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Publication numberUS20010011245 A1
Publication typeApplication
Application numberUS 09/095,779
Publication dateAug 2, 2001
Filing dateJun 11, 1998
Priority dateJun 11, 1998
Also published asUS6311169, US7584146
Publication number09095779, 095779, US 2001/0011245 A1, US 2001/011245 A1, US 20010011245 A1, US 20010011245A1, US 2001011245 A1, US 2001011245A1, US-A1-20010011245, US-A1-2001011245, US2001/0011245A1, US2001/011245A1, US20010011245 A1, US20010011245A1, US2001011245 A1, US2001011245A1
InventorsEric M. Duhon
Original AssigneeEric M. Duhon
Export CitationBiBTeX, EndNote, RefMan
External Links: USPTO, USPTO Assignment, Espacenet
On-line consumer credit data reporting system
US 20010011245 A1
Abstract
A consumer credit information data base controlled by a computerized system for storing current consumer credit information, as well as historical credit data information. The computerized system is programmed to present current and historical credit data information to on-line users so that better assessments can be made as to the credit worthiness of a consumer.
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Claims(20)
What is claimed is:
1. A computerized system for providing consumer credit information, comprising:
a computer system;
a data base for storing consumer credit information;
said computer system being programmed to store current credit information and programmed to store historical credit information for a period at least greater than six months; and
said computer system being programmed to provide data for screen displays showing historical credit information in graphical form.
2. The computerized system of
claim 1
, wherein said computer system is programmed to process a plurality of individual parameters related to the historical credit information and store data representative of the processed parameters so as to be automatically presented in a chronological order for said period.
3. The computerized system of
claim 2
, wherein said individual parameters include at least an account balance for each month for said period and a payment history for each month for said period.
4. The computerized system of
claim 2
, wherein each said parameter is stored in said data base in association with a respective consumer.
5. The computerized system of
claim 1
, wherein historical credit information is stored in said data base in association with respective consumers, and in association with each tradeline to which the respective consumers owed money for said period.
6. The computerized system of
claim 1
, wherein said computer system is programmed to display a bar graph depicting at least one said parameter for said period.
7. The computerized system of
claim 6
, wherein said computer system is programmed to display data comprising a parameter displayed as said bar graph, and programmed to display numerical data together with said bar graph.
8. The computerized system of
claim 6
, wherein said computer system is programmed to display said bar graph for a desired trade line.
9. The computerized system of
claim 6
, wherein said computer system is programmed to present said bar graph showing a first set of bars for an account balance, where each bar is representative of an account balance for an interval of one month, and programmed to present a second set of bars on said bar graph for past due amounts, where each bar of said second set is representative of a past due amount for an interval of one month.
10. The computerized system of
claim 9
, wherein said computer system is programmed to display numerical data with said bar graph, where said numerical data corresponds to data processed to produce said bar graph.
11. The computerized system of
claim 1
, wherein said computer system is programmed to display a plurarity of parameters, each for said period, together as a single screen display.
12. The computerized system of
claim 11
, wherein each parameter of said plurarity of parameters is selectable by an on-line user of said computerized system.
13. The computerized system of
claim 6
, wherein said period is divided into time intervals, and a length of said time intervals is selectable by an on-line user of said computerized system.
14. The computerized system of
claim 1
, wherein said computer system is programmed to display said historical data for a twenty-four month period in monthly intervals identified by a month and year, and programmed to display a plurarity of tradelines and a payment delinquency of a consumer for each tradeline for each said monthly interval.
15. The computerized system of
claim 1
, wherein said computer system is programmed to process address information for a plurarity of consumers, and present on a screen display reported address data for each said consumer, and a date in which said address was reported as being associated with a respective consumer.
16. The computerized system of
claim 15
, wherein said computer system is programmed to display an accumulated number of sources reporting the respective address information.
17. The computerized system of
claim 1
, wherein said computer system is programmed to process social security number information for a plurarity of consumers, and present on respective screen displays reported social security numbers for each said consumer, and a respective date in which said social security numbers were reported as being associated with the respective consumers.
18. A method of programming a computerized system to provide screen displays of consumer credit information, comprising the steps of:
storing in a data base a plurarity of parameters of credit information for consumers, and maintaining the consumer credit information in said data base for at least a six month period;
programming the computerized system to provide screen displays of the consumer credit information accumulated for said period; and
programming the computerized system to allow selection by a user of one or more parameters to be displayed.
19. The method of
claim 18
, further including processing the credit information for said period and displaying graphically the credit information accumulated for the period.
20. The method of
claim 19
, further including receiving information from a user for selecting plural graphical depictions of credit information to be presented on a single screen display.
Description
    BACKGROUND OF THE INVENTION
  • [0001]
    1. Field of the Invention
  • [0002]
    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.
  • [0003]
    2. Background Art
  • [0004]
    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.
  • [0005]
    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.
  • [0006]
    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.
  • [0007]
    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.
  • [0008]
    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.
  • [0009]
    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.
  • [0010]
    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.
  • [0011]
    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.
  • SUMMARY OF THE INVENTION
  • [0012]
    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.
  • [0013]
    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.
  • [0014]
    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.
  • [0015]
    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.
