System and method for generating a finance attribute from tradeline data
AssigneeExperian Information Solutions, Inc.
InventorsLuz M. Torrez, Adam Thomas Kornegay
Life of this patent
Estimating the term…
Abstract
Embodiments of a system and method are described for generating a finance attribute. In one embodiment, the systems and methods retrieve raw tradeline data from a plurality of credit bureaus, retrieve industry code data related to each of the plurality of credit bureaus, determine one or more tradeline leveling characteristics that meet at least one pre-determined threshold, and generate a finance attribute using the selected leveling characteristics.
Claims20
A computer-implemented method to generate a leveled attribute, the method comprising:
- electronically obtaining raw tradeline data from each of a plurality of credit data sources, wherein the raw tradeline data is stored in different formats by the plurality of credit data sources;
- accessing raw tradeline data associated with a subset of code data from each of the plurality of credit data sources;
- designating a plurality of lowest common denominators from the subset of the code data as selected characteristics, wherein the plurality of lowest common denominators comprise a minimum set of overlapping codes associated with the plurality of credit data sources;
- using the accessed raw tradeline data from each of the plurality of credit data sources to generate test tradeline data using the selected characteristics;
- measuring a correlation between the accessed raw tradeline data and the generated test tradeline data for each of the plurality of credit data sources;
- based on a determination that the correlation measurement meets the at least one threshold, identifying tradeline characteristics associated with the subset of the code data;
- and
- generating the leveled attribute using the identified tradeline characteristics.
A computing system to generate a leveled attribute, the computing system comprising:
- a memory;
- and
- a processor in communication with the memory and configured with processor-executable instructions to perform operations comprising:
- electronically obtaining raw tradeline data from each of a plurality of credit data sources over a network that is configured to communicate with the plurality of credit data sources, wherein the raw tradeline data is stored in different formats by the plurality of credit data sources;
- electronically obtaining raw tradeline data from each of a plurality of credit data sources, wherein the raw tradeline data is stored in different formats by the plurality of credit data sources;
- accessing raw tradeline data associated with a subset of code data from each of the plurality of credit data sources;
- designating a plurality of lowest common denominators from the subset of the code data as selected characteristics, wherein the plurality of lowest common denominators comprise a minimum set of overlapping codes associated with the plurality of credit data sources;
- using the accessed raw tradeline data from each of the plurality of credit data sources to generate test tradeline data using the selected characteristics;
- measuring a correlation between the accessed raw tradeline data and the generated test tradeline data for each of the plurality of credit data sources;
- based on a determination that the correlation measurement meets the at least one threshold, identifying tradeline characteristics associated with the subset of the code data;
- and
- generating the leveled attribute using the identified tradeline characteristics.
A non-transitory computer readable medium storing computer-executable instructions that, when executed by one or more computer systems, configure the one or more computer systems to perform operations comprising:
- electronically obtaining raw tradeline data from each of a plurality of credit data sources, wherein the raw tradeline data is stored in different formats by the plurality of credit data sources;
- accessing raw tradeline data associated with a subset of code data from each of the plurality of credit data sources;
- designating a plurality of lowest common denominators from the subset of the code data as selected characteristics, wherein the plurality of lowest common denominators comprise a minimum set of overlapping codes associated with the plurality of credit data sources;
- using the accessed raw tradeline data from each of the plurality of credit data sources to generate test tradeline data using the selected characteristics;
- measuring a correlation between the accessed raw tradeline data and the generated test tradeline data for each of the plurality of credit data sources;
- based on a determination that the correlation measurement meets the at least one threshold, identifying tradeline characteristics associated with the subset of the code data;
- and
- generating the leveled attribute using the identified tradeline characteristics.
Dependencies are inferred from the claim text.