Inc. | Systems and methods of identity protection and management |
US10642999B2 (en) | 2011-09-16 | 2020-05-05 | Consumerinfo.Com, Inc. | Systems and methods of identity protection and management |
US20150161726A1 (en) * | 2011-09-22 | 2015-06-11 | Paul Pawlusiak | System and method of expedited credit and loan processing |
US8909551B2 (en) * | 2011-09-22 | 2014-12-09 | Paul Pawlusiak | System and method of expedited credit and loan processing |
US20130218752A1 (en) * | 2011-09-22 | 2013-08-22 | Paul Pawlusiak | System and method of expedited credit and loan processing |
US11200620B2 (en) | 2011-10-13 | 2021-12-14 | Consumerinfo.Com, Inc. | Debt services candidate locator |
US9536263B1 (en) | 2011-10-13 | 2017-01-03 | Consumerinfo.Com, Inc. | Debt services candidate locator |
US9972048B1 (en) | 2011-10-13 | 2018-05-15 | Consumerinfo.Com, Inc. | Debt services candidate locator |
US8738516B1 (en) | 2011-10-13 | 2014-05-27 | Consumerinfo.Com, Inc. | Debt services candidate locator |
US8943002B2 (en) | 2012-02-10 | 2015-01-27 | Liveperson, Inc. | Analytics driven engagement |
US8473410B1 (en) | 2012-02-23 | 2013-06-25 | American Express Travel Related Services Company, Inc. | Systems and methods for identifying financial relationships |
US20130226780A1 (en) * | 2012-02-23 | 2013-08-29 | American Express Travel Related Services Company, Inc. | Systems and methods for identifying financial relationships |
US11276115B1 (en) | 2012-02-23 | 2022-03-15 | American Express Travel Related Services Company, Inc. | Tradeline fingerprint |
US8538869B1 (en) | 2012-02-23 | 2013-09-17 | American Express Travel Related Services Company, Inc. | Systems and methods for identifying financial relationships |
US9477988B2 (en) | 2012-02-23 | 2016-10-25 | American Express Travel Related Services Company, Inc. | Systems and methods for identifying financial relationships |
US8781954B2 (en) * | 2012-02-23 | 2014-07-15 | American Express Travel Related Services Company, Inc. | Systems and methods for identifying financial relationships |
US10497055B2 (en) | 2012-02-23 | 2019-12-03 | American Express Travel Related Services Company, Inc. | Tradeline fingerprint |
US9331969B2 (en) | 2012-03-06 | 2016-05-03 | Liveperson, Inc. | Occasionally-connected computing interface |
US11711329B2 (en) | 2012-03-06 | 2023-07-25 | Liveperson, Inc. | Occasionally-connected computing interface |
US8805941B2 (en) | 2012-03-06 | 2014-08-12 | Liveperson, Inc. | Occasionally-connected computing interface |
US11134038B2 (en) | 2012-03-06 | 2021-09-28 | Liveperson, Inc. | Occasionally-connected computing interface |
US10326719B2 (en) | 2012-03-06 | 2019-06-18 | Liveperson, Inc. | Occasionally-connected computing interface |
US10666633B2 (en) | 2012-04-18 | 2020-05-26 | Liveperson, Inc. | Authentication of service requests using a communications initiation feature |
US11689519B2 (en) | 2012-04-18 | 2023-06-27 | Liveperson, Inc. | Authentication of service requests using a communications initiation feature |
US11323428B2 (en) | 2012-04-18 | 2022-05-03 | Liveperson, Inc. | Authentication of service requests using a communications initiation feature |
US11868591B2 (en) | 2012-04-26 | 2024-01-09 | Liveperson, Inc. | Dynamic user interface customization |
US9563336B2 (en) | 2012-04-26 | 2017-02-07 | Liveperson, Inc. | Dynamic user interface customization |
US10795548B2 (en) | 2012-04-26 | 2020-10-06 | Liveperson, Inc. | Dynamic user interface customization |
US11269498B2 (en) | 2012-04-26 | 2022-03-08 | Liveperson, Inc. | Dynamic user interface customization |
US9853959B1 (en) | 2012-05-07 | 2017-12-26 | Consumerinfo.Com, Inc. | Storage and maintenance of personal data |
US11356430B1 (en) | 2012-05-07 | 2022-06-07 | Consumerinfo.Com, Inc. | Storage and maintenance of personal data |
US11687981B2 (en) | 2012-05-15 | 2023-06-27 | Liveperson, Inc. | Methods and systems for presenting specialized content using campaign metrics |