  • BRIEF DESCRIPTION OF THE DRAWINGS
  • [0016]
    Other objects and advantages of the invention will become apparent upon reference to the drawings, in which:
  • [0017]
    [0017]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;
  • [0018]
    [0018]FIG. 2 is a block diagram of the software functions performed in the on-line consumer credit data reporting system of FIG. 1;
  • [0019]
    [0019]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;
  • [0020]
    [0020]FIG. 4 is a search screen presented to the on-line customer by the GUI;
  • [0021]
    [0021]FIG. 5 is a standard credit report screen presented to the on-line customer by the GUI;
  • [0022]
    [0022]FIG. 6 is a tradeline information screen presented to the on-line customer by the GUI;
  • [0023]
    [0023]FIG. 7 is another tradeline information screen presented to the on-line customer by the GUI;
  • [0024]
    [0024]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;
  • [0025]
    [0025]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;
  • [0026]
    [0026]FIG. 10 is a display option screen presented to the on-line customer by the GUI for the selection of multiple graphical depictions;
  • [0027]
    [0027]FIG. 11 is a delinquency bar graph screen presented to the on-line customer by the GUI to indicate months past due;
  • [0028]
    [0028]FIG. 12 is a special comment screen presented to the on-line customer by the GUI;
  • [0029]
    [0029]FIG. 13 is a sort option screen presented to the on-line customer by the GUI;
  • [0030]
    [0030]FIG. 14 is a consumer demographic information screen presented to the on-line customer by the GUI;
  • [0031]
    [0031]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;
  • [0032]
    [0032]FIG. 16 is a drawing depicting the cycle of data processing and data delivery within the credit industry; and
  • [0033]
    [0033]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.
  • [0034]
    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.
  • DESCRIPTION OF THE PREFERRED EMBODIMENT
  • [0035]
    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 108 and 110 utilize MIP R4400 processors working in a SVR4 UNIX environment termed DCOSX. Preferably, 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.
  • [0036]
    Consumer credit data is stored in a direct access storage device (DASD) array 112 in the form of a single-instance data base. Each computer system 108 and 110 has equal access to the DASD memory array 112. Preferably, 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. The 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.
  • [0037]
    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. As will be further described below, 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.
  • [0038]
    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. 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 in DASD 112.
  • [0039]
    Information in batch form may be provided directly by batch credit data providers 118 or indirectly via removable 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, 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. 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 through FDDI ring 103 before updating the DASD array 112.
  • [0040]
    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. 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.
  • [0041]
    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).
  • [0042]
    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.
  • [0043]
    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.
  • [0044]
    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. When placed in the reporting format, the credit data is transmitted back to the requesting workstation of the CPU-CPU client 104.
  • [0045]
    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.
  • [0046]
    The server 130 of the computer system “A” (110 in FIG. 1) functions as a resource manager 132 by identifying formatted requests for information from CPU-CPU or GUI clients 104 and 105. Preferably, 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. Lastly, the ORACLE resources manager 160 services the requests by accessing the data base 112 to find the information in reply to such requests.
  • [0047]
    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.
  • [0048]
    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.
  • [0049]
    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.
  • [0050]
    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.
  • [0051]
    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.
  • [0052]
    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.
  • [0053]
    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.
  • [0054]
    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.
  • [0055]
    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.
  • [0056]
    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.
  • [0057]
    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.
  • [0058]
    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.
  • [0059]
    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.
  • [0060]
    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.
  • [0061]
    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.
  • [0062]
    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.
  • [0063]
    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.
  • [0064]
    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.
  • [0065]
    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.
  • [0066]
    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.
  • [0067]
    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.
  • [0068]
    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.
  • [0069]
    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.
  • [0070]
    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.
  • [0071]
    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.
  • [0072]
    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.
  • [0073]
    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.
  • [0074]
    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.
  • [0075]
    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.
  • [0076]
    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.
  • [0077]
    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. 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.
  • [0078]
    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.
  • [0079]
    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.
  • [0080]
    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.
  • [0081]
    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.
  • [0082]
    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.
  • [0083]
    Turning now to FIG. 15, there is shown in more detail the single-instance relational data base 112 noted in FIG. 1 as the DASD 112. 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 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 the data 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 the data 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.
  • [0084]
    [0084]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. 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. The software modules 170, and 176 are resident in DASD 112 of FIG. 1.
  • [0085]
    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.
  • [0086]
    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.
  • [0087]
    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.
  • [0088]
    [0088]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.
  • [0089]
    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.
