1. A computer implemented method for modeling data comprising: retrieving by the computer a source list from each of a plurality of credit reporting agencies, each said source list comprising a list of selected consumers; merging by the computer each of the source lists into a merged source list; retrieving by the computer observation credit data from each of the plurality of credit reporting agencies for each consumer in the merged source list, wherein the observation credit data corresponds to a first date, and wherein the observation credit data represents a credit history for each consumer; retrieving by the computer performance credit data from each of the plurality of credit reporting agencies for each consumer in the merged source list, wherein the performance credit data corresponds to a second date, and wherein the performance credit data represents a credit history for each consumer; adding by the computer the observation credit data and the performance credit data to the merged source list; normalizing by the computer the observation credit data and the performance credit data across the plurality of credit reporting agencies, wherein normalizing the credit data comprises: (i) determining at least one characteristic of the credit data, each characteristic having a corresponding characteristic definition assigned by each of at least two of the plurality of credit reporting agencies; (ii) reviewing the at least one characteristic and its corresponding characteristic definitions, wherein the reviewing step is performed by at least two of the credit reporting agencies; (iii) auditing the at least one characteristic and its corresponding characteristic definitions, wherein the auditing step comprises determining similarities and differences between the characteristic definitions of the at least two respective credit reporting agencies; (iv) optionally modifying at least one characteristic definition wherein the modifying step is performed by at least one of the credit reporting agencies; and (v) optionally repeating steps (i), (ii), (iii), and (iv) until the characteristic definition from each of the respective credit reporting agencies provides substantially consistent results; and generating by the computer a modeling sample based on the normalized observation credit data and the normalized performance credit data.