US11004119B2 (en) | 2012-05-15 | 2021-05-11 | Liveperson, Inc. | Methods and systems for presenting specialized content using campaign metrics |
US9672196B2 (en) | 2012-05-15 | 2017-06-06 | Liveperson, Inc. | Methods and systems for presenting specialized content using campaign metrics |
US8918891B2 (en) | 2012-06-12 | 2014-12-23 | Id Analytics, Inc. | Identity manipulation detection system and method |
US20140025562A1 (en) * | 2012-07-18 | 2014-01-23 | Corelogic Solutions, Llc. | Enhanced credit reporting system, method and computer program product |
US9070136B2 (en) | 2012-10-04 | 2015-06-30 | Innovation Software, Llc | Cloud-based skip tracing application |
WO2014055220A2 (en) * | 2012-10-04 | 2014-04-10 | Innovation Software, Llc | Cloud-based skip tracing application |
US8819061B2 (en) | 2012-10-04 | 2014-08-26 | Innovation Software, Llc | Cloud-based skip tracing application |
WO2014055220A3 (en) * | 2012-10-04 | 2014-05-30 | Innovation Software, Llc | Cloud-based skip tracing application |
US9654541B1 (en) | 2012-11-12 | 2017-05-16 | Consumerinfo.Com, Inc. | Aggregating user web browsing data |
US11863310B1 (en) | 2012-11-12 | 2024-01-02 | Consumerinfo.Com, Inc. | Aggregating user web browsing data |
US11012491B1 (en) | 2012-11-12 | 2021-05-18 | ConsumerInfor.com, Inc. | Aggregating user web browsing data |
US10277659B1 (en) | 2012-11-12 | 2019-04-30 | Consumerinfo.Com, Inc. | Aggregating user web browsing data |
US20140156503A1 (en) * | 2012-12-03 | 2014-06-05 | Experian Information Solutions, Inc. | Systems and methods for providing a customizable credit report |
US10255598B1 (en) | 2012-12-06 | 2019-04-09 | Consumerinfo.Com, Inc. | Credit card account data extraction |
US9697263B1 (en) | 2013-03-04 | 2017-07-04 | Experian Information Solutions, Inc. | Consumer data request fulfillment system |
WO2014137759A1 (en) * | 2013-03-06 | 2014-09-12 | Experian Information Solutions, Inc. | Systems and methods for microfinance credit data processing and reporting |
US8972400B1 (en) | 2013-03-11 | 2015-03-03 | Consumerinfo.Com, Inc. | Profile data management |
US9870589B1 (en) | 2013-03-14 | 2018-01-16 | Consumerinfo.Com, Inc. | Credit utilization tracking and reporting |
US10685398B1 (en) | 2013-04-23 | 2020-06-16 | Consumerinfo.Com, Inc. | Presenting credit score information |
US10102536B1 (en) | 2013-11-15 | 2018-10-16 | Experian Information Solutions, Inc. | Micro-geographic aggregation system |
US10580025B2 (en) | 2013-11-15 | 2020-03-03 | Experian Information Solutions, Inc. | Micro-geographic aggregation system |
US11847693B1 (en) | 2014-02-14 | 2023-12-19 | Experian Information Solutions, Inc. | Automatic generation of code for attributes |
US11107158B1 (en) | 2014-02-14 | 2021-08-31 | Experian Information Solutions, Inc. | Automatic generation of code for attributes |
US10262362B1 (en) | 2014-02-14 | 2019-04-16 | Experian Information Solutions, Inc. | Automatic generation of code for attributes |
US11386442B2 (en) | 2014-03-31 | 2022-07-12 | Liveperson, Inc. | Online behavioral predictor |
US11638195B2 (en) | 2015-06-02 | 2023-04-25 | Liveperson, Inc. | Dynamic communication routing based on consistency weighting and routing rules |
US10869253B2 (en) | 2015-06-02 | 2020-12-15 | Liveperson, Inc. | Dynamic communication routing based on consistency weighting and routing rules |
US10278065B2 (en) | 2016-08-14 | 2019-04-30 | Liveperson, Inc. | Systems and methods for real-time remote control of mobile applications |
US11399029B2 (en) | 2018-09-05 | 2022-07-26 | Consumerinfo.Com, Inc. | Database platform for realtime updating of user data from third party sources |
US10880313B2 (en) | 2018-09-05 | 2020-12-29 | Consumerinfo.Com, Inc. | Database platform for realtime updating of user data from third party sources |
USD955401S1 (en) * | 2020-08-13 | 2022-06-21 | Pnc Financial Services Group, Inc. | Display screen or portion thereof with graphical user interface |
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