Referenced by
Citing PatentFiling datePublication dateApplicantTitle
US6947873 *Aug 27, 2001Sep 20, 2005Toshiba Engineering CorporationMethod and apparatus for generating measurement data
US7028052 *May 10, 2001Apr 11, 2006Equifax, Inc.Systems and methods for notifying a consumer of changes made to a credit report
US7080035 *Mar 20, 2000Jul 18, 2006Bellsouth Intellectual Property Corp.System and method for notifying an electronic billing vendor of a customer status change
US7133935 *Nov 7, 2003Nov 7, 2006Shad HedySystem and method for real-time electronic inquiry, delivery, and reporting of credit information
US7257206 *Jun 14, 2002Aug 14, 2007General Electric Capital CorporationSkip tracing system
US7542993 *Jan 20, 2006Jun 2, 2009Equifax, Inc.Systems and methods for notifying a consumer of changes made to a credit report
US7552080Mar 9, 2001Jun 23, 2009Nextcard, LlcCustomized credit offer strategy based on terms specified by an applicant
US7562814Dec 30, 2004Jul 21, 2009Id Analytics, Inc.System and method for identity-based fraud detection through graph anomaly detection
US7610243Jun 30, 2005Oct 27, 2009American Express Travel Related Services Company, Inc.Method and apparatus for rating asset-backed securities
US7610261Oct 31, 2007Oct 27, 2009American Express Travel Related Services Company, Inc.System and method for acquisition, assimilation and storage of information
US7686214Dec 30, 2004Mar 30, 2010Id Analytics, Inc.System and method for identity-based fraud detection using a plurality of historical identity records
US7720750Dec 14, 2000May 18, 2010Equifax, Inc.Systems and methods for providing consumers anonymous pre-approved offers from a consumer-selected group of merchants
US7725523 *Apr 11, 2001May 25, 2010Bolnick David ASystem, method and computer program product for gathering and delivering personalized user information
US7756781Oct 31, 2007Jul 13, 2010Nextcard, LlcMethod and apparatus for a verifiable on line rejection of an applicant for credit
US7788147Oct 29, 2004Aug 31, 2010American Express Travel Related Services Company, Inc.Method and apparatus for estimating the spend capacity of consumers
US7788152Feb 10, 2009Aug 31, 2010American Express Travel Related Services Company, Inc.Method and apparatus for estimating the spend capacity of consumers
US7793835Jul 7, 2009Sep 14, 2010Id Analytics, Inc.System and method for identity-based fraud detection for transactions using a plurality of historical identity records
US7814004Jun 30, 2005Oct 12, 2010American Express Travel Related Services Company, Inc.Method and apparatus for development and use of a credit score based on spend capacity
US7822665Aug 2, 2006Oct 26, 2010American Express Travel Related Services Company, Inc.Using commercial share of wallet in private equity investments
US7840484 *Jun 30, 2005Nov 23, 2010American Express Travel Related Services Company, Inc.Credit score and scorecard development
US7844534Jul 9, 2010Nov 30, 2010American Express Travel Related Services Company, Inc.Using commercial share of wallet to rate investments
US7856454Mar 24, 2003Dec 21, 2010Siebel Systems, Inc.Data model for business relationships
US7865390May 21, 2004Jan 4, 2011Siebel Systems, Inc.Modeling of employee performance result data
US7890420May 10, 2010Feb 15, 2011American Express Travel Related Services Company, Inc.Method and apparatus for development and use of a credit score based on spend capacity
US7904340Dec 31, 2003Mar 8, 2011Siebel Systems, Inc.Methods and computer-readable medium for defining a product model
US7908188 *Jan 22, 2003Mar 15, 2011Lavante, Inc.Method and system of managing accounts payable auditing data
US7912770Jun 30, 2005Mar 22, 2011American Express Travel Related Services Company, Inc.Method and apparatus for consumer interaction based on spend capacity
US7912932Mar 24, 2004Mar 22, 2011Siebel Systems, Inc.Service request common object
US7991666Feb 10, 2009Aug 2, 2011American Express Travel Related Services Company, Inc.Method and apparatus for estimating the spend capacity of consumers
US7991677Oct 21, 2010Aug 2, 2011American Express Travel Related Services Company, Inc.Using commercial share of wallet to rate investments
US7991688 *Nov 14, 2001Aug 2, 2011Knowledge Works Inc.Methods and apparatus for automatically exchanging credit information
US8010422Nov 13, 2001Aug 30, 2011Nextcard, LlcOn-line balance transfers
US8015107Oct 26, 2009Sep 6, 2011Experian Information Solutions, Inc.System and method for interactively simulating a credit-worthiness score
US8024245Jul 9, 2010Sep 20, 2011American Express Travel Related Services Company, Inc.Using commercial share of wallet in private equity investments
US8073752Apr 15, 2008Dec 6, 2011American Express Travel Related Services Company, Inc.Using commercial share of wallet to rate business prospects
US8073768Oct 14, 2010Dec 6, 2011American Express Travel Related Services Company, Inc.Credit score and scorecard development
US8086509Aug 2, 2006Dec 27, 2011American Express Travel Related Services Company, Inc.Determining commercial share of wallet
US8090734Sep 16, 2009Jan 3, 2012American Express Travel Related Services Company, Inc.System and method for assessing risk
US8112296May 21, 2004Feb 7, 2012Siebel Systems, Inc.Modeling of job profile data
US8121918Apr 15, 2008Feb 21, 2012American Express Travel Related Services Company, Inc.Using commercial share of wallet to manage vendors
US8131614Aug 2, 2006Mar 6, 2012American Express Travel Related Services Company, Inc.Using commercial share of wallet to compile marketing company lists
