SYSTEM AND METHOD FOR AUTOMATED DETECTION OF NEVER-PAY DATA SETS
First Claim
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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.
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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.
293 Citations
20 Claims
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1. A never-pay automated detection system, the system comprising:
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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. - View Dependent Claims (2, 3, 4, 5)
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6. A computer implemented method for maintaining a database comprising:
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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. - View Dependent Claims (7, 8, 9, 10, 11)
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12. A never-pay automated detection system, the system comprising:
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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. - View Dependent Claims (13, 14, 15)
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16. A computer implemented method of developing a data filter for automatically identifying never-pay database records comprising:
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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. - View Dependent Claims (17, 18, 19, 20)
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Specification