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Systems and methods for determining thin-file records and determining thin-file risk levels

  • US 8,024,264 B2
  • Filed: 06/17/2010
  • Issued: 09/20/2011
  • Est. Priority Date: 04/12/2007
  • Status: Active Grant
First Claim
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1. A system, comprising:

  • a computer-readable storage storing a plurality of records, the plurality of records comprising demographic data and credit data; and

    a computing system, comprising a processor, that is configured to;

    access, in the computer-readable storage, data records that include less than a minimum number of credit data entries;

    determine demographic characteristics correlated with the accessed data records by at least,identifying demographic characteristics that appear within the demographic data of the accessed data records; and

    assigning a correlation value to each of the demographic characteristics, the correlation value being based at least in part on the correlation of the demographic characteristic to a likelihood of an associated record being a thin-file record with minimal or no credit entries; and

    predict a likelihood that a record will include less than the minimum number of credit data entries, the prediction based at least on;

    a comparison of demographic characteristics associated with the record to the identified demographic characteristics; and

    at least one correlation value assigned to one of the identified demographic characteristics,wherein the computing system is further configured to generate a score corresponding to the predicted likelihood of the record having less than the minimum number of credit data entries by at least one of;

    locating, within the demographic characteristics associated with the record, the demographic characteristics already identified in the data records that include less than a minimum number of credit data entries;

    assigning a weighted value to each located demographic characteristic in accordance with the correlation value assigned with the demographic characteristic; and

    combining the weighted values to generate the score,wherein the demographic characteristics comprise one or more of the following;

    residence address data;

    age data;

    household data;

    marital status data;

    delinquent data for consumers in a geographic area; and

    data related to length of residency.

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