US8131639Jun 21, 2011Mar 6, 2012American Express Travel Related Services, Inc.Method and apparatus for estimating the spend capacity of consumers
US8175889Apr 5, 2006May 8, 2012Experian Information Solutions, Inc.Systems and methods for tracking changes of address based on service disconnect/connect data
US8200539May 26, 2006Jun 12, 2012Siebel Systems, Inc.Product common object
US8204774Dec 15, 2006Jun 19, 2012American Express Travel Related Services Company, Inc.Estimating the spend capacity of consumer households
US8239677Oct 10, 2006Aug 7, 2012Equifax Inc.Verification and authentication systems and methods
US8255307 *Jan 18, 2011Aug 28, 2012Jpmorgan Chase Bank, N.A.System and method for measuring and utilizing pooling analytics
US8280761 *Jun 15, 2001Oct 2, 2012West CorporationMethod of facilitating contact between a consumer and a requesting entity
US8285656Mar 28, 2008Oct 9, 2012Consumerinfo.Com, Inc.Systems and methods for data verification
US8296213Jun 27, 2011Oct 23, 2012American Express Travel Related Services Company, Inc.Using commercial share of wallet to rate investments
US8312033Jun 26, 2009Nov 13, 2012Experian Marketing Solutions, Inc.Systems and methods for providing an integrated identifier
US8321334Mar 4, 2011Nov 27, 2012Experian Information Solutions, Inc.Credit score simulation
US8321952Jun 24, 2011Nov 27, 2012Hitwise Pty. Ltd.Method and system for monitoring online computer network behavior and creating online behavior profiles
US8326671Aug 2, 2006Dec 4, 2012American Express Travel Related Services Company, Inc.Using commercial share of wallet to analyze vendors in online marketplaces
US8326672Aug 2, 2006Dec 4, 2012American Express Travel Related Services Company, Inc.Using commercial share of wallet in financial databases
US8335741Sep 2, 2011Dec 18, 2012Experian Information Solutions, Inc.System and method for interactively simulating a credit-worthiness score
US8346662May 16, 2008Jan 1, 2013Visa U.S.A. Inc.Desktop alert with interactive bona fide dispute initiation through chat session facilitated by desktop application
US8355967Dec 13, 2010Jan 15, 2013Consumerinfo.Com, Inc.Personal finance integration system and method
US8380569Jul 20, 2009Feb 19, 2013Visa International Service Association, Inc.Method and system for advanced warning alerts using advanced identification system for identifying fraud detection and reporting
US8386282 *Jul 22, 2009Feb 26, 2013International Business Machines CorporationManaging events in a configuration of SOA governance components
US8386377Apr 22, 2008Feb 26, 2013Id Analytics, Inc.System and method for credit scoring using an identity network connectivity
US8392298Oct 16, 2003Mar 5, 2013Siebel Systems, Inc.Invoice adjustment data object for a common data object format
US8392334Aug 22, 2011Mar 5, 2013Experian Information Solutions, Inc.System and method for providing a score for a used vehicle
US8396455Sep 23, 2009Mar 12, 2013Visa International Service AssociationSystems and methods for sorting alert and offer messages on a mobile device
US8453068 *Dec 18, 2012May 28, 2013Credibility Corp.Visualization tools for reviewing credibility and stateful hierarchical access to credibility
US8463919Jul 13, 2011Jun 11, 2013Hitwise Pty. LtdProcess for associating data requests with site visits
US8473399Oct 16, 2003Jun 25, 2013Siebel Systems, Inc.Invoice data object for a common data object format
US8473410Feb 23, 2012Jun 25, 2013American Express Travel Related Services Company, Inc.Systems and methods for identifying financial relationships
US8478674Sep 30, 2011Jul 2, 2013Consumerinfo.Com, Inc.Application clusters
US8489470Oct 28, 2003Jul 16, 2013Siebel Systems, Inc.Inventory location common object
US8510179Oct 28, 2003Aug 13, 2013Siebel Systems, Inc.Inventory transaction common object
US8533082 *Aug 14, 2009Sep 10, 2013Bank Of America CorporationConsumer leverage modeling
US8538840 *May 8, 2003Sep 17, 2013Siebel Systems, Inc.Financial services data model
US8538869Feb 23, 2012Sep 17, 2013American Express Travel Related Services Company, Inc.Systems and methods for identifying financial relationships
US8543499Dec 22, 2006Sep 24, 2013American Express Travel Related Services Company, Inc.Reducing risks related to check verification
US8577770Jul 23, 2012Nov 5, 2013Jpmorgan Chase, N.A.System and method for measuring and utilizing pooling analytics
US8589286Sep 14, 2012Nov 19, 2013Experian Information Solutions, Inc.Credit score simulation
US8595101Sep 4, 2009Nov 26, 2013Exerian Information Solutions, Inc.Systems and methods for managing consumer accounts using data migration
US8606666Jan 30, 2008Dec 10, 2013Experian Information Solutions, Inc.System and method for providing an aggregation tool
US8615458Feb 25, 2013Dec 24, 2013American Express Travel Related Services Company, Inc.Industry size of wallet
US8630929Oct 26, 2006Jan 14, 2014American Express Travel Related Services Company, Inc.Using commercial share of wallet to make lending decisions
US8639616Sep 30, 2011Jan 28, 2014Experian Information Solutions, Inc.Business to contact linkage system
US8639920May 11, 2010Jan 28, 2014Experian Marketing Solutions, Inc.Systems and methods for providing anonymized user profile data
US8645197 *Sep 12, 2012Feb 4, 2014West CorporationMethod of facilitating contact between a consumer and a requesting entity
US8660941Sep 25, 2007Feb 25, 2014Collections Marketing Center, Inc.Method and system for providing a multi-channel virtual collections center
