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

A computer implemented method of developing a filter for thin-file records comprising:

• accessing, by a computer processor, a database storing a plurality of records, each of the records comprising demographic data fields and credit data fields;
• identifying, by a computer processor, a first subset of the plurality of records stored in the database, the first subset corresponding a first type comprising those records that include at least a minimum number of credit data entries;
• identifying, by a computer processor, a second subset of the plurality of records stored in the database, the second subset of records corresponding to a second type comprising those records that do not include at least the minimum number of credit data entries;
• determining, by a computer processor, demographic data fields that are correlated with the first type of records, the determining further comprising:
• identifying, by a computer processor, demographic characteristics that appear within the demographic data fields of the first type of records;
• and,
• associating, by a computer processor, a weight with each of the demographic characteristics, the weight being based at least in part on the correlation of the demographic characteristic with a likelihood of a record being the first type of records;
• developing, by a computer processor, a data record filter that predicts a likelihood of a record comprising demographic data fields being of the first type by at least comparing the demographic data fields of the record to the correlated demographic data fields;
• receiving, by a computer processor, a set of customer data comprising customer demographic data;
• and
• generating, by a computer processor, a score by at least,
• locating, by a computer processor, within the customer demographic data, demographic characteristics identified within the demographic data fields of the first type of records;
• assigning, by a computer processor, a value to each located demographic characteristic in accordance with the weight associated with the demographic characteristic;
• and
• combining, by a computer processor, the values assigned to the located demographic characteristics to generate the score,
• wherein the demographic data fields 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.

A computing system, comprising:

• a computer-readable storage comprising a database and storing a plurality of records, the plurality of records comprising demographic data and credit data, the records comprising thin-file records;
• a processor configured to access the plurality of thin-file records in the computer-readable storage and configured to filter the thin-file records according to whether the credit data in the thin-file records corresponds to a positive credit activity;
• a thin-file module configured to access the filtered thin-file records having credit data corresponding to a positive credit activity and determine demographic data that is correlated with the filtered thin-file records by at least,
• identifying demographic characteristics that appear within the demographic data of the filtered thin-file records;
• and
• associating a weight with each of the demographic characteristics, the weight being based at least in part on the correlation of the demographic characteristic with a likelihood of a record having credit data corresponding to a positive credit activity;
• a data record filter configured to predict a likelihood of thin-file records having credit data corresponding to a positive credit activity based at least in part on the correlated demographic data;
• and
• a communications link configured to receive a record of a thin-file customer comprising a set of customer demographic data associated with the thin-file customer,
• wherein the data record filter is further configured to generate a score corresponding to the likelihood of the record of the thin-file customer having credit data corresponding to a positive credit activity by at least,
• locating, within the set of customer demographic data, demographic characteristics identified within the demographic data of the filtered thin-file records;
• assigning a value to each located demographic characteristic in accordance with the weight associated with the demographic characteristic;
• and
• combining the values assigned to the located demographic characteristics to generate the score, and
• wherein the demographic data comprises 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.

A computer implemented method of generating a filter for determining a risk level associated with a thin-file record, comprising:

• accessing, by a computer processor, a database storing a plurality of thin-file records, the thin-file records comprising demographic data and credit data;
• monitoring, by a computer processor, the plurality of thin-file records in order to determine a status of each of the records based on the credit data of the record, the status indicating a credit risk;
• determining, by a computer processor, demographic data that is correlated with the status of each of the records, the determining further comprising:
• identifying, by a computer processor, demographic characteristics that appear within the demographic data of the thin-file records having credit data reflective of a credit risk;
• and
• associating, by a computer processor, a weight with each of the demographic characteristics, the weight being based at least in part on the correlation of the demographic characteristic with a likelihood of a record having credit data reflective of a credit risk;
• developing, by a computer processor, a data record filter that predicts the probable credit risk of a record based on the correlated demographic data;
• receiving, by a computer processor, a set of customer data associated with a thin-file customer, the customer data comprising customer demographic data corresponding to at least a portion of the correlated demographic data;
• and
• generating, by a computer processor, a score, the generating further comprising:
• locating, by a computer processor, within the customer demographic data, demographic characteristics identified within the demographic data of the thin-file records having credit data reflective of a credit risk;
• assigning, by a computer processor, a value to each located demographic characteristic in accordance with the weight associated with the demographic characteristic;
• and
• combining, by a computer processor, the values assigned to the located demographic characteristics to generate the score,
• wherein the demographic data comprises 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.

A computer implemented method for predicting the likelihood of a consumer having limited credit history, the method comprising:

• receiving, by a computer processor, a data record of a consumer, the data record comprising consumer demographic data;
• creating, by a computer processor, a data record filter that identifies a plurality of demographic characteristics in known thin-file records and a correlation for each of the plurality of demographic characteristics to a likelihood of a record being a thin-file record;
• generating, by a computer processor, a score indicating a likelihood of the data record of the consumer being a thin-file record by at least:
• locating, by a computer processor, within the consumer demographic data, demographic characteristics identified by the data record filter as present in the demographic data of known thin-file records;
• assigning, by a computer processor, a value to each located demographic characteristic in accordance with a weight associated with each of the demographic characteristics, the weight being based at least in part on the correlation of the demographic characteristic with a likelihood of a record being a thin-file record;
• combining, by a computer processor, the values assigned to the located demographic characteristics to generate the score,
• wherein the demographic data comprises 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.