SYSTEM AND METHOD FOR AUTOMATED DETECTION OF NEVER-PAY DATA SETS

• US 20080294540A1
• Filed: 05/22/2008
• Published: 11/27/2008
• Est. Priority Date: 05/25/2007
• Status: Abandoned Application

• Current Assignee: Experian Information Solutions Incorporated (Experian plc)
• Original Assignee: Experian Information Solutions Incorporated (Experian plc)
• Inventors: Rojas, Cristian R., Celka, Christopher J.
• Application Number:
  US12/125,820
• Publication Number:
  US 20080294540A1
• Time in Patent Office: Days
• US Class Current: 705/35
• CPC Class Codes: G06Q 20/10 specially adapted for electronic funds transfer [EFT] systems; specially adapted for home banking systems
• CPC Class Codes: G06Q 30/06 Buying, selling or leasing transactions
• CPC Class Codes: G06Q 40/00 Finance; Insurance; Tax strategies; Processing of corporate or income taxes
• CPC Class Codes: G06Q 40/03 Credit; Loans; Processing thereof

Abstract

Data filters, models, and/or profiles for identifying and/or predicting the never-pay population (for example, those customers that make a request for credit and obtain the credit instrument but over the life of the account, never make a payment) can be useful to various commercial entities, such as those issuing mortgages, home equity lines of credit, consumer or business lines of credit, automobile loans, credit card accounts, or those entities providing services, such as utility services, phone services, and the like.

Claims

1. A never-pay automated detection system, the system comprising:

a processor configure to run software modules;

a data storage device storing a plurality of consumer records comprising credit bureau data, tradeline data, historical balance data, and demographic data, the data storage device in electronic communication with the computer system; and

a never-pay module configured to;

identify a subset of the plurality of consumer records from the data storage device;

receive a first never-pay data profile from a storage repository, the first never-pay data profile identifying consumer records that are likely or substantially likely to never make a payment;

apply the first never-pay data profile to each of the subset of the plurality of consumer records to generate a first never-pay score for each of the subset of the plurality of consumer records; and

store in a database an aggregate never-pay score associated with the subset of the plurality of the consumer records, the aggregate never-pay score comprising at least the first never-pay score;

the processor able to run the never-pay module.

2. The never-pay automated detection system of claim 1, the never-pay module further configured to receive a second never-pay data profile from the storage repository, the second never-pay profile identifying consumer records that are likely or substantially likely to never make a payment, and apply the second never-pay profile to each of the subset of plurality of consumer records to generate a second never-pay score for each of the subset of plurality of consumer records to be included in the aggregate never-pay score.

3. The never-pay automated detection system of claim 2 the never-pay module further configured to receive a third never-pay data filter from the storage repository, the third never-pay profile identifying consumer records that are likely or substantially likely to never make a payment, and apply the third never-pay filter to each of the subset of plurality of consumer records to generate a third never pay score for each of the subset of plurality of consumer records to be included in the aggregate never-pay score.

4. The never-pay automated detection system of claim 1, the never-pay module further configured to electronically select the first never-pay data profile from a plurality of never-pay data profiles, the criteria being based at least in part on a customer selection based on price.

5. The never-pay automated detection system of claim 1, the never-pay module further configured to electronically select the first never-pay data profile from a plurality of never-pay data profiles, the criteria being based at least in part on a customer selection based on response speed.

6. A computer implemented method for maintaining a database comprising:

electronically identifying a plurality of consumer records, wherein the consumer records comprise credit bureau data, tradeline data, historical balance data, and demographic data;

electronically receiving a first never-pay data filter from a storage repository;

electronically applying the first never-pay data filter to each of the plurality consumer records to generate a first never pay score for each of the plurality of consumer records; and

electronically storing in a database an aggregate never-pay score associated with each of the consumer records, the aggregate never-pay score comprising at least the first never-pay score.

7. The computer implemented method of claim 6 further comprising electronically receiving a second never-pay data filter from the storage repository and electronically applying the second never-pay filter to each of the plurality of consumer records to generate a second never-pay score for each of the plurality of consumer records to be included in the aggregate never-pay score.

8. The computer implemented method of claim 7 further comprising electronically receiving a third never-pay data filter from the storage repository and electronically applying the third never-pay filter to each of the plurality of consumer records to generate a third never pay score for each of the plurality of consumer records to be included in the aggregate never-pay score.

9. The never-pay automated detection system of claim 6, further comprising a criteria for electronically retrieving the first never-pay data filter from a plurality of never-pay data filters, the criteria based at least in part on a selection by a customer based on price.

10. The never-pay automated detection system of claim 6, further comprising a criteria for electronically retrieving the first never-pay data filter from a plurality of never-pay data filters, the criteria being based at least in part on a selection by a customer based on response speed.

11. A storage medium having a computer program stored thereon for causing a suitably programmed system to process computer-program code by performing the method of claim 6 when such program is executed on the system.

12. A never-pay automated detection system, the system comprising:

a processor configured to run software modules;

a data storage device storing a plurality of credit data records, the data storage device in communication with the processor; and

a never-pay module configured to;

identify records in the data storage device that are defined as never-pay records which are likely to indicate consumers that are likely or substantially likely never to make a payment;

track the identified records over a time period; and

develop a first never-pay data profile that predicts the propensity of a consumer to be a never-pay record using the tracked identified records,

the processor able to run the never-pay module.

13. The never-pay automated detection system of claim 12, the never-pay module further configured to store the data profile in a data repository.

14. The never-pay automated detection system of claim 12, the data profile comprising a first party fraud attribute.

15. The never-pay automated detection system of claim 12, the data profile comprising a third party fraud attribute.

16. A computer implemented method of developing a data filter for automatically identifying never-pay database records comprising:

electronically identifying records of a database that are defined as never-pay records which are likely to indicate consumers that are likely or substantially likely never to make a payment;

electronically tracking the identified records over a time period; and

electronically developing a data filter that predicts the propensity of a consumer to be a never-pay record using the electronically tracked identified records.

17. The computer implemented method of claim 16 further comprising electronically storing the data filter in a data repository.

18. A storage medium having a computer program stored thereon for causing a suitably programmed system to process computer-program code by performing the method of claim 16 when such program is executed on the system.

19. The computer implemented method of claim 16, further comprising electronically applying the data filter to a selected consumer record to generate a never-pay score for the selected consumer record, the never-pay score being predictive of the consumer to be a never-pay record.

20. The computer implemented method of claim 19, further comprising electronically sending marketing material to a consumer linked to the never-pay score if the never-pay score is below a certain threshold.