US8682770May 21, 2013Mar 25, 2014American Express Travel Related Services Company, Inc.Using commercial share of wallet in private equity investments
US8694403May 21, 2013Apr 8, 2014American Express Travel Related Services Company, Inc.Using commercial share of wallet to rate investments
US8713190 *Sep 8, 2006Apr 29, 2014At&T Intellectual Property Ii, L.P.Method and apparatus for performing real time anomaly detection
US8738516Oct 12, 2012May 27, 2014Consumerinfo.Com, Inc.Debt services candidate locator
US8738732Feb 24, 2006May 27, 2014Liveperson, Inc.System and method for performing follow up based on user interactions
US8744944Nov 1, 2013Jun 3, 2014American Express Travel Related Services Company, Inc.Using commercial share of wallet to make lending decisions
US8762313Jun 10, 2011Jun 24, 2014Liveperson, Inc.Method and system for creating a predictive model for targeting web-page to a surfer
US8775290Jan 29, 2014Jul 8, 2014American Express Travel Related Services Company, Inc.Using commercial share of wallet to rate investments
US8775299 *Jul 11, 2012Jul 8, 2014Experian Information Solutions, Inc.Systems and methods for large-scale credit data processing
US8775301Aug 21, 2013Jul 8, 2014American Express Travel Related Services Company, Inc.Reducing risks related to check verification
US8781933Oct 4, 2012Jul 15, 2014American Express Travel Related Services Company, Inc.Determining commercial share of wallet
US8781953Feb 9, 2010Jul 15, 2014Consumerinfo.Com, Inc.Card management system and method
US8781954 *Feb 23, 2012Jul 15, 2014American Express Travel Related Services Company, Inc.Systems and methods for identifying financial relationships
US8788388Mar 11, 2013Jul 22, 2014American Express Travel Related Services Company, Inc.Using commercial share of wallet to rate business prospects
US8793777Jun 29, 2012Jul 29, 2014Equifax, Inc.Verification and authentication systems and methods
US8799148Aug 30, 2007Aug 5, 2014Rohan K. K. ChandranSystems and methods of ranking a plurality of credit card offers
US8799200Jul 16, 2009Aug 5, 2014Liveperson, Inc.Method and system for creating a predictive model for targeting webpage to a surfer
US8805844Mar 17, 2010Aug 12, 2014Liveperson, Inc.Expert search
US8805941Mar 6, 2012Aug 12, 2014Liveperson, Inc.Occasionally-connected computing interface
US8818888Jun 27, 2013Aug 26, 2014Consumerinfo.Com, Inc.Application clusters
US8819061Oct 4, 2012Aug 26, 2014Innovation Software, LlcCloud-based skip tracing application
US8868448Aug 6, 2001Oct 21, 2014Liveperson, Inc.Systems and methods to facilitate selling of products and services
US8868641Apr 7, 2010Oct 21, 2014Onederland Technology LlcSystem, method and computer program product for gathering and delivering personalized user information
US8903735Dec 18, 2012Dec 2, 2014Visa International Service AssociationSystem and method for pushing advanced warning alerts
US8909551 *Mar 15, 2013Dec 9, 2014Paul PawlusiakSystem and method of expedited credit and loan processing
US8918465Dec 14, 2010Dec 23, 2014Liveperson, Inc.Authentication of service requests initiated from a social networking site
US8918891Jun 12, 2012Dec 23, 2014Id Analytics, Inc.Identity manipulation detection system and method
US8943002Mar 6, 2012Jan 27, 2015Liveperson, Inc.Analytics driven engagement
US8954459Nov 9, 2012Feb 10, 2015Experian Marketing Solutions, Inc.Systems and methods for providing an integrated identifier
US8954539Jul 31, 2012Feb 10, 2015Liveperson, Inc.Method and system for providing targeted content to a surfer
US8966649Jan 23, 2014Feb 24, 2015Experian Marketing Solutions, Inc.Systems and methods for providing anonymized user profile data
US8972400Mar 11, 2013Mar 3, 2015Consumerinfo.Com, Inc.Profile data management
US8996416Mar 10, 2011Mar 31, 2015Lavante, Inc.OCR enabled management of accounts payable and/or accounts receivable auditing data
US9058627Mar 26, 2014Jun 16, 2015Consumerinfo.Com, Inc.Circular rotational interface for display of consumer credit information
US9070136Sep 13, 2013Jun 30, 2015Innovation Software, LlcCloud-based skip tracing application
US9071463Feb 6, 2013Jun 30, 2015Visa International Service AssociationSystems and methods for sorting alert and offer messages on a mobile device
US9104970May 12, 2014Aug 11, 2015Liveperson, Inc.Method and system for creating a predictive model for targeting web-page to a surfer
US9106691Sep 16, 2011Aug 11, 2015Consumerinfo.Com, Inc.Systems and methods of identity protection and management
US9111281Apr 30, 2013Aug 18, 2015Credibility Corp.Visualization tools for reviewing credibility and stateful hierarchical access to credibility
US9147042Nov 22, 2011Sep 29, 2015Experian Information Solutions, Inc.Systems and methods for data verification
US9152727Aug 22, 2011Oct 6, 2015Experian Marketing Solutions, Inc.Systems and methods for processing consumer information for targeted marketing applications
US9230283Jun 17, 2013Jan 5, 2016Consumerinfo.Com, Inc.Card registry systems and methods
US9256904Aug 14, 2009Feb 9, 2016Experian Information Solutions, Inc.Multi-bureau credit file freeze and unfreeze
US9325833Jun 19, 2015Apr 26, 2016Visa International Service AssociationSystems and methods for sorting alert and offer messages on a mobile device
US9331969Jul 2, 2014May 3, 2016Liveperson, Inc.Occasionally-connected computing interface
US9336487Jun 24, 2014May 10, 2016Live Person, Inc.Method and system for creating a predictive model for targeting webpage to a surfer
US9342783Sep 14, 2012May 17, 2016Consumerinfo.Com, Inc.Systems and methods for data verification
