Patent ID: 7974919

Claim:
A computer-implemented method for leveling credit characteristics for use in a multi-credit reporting agency scoring model comprising: (a) retrieving by a computer a credit data profile for at least one consumer; (b) generating by the computer a set of credit characteristics; (c) retrieving by the computer a respective characteristic definition for each credit characteristic in the set of credit characteristics; (d) reviewing by the computer the set of credit characteristics and respective characteristic definitions; (e) applying by the computer the respective characteristic definitions to each of the retrieved credit data profiles, generating audit statistics; (f) auditing by the computer the audit statistics; wherein one or more of steps (a)-(d) are performed by at least two of a plurality of credit report agencies; (g) generating by the computer a normalized set of credit characteristics and characteristic definitions from the set of credit characteristics and respective characteristic definitions; and (h) applying by the computer the normalized set of credit characteristics and characteristic definitions to a multi-credit reporting agency scoring model, the multi-credit reporting agency scoring model comprising: retrieving a source list from each of a plurality of credit reporting agencies, each said source list comprising a list of selected consumers; merging each of the source lists into a merged source list; retrieving credit data from each of the plurality of credit reporting agencies for each consumer in the merged source list; adding the retrieved credit data to the merged source list; and generating a modeling sample based on the normalized credit data.