PRECALCULATION OF TRENDING ATTRIBUTES

• US 20090271248A1
• Filed: 03/27/2009
• Published: 10/29/2009
• Est. Priority Date: 03/27/2008
• Status: Abandoned Application

• Current Assignee: Experian Information Solutions Incorporated (Experian plc)
• Original Assignee: Experian Information Solutions Incorporated (Experian plc)
• Inventors: Sherman, Renae A., Granger, Angela R.
• Application Number:
  US12/413,278
• Publication Number:
  US 20090271248A1
• Time in Patent Office: Days
• US Class Current: 705/10
• CPC Class Codes: G06Q 40/00 Finance; Insurance; Tax strategies; Processing of corporate or income taxes
• CPC Class Codes: G06Q 40/02 Banking, e.g. interest calculation or account maintenance credit or loans G06Q40/03

Abstract

A credit attribute delivery system receives consumer financial data and generates trending attributes. The trending attributes are stored in a precalculated trending attribute database. The credit attribute delivery system may respond to a request for consumer trending attributes in a real time manner by accessing and providing the trending attributes stored in the precalculated trending attribute database.

Claims

1. A computerized method of providing indications of consumer behaviors with respect to credit accounts associated with the consumers to requesting business entities, the method configured for execution on a computing system comprising one or more computing devices, the method comprising:

determining by the computing system one or more attributes associated with each of a plurality of respective consumers based on credit data associated with respective consumers and one or more trending models that are applied to credit data associated with respective consumers, wherein each attribute is indicative of one or more credit-related transaction of the respective consumers;

storing on a physical storage device indications of the determined attributes for each of the respective consumers;

receiving from a business entity computing device a request for respective behavior indications associated with only a subset of the plurality of consumers, wherein the request includes at least a name and address for each of one or more consumers for which behavior indications are requested;

determining by the computing system at least one behavior indication for each of the subset of consumers based on at least some of the determined attributes associated with the respective consumers, wherein the behavior indication indicates whether respective consumers are more likely to use credit as one or more of a rate surfer, a revolver, or a transactor; and

transmitting to the requesting business entity computing device at least some of the attributes and the determined behavior indications for respective of the subset of consumers, wherein the process of receiving, determining, and transmitting is performed substantially real-time.

2. The method of claim 1, wherein the subset of the plurality of consumer consists of one consumer.

3. The method of claim 1, wherein the subset of the plurality of consumer comprises a plurality of customers of the business entity and/or potential customers of the business entity.

4. The method of claim 1, further comprising:

generating a user interface comprising one or more of the determined attributes for the subset of consumers.

5. The method of claim 1, further comprising:

generating one or more of a comma separated values, extendible markup language, spreadsheet, or database file comprising indications of the determined attributes for the subset of consumers.

6. A computing system configured to determine credit trending attributes for transmission to a client device, wherein the credit trending attributes are each indicative of at least one credit-related transaction of respective consumers and the credit trending attributes are predictive of future credit behavior of each of the plurality of respective consumers, the computing system comprising:

a processor configured to execute one or more modules;

an interface to a network of computing devices;

a trending module configured for execution by the processor in order to generate one or more trending attributes for each of a plurality of consumers by applying one or more respective trending models to credit data corresponding to respective consumers;

a precalculated trending attribute data structure configured to store the one or more trending attributes associated with respective consumers, the precalculated trending attribute data structure comprising an interface module configured to intermittently receive requests for trending attributes from various business entities and, in response to those requests

identify one or more stored trending attributes in the precalculated trending attribute data structure associated with each respective consumer identified by a requesting business entity; and

transmit indications of the stored trending attributes to the requesting business entity, wherein the identifying and transmitting is performed substantially realtime.

7. The computing system of claim 6, wherein the computing system is further configured to determining at least one behavior indication for each of the consumers identified by a requesting business entity based on at least some of the trending attributes associated with the respective consumers, wherein the behavior indication indicates whether respective consumers are more likely to use credit as one or more of a rate surfer, a revolver, or a transactor

8. The computing system of claim 6, wherein certain of the trending models determine attributes based on data regarding debit accounts.

9. A computerized method of providing indications of consumer behaviors with respect to financial accounts associated with the consumers, the method configured for execution on a computing system comprising one or more computing devices, the method comprising:

determining one or more attributes associated with each of a plurality of respective consumers based on trending models that are applied to financial data associated with respective consumers;

storing on a physical storage device indications of the determined attributes for each of the respective consumers;

receiving a request for attributes associated with only a subset of the plurality of consumers, wherein the request includes at least a name and address for each of one or more consumers for which behavior indications are requested; and

transmitting at least some of the attributes associated with respective of the subset of consumers, wherein the process of receiving and transmitting is performed substantially real-time.

10. The computerized method of claim 9, wherein financial data comprises one or more of credit data, credit-related data, debit data, debit-related data, loan data, demographic data, and/or publicly available data.

11. The computerized method of claim 9, further comprising:

determining at least one behavior indication for each of the subset of consumers based on at least some of the determined attributes associated with the respective consumers.

12. The computerized method of claim 11, wherein each behavior indication indicates whether respective consumers are more likely to use credit as one or more of a rate surfer, a revolver, or a transactor.

13. The computerized method of claim 9, wherein the request includes an indication of particular attributes to be returned to a requesting entity.

14. The computerized method of claim 9, wherein the request includes an indication that attributes associated with one or more indicated behaviors are to be returned to a requesting entity.

15. The computerized method of claim 9, further comprising:

generating a user interface configured for transmission to a requesting entity and for receiving at least the name and address of the subset of consumers.

16. The computerized method of claim 9, further comprising:

generating a user interface configured for transmission to a requesting entity, the user interface comprising one or more of the determined attributes for the subset of consumers.

17. The computerized method of claim 9, wherein the transmitted attributes are included in a file that is configured for analysis by one or more software applications of a requesting entity.

18. The computerized method of claim 9, wherein the attributes are configured to allow evaluation of trends in the consumers'"'"' respective credit behavior over a period of time.

19. The computerized method of claim 9, wherein the transmitted attributes are transmitted to a requesting entity, wherein the requesting entity is selected from the group comprising:

a lender, a bank, a credit bureau, a marketer, a retailer, a wholesaler, a business, and/or an individual.

20. A computer readable medium storing software code configured for execution by a computing device having one or more processors, wherein the software code is configured to cause the computing device to identify and transmit precalculated trending attributes indicative of past credit-related behaviors of consumers to a requesting business entity in a substantially real-time manner, the method comprising:

receiving a request for trending attributes associated with a plurality of consumers, wherein the request includes at least a name and address for each of one or more consumers for which behavior indications are requested;

identifying precalculated trending attributes associated with respective of the plurality of consumers as stored in at least one precalculated trending attributes data store; and

transmitting at least some of the identified trending attributes to a requesting entity, wherein the process of identifying and transmitting is performed substantially real-time.