US9350598Mar 14, 2013May 24, 2016Liveperson, Inc.Authentication of service requests using a communications initiation feature
US9396295Jun 29, 2015Jul 19, 2016Liveperson, Inc.Method and system for creating a predictive model for targeting web-page to a surfer
US9396436Dec 24, 2014Jul 19, 2016Liveperson, Inc.Method and system for providing targeted content to a surfer
US9432468Mar 31, 2006Aug 30, 2016Liveperson, Inc.System and method for design and dynamic generation of a web page
US9449327Apr 26, 2010Sep 20, 2016Visa International Service AssociationMerchant alert based system and method including customer presence notification
US9477988Feb 23, 2012Oct 25, 2016American Express Travel Related Services Company, Inc.Systems and methods for identifying financial relationships
US9489694Feb 4, 2016Nov 8, 2016Experian Information Solutions, Inc.Multi-bureau credit file freeze and unfreeze
US9508092 *Nov 26, 2013Nov 29, 2016Experian Information Solutions, Inc.Systems and methods for providing a direct marketing campaign planning environment
US9525745Apr 3, 2014Dec 20, 2016Liveperson, Inc.System and method for performing follow up based on user interactions
US9536263May 16, 2014Jan 3, 2017Consumerinfo.Com, Inc.Debt services candidate locator
US9542553Aug 6, 2015Jan 10, 2017Consumerinfo.Com, Inc.Systems and methods of identity protection and management
US9542675Mar 9, 2010Jan 10, 2017Visa International Service AssociationAlert architecture
US9542682Jan 4, 2016Jan 10, 2017Consumerinfo.Com, Inc.Card registry systems and methods
US9558276Sep 29, 2014Jan 31, 2017Liveperson, Inc.Systems and methods for facilitating participation
US9558519Apr 29, 2011Jan 31, 2017Consumerinfo.Com, Inc.Exposing reporting cycle information
US9563336Mar 15, 2013Feb 7, 2017Liveperson, Inc.Dynamic user interface customization
US9563707May 13, 2015Feb 7, 2017Liveperson, Inc.System and methods for searching and communication
US9569537Jun 27, 2014Feb 14, 2017Liveperson, Inc.System and method for facilitating interactions
US9576292May 27, 2014Feb 21, 2017Liveperson, Inc.Systems and methods to facilitate selling of products and services
US9582579Sep 29, 2014Feb 28, 2017Liveperson, Inc.System and method for facilitating communication
US9590930Dec 15, 2015Mar 7, 2017Liveperson, Inc.System and method for performing follow up based on user interactions
US9595051Feb 20, 2015Mar 14, 2017Experian Marketing Solutions, Inc.Systems and methods for providing anonymized user profile data
US9619579Nov 26, 2013Apr 11, 2017Experian Information Solutions, Inc.System and method for providing an aggregation tool
US9652802Mar 23, 2011May 16, 2017Consumerinfo.Com, Inc.Indirect monitoring and reporting of a user's credit data
US9654541Nov 11, 2013May 16, 2017Consumerinfo.Com, Inc.Aggregating user web browsing data
US9659326Nov 11, 2011May 23, 2017Collections Marketing Center, Inc.System and method for debt presentment and resolution
US9665854Jun 15, 2012May 30, 2017Consumerinfo.Com, Inc.Authentication alerts
US9672196Mar 14, 2013Jun 6, 2017Liveperson, Inc.Methods and systems for presenting specialized content using campaign metrics
US20020023230 *Apr 11, 2001Feb 21, 2002Bolnick David A.System, method and computer program product for gathering and delivering personalized user information
US20020026293 *Aug 27, 2001Feb 28, 2002Toshiba Engineering CorporationMethod and apparatus for generating measurement data
US20020042763 *Jun 7, 2001Apr 11, 2002Ranjini PillayApparatus and method for providing trade credit information and/or trade credit insurance information
US20020072927 *Nov 14, 2001Jun 13, 2002William PhelanMethods and apparatus for automatically exchanging credit information
US20020077964 *Dec 14, 2000Jun 20, 2002Brody Robert M.Systems and methods for providing consumers anonymous pre-approved offers from a consumer-selected group of merchants
US20020087460 *Jan 4, 2002Jul 4, 2002Hornung Katharine A.Method for identity theft protection
US20020120560 *Feb 26, 2001Aug 29, 2002Morgan Richard L.System for pricing a payment protection product and method of operation thereof
US20030083893 *Oct 29, 2001May 1, 2003Aliffi Patrick A.System and method for facilitating reciprocative small business financial information exchanges
US20030149645 *Jan 22, 2003Aug 7, 2003Flynn Joseph A.Method and system of managing accounts payable auditing data
US20030154162 *Feb 11, 2003Aug 14, 2003Danaher John ThomasCredit report retrieval system including voice-based interface
US20030225729 *May 31, 2002Dec 4, 2003American Express Travel Related Services Company, Inc.System and method for facilitating information collection, storage, and distribution
US20030231750 *Jun 14, 2002Dec 18, 2003Karn JanvejaSkip tracing system
US20040039586 *Mar 12, 2003Feb 26, 2004Garvey Michael A.Method and apparatus for monitoring events concerning record subjects on behalf of third parties
US20040133521 *Nov 7, 2003Jul 8, 2004Shad HedySystem and method for real-time electronic inquiry, delivery, and reporting of credit information
US20040199458 *Apr 7, 2003Oct 7, 2004Thinh HoSystem and method for on-line mortgage services
US20040199536 *Dec 31, 2003Oct 7, 2004Barnes Leon Maria TheresaProduct common object
US20050004870 *Oct 1, 2003Jan 6, 2005Mcgaughey Richard D.Methods and apparatus for sharing revenue associated with negative collection information
US20050206943 *Mar 22, 2005Sep 22, 2005Fuji Photo Film Co., Ltd.Print order receiving method and apparatus and printing system
US20050261926 *May 24, 2004Nov 24, 2005Hartridge Andrew JSystem and method for quantifying and communicating a quality of a subject entity between entities
US20060149674 *Jun 10, 2005Jul 6, 2006Mike CookSystem and method for identity-based fraud detection for transactions using a plurality of historical identity records
US20060200396 *Jan 20, 2006Sep 7, 2006Satterfield Markus RSystems and methods for notifying a consumer of changes made to a credit report
US20060242039 *Oct 29, 2004Oct 26, 2006Haggerty Kathleen BMethod and apparatus for estimating the spend capacity of consumers
US20060242047 *Jun 30, 2005Oct 26, 2006American Express Travel Related Services Company, Inc., A New York CorporationMethod and apparatus for rating asset-backed securities
US20060242048 *Jun 30, 2005Oct 26, 2006American Express Travel Related Services Company, Inc.Method and apparatus for determining credit characteristics of a consumer
US20060242049 *Jun 30, 2005Oct 26, 2006American Express Travel Related Services Company, Inc.Credit score and scorecard development
US20060242050 *Jun 30, 2005Oct 26, 2006American Express Travel Related Services Company, Inc.Method and apparatus for targeting best customers based on spend capacity
US20060242051 *Jun 30, 2005Oct 26, 2006American Express Travel Related Services Company, Inc.Method and apparatus for development and use of a credit score based on spend capacity
US20060271446 *May 26, 2006Nov 30, 2006Siebel Systems, Inc.Product common object
US20070067206 *Aug 2, 2006Mar 22, 2007American Express Travel Related Services Company, Inc.Using commercial share of wallet to compile marketing company lists
US20070067207 *Aug 2, 2006Mar 22, 2007American Express Travel Related Services Company, Inc.Using commercial share of wallet to analyze vendors in online marketplaces
US20070067209 *Aug 2, 2006Mar 22, 2007American Express Travel Related Services Company, Inc.Determining commercial share of wallet
US20070078741 *Aug 2, 2006Apr 5, 2007American Express Travel Related Services Company, Inc.Using commercial share of wallet in private equity investments
US20070100719 *Dec 15, 2006May 3, 2007American Express Travel Related Services Company, Inc.Estimating the Spend Capacity of Consumer Households
US20070162464 *Mar 6, 2007Jul 12, 2007Rieffanaugh Neal K JrVerified personal credit search system and method thereof
US20070168246 *Dec 22, 2006Jul 19, 2007American Express Marketing & Development Corp., a New York CorporationReducing Risks Related to Check Verification
US20070192165 *Aug 2, 2006Aug 16, 2007American Express Travel Related Services Company, Inc.Using commercial share of wallet in financial databases
US20070208577 *Dec 31, 2003Sep 6, 2007Leon Maria T BPosition common object
US20070208578 *May 21, 2004Sep 6, 2007Caroline MuralitharanModeling of job profile data
US20070208878 *Mar 24, 2004Sep 6, 2007Barnes-Leon Maria TService request common object
US20070214063 *Oct 28, 2003Sep 13, 2007Paramjit KahlonInventory balance common object
US20070214064 *Oct 28, 2003Sep 13, 2007Paramjit KahlonInventory location common object
US20070214065 *Oct 28, 2003Sep 13, 2007Paramjit KahlonInventory transaction common object
US20070226037 *Dec 30, 2003Sep 27, 2007Shailendra GargModeling of opportunity data
US20070226049 *May 21, 2004Sep 27, 2007Caroline MuralitharanModeling of employee performance result data
US20070226093 *May 8, 2003Sep 27, 2007Chan Cynthia MFinancial services data model
US20070226114 *Oct 26, 2006Sep 27, 2007American Express Travel Related Services Co., Inc., A New York CorporationUsing commercial share of wallet to manage investments
US20070238891 *Mar 20, 2007Oct 11, 2007Winsness David JMethod of freeing the bound oil present in whole stillage and thin stillage
US20070250408 *Mar 24, 2003Oct 25, 2007Leon Maria T BData model for business relationships
US20070299771 *Sep 12, 2007Dec 27, 2007Brody Robert MSystems and methods for providing consumers anonymous pre-approved offers from a consumer-selected group or merchants
US20080027859 *Jul 30, 2007Jan 31, 2008Pay Rent, Build Credit, Inc.Preferred credit information data collection method
US20080065651 *Oct 31, 2007Mar 13, 2008American Express Travel Related Services Company, Inc.System and method for acquisition, assimilation and storage of information
US20080077525 *Sep 25, 2007Mar 27, 2008Bridgeforce, Inc.Method and system for providing a multi-channel virtual collections center
US20080086759 *Oct 10, 2006Apr 10, 2008Colson Christen JVerification and authentication systems and methods
US20080091818 *Oct 11, 2006Apr 17, 2008Rmb World Enterprises, LlcSystem And Method Of Employing Web Services Applications To Obtain Real-Time Information From Distributed Sources
US20080110973 *Aug 30, 2007May 15, 2008Nathans Michael GSystem and method of credit data collection and verification
US20080154758 *Dec 21, 2006Jun 26, 2008Friedrich SchattmaierSystems and methods for maintaining credit information about an entity
US20080195425 *Apr 15, 2008Aug 14, 2008American Express Travel Related Services Co., Inc., A New York CorporationUsing Commercial Share of Wallet to Determine Insurance Risk
US20080195444 *Apr 15, 2008Aug 14, 2008American Express Travel Related Services Co., Inc. A New York CorporationUsing Commercial Share of Wallet to Rate Business Prospects
US20080195445 *Apr 15, 2008Aug 14, 2008American Express Travel Related Services Co., Inc. A New York CorporationUsing Commercial Share of Wallet to Manage Vendors
US20080235155 *Mar 19, 2007Sep 25, 2008Electronic Data Systems CorporationDetermining a Price Premium for a Project
US20080270294 *Oct 31, 2007Oct 30, 2008Lent Jeremy RMethod and Apparatus for a Verifiable On Line Rejection of an Applicant for Credit
US20090144160 *Feb 10, 2009Jun 4, 2009American Express Travel Related Services Company, Inc.Method and Apparatus for Estimating the Spend Capacity of Consumers
US20090144185 *Feb 10, 2009Jun 4, 2009American Express Travel Related Services Company, Inc.Method and Apparatus for Estimating the Spend Capacity of Consumers
US20090248518 *Jan 30, 2009Oct 1, 2009Fujitsu LimitedSales support apparatus, computer-readable recording medium having recorded therein sales support program, and sales support method
US20090287604 *May 16, 2008Nov 19, 2009Ayse KorgavDesktop alert with interactive bona fide dispute initiation through chat session facilitated by desktop application
US20100005027 *Sep 16, 2009Jan 7, 2010American Express Travel Related Services Company, Inc.System and method for assessing risk
US20100010861 *Jul 13, 2009Jan 14, 2010Collections Marketing Center, LlcMethod and system for providing a virtual collections call center system
US20100138338 *Sep 21, 2009Jun 3, 2010Ayman HammadIntelligent alert system and method
US20100223168 *May 10, 2010Sep 2, 2010American Express Travel Related Services Company, Inc.Method and appraratus for development and use of a credit score based on spend capacity
US20100268696 *Jul 20, 2009Oct 21, 2010Brad NightengaleAdvanced Warning
US20100274572 *Mar 9, 2010Oct 28, 2010Ayman HammadAlert architecture
US20100274739 *Jul 9, 2010Oct 28, 2010American Express Travel Related Services Company Inc.Using Commercial Share of Wallet To Rate Investments
US20100287250 *Apr 26, 2010Nov 11, 2010Mark CarlsonMerchant Alert Based System and Method Including Customer Presence Notification
US20100299249 *Apr 26, 2010Nov 25, 2010Mark CarlsonSku level control and alerts
US20100299388 *Apr 7, 2010Nov 25, 2010Bolnick David ASystem, method and computer program product for gathering and delivering personalized user information
US20100312717 *Jul 9, 2010Dec 9, 2010American Express Travel Related Services Company Inc.Using Commercial Share of Wallet in Private Equity Investments
US20110010217 *Jul 13, 2009Jan 13, 2011International Business Machines CorporationService Oriented Architecture Governance Using A Template
US20110022439 *Jul 22, 2009Jan 27, 2011International Business Machines CorporationSystem for managing events in a configuration of soa governance components
US20110082721 *Oct 2, 2009Apr 7, 2011International Business Machines CorporationAutomated reactive business processes
US20110087575 *Dec 13, 2010Apr 14, 2011Consumerinfo.Com, Inc.Personal finance integration system and method
US20110145122 *Feb 22, 2011Jun 16, 2011American Express Travel Related Services Company, Inc.Method and apparatus for consumer interaction based on spend capacity
US20130124392 *Jul 11, 2012May 16, 2013Venkat AchantaSystems and methods for large-scale credit data processing
US20130159168 *Jan 10, 2013Jun 20, 2013Scott L. EvansSystem and Method for Debt Presentment and Resolution
US20130179318 *Feb 12, 2013Jul 11, 2013Scott L. EvansSystem and Method for Debt Presentment and Resolution
US20130218752 *Mar 15, 2013Aug 22, 2013Paul PawlusiakSystem and method of expedited credit and loan processing
US20130226780 *Feb 23, 2012Aug 29, 2013American Express Travel Related Services Company, Inc.Systems and methods for identifying financial relationships
US20140025562 *Jul 17, 2013Jan 23, 2014Corelogic Solutions, Llc.Enhanced credit reporting system, method and computer program product
US20140156503 *Oct 24, 2013Jun 5, 2014Experian Information Solutions, Inc.Systems and methods for providing a customizable credit report
US20150066623 *Jun 6, 2014Mar 5, 2015Capital One Financial CorporationSystems and methods for providing flexible incentive rewards
US20150161726 *Dec 5, 2014Jun 11, 2015Paul PawlusiakSystem and method of expedited credit and loan processing
CN103827908A *Jul 11, 2012May 28, 2014益百利信息解决方案公司Systems and methods for a large-scale credit data processing architecture
EP1464018A1 *Sep 30, 2002Oct 6, 2004Equifax, Inc.System and method for facilitating reciprocative small business financial information exchanges
WO2013009920A1 *Jul 11, 2012Jan 17, 2013Experian Information Solutions, Inc.Systems and methods for a large-scale credit data processing architecture
WO2014055220A2 *Sep 13, 2013Apr 10, 2014Innovation Software, LlcCloud-based skip tracing application
WO2014055220A3 *Sep 13, 2013May 30, 2014Innovation Software, LlcCloud-based skip tracing application
WO2014137759A1 *Feb 27, 2014Sep 12, 2014Experian Information Solutions, Inc.Systems and methods for microfinance credit data processing and reporting
Classifications
U.S. Classification705/38, 705/30
International ClassificationG06Q40/00, G06Q20/40, G06Q20/04, G07F7/08
Cooperative ClassificationG07F7/08, G06Q20/04, G06Q40/00, G06Q20/403, G06Q40/02, G06Q40/025, G06Q40/12, G06Q20/4037
European ClassificationG06Q40/02, G06Q20/04, G06Q40/025, G06Q20/403, G06Q40/00, G06Q20/4037, G06Q40/10, G07F7/08
Legal Events
DateCodeEventDescription
Aug 25, 1998ASAssignment
Owner name: CONSUMER CREDIT ASSOCIATES, INC., TEXAS
Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:DUHON, ERIC M.;REEL/FRAME:009422/0960
Effective date: 19980713
Jan 25, 2002ASAssignment
Owner name: INNOVIS DATA SOLUTIONS, INC., OHIO
Free format text: CORRECTIVE TO COVERSHEET;ASSIGNOR:CONSUMER CREDIT ASSOCIATES, INC.;REEL/FRAME:012513/0131
Effective date: 19981012
Mar 22, 2005FPAYFee payment
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