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US 11,631,129 B1Granted
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.
Claims19
A computer-implemented method to generate an attribute from raw tradeline data stored in different formats by a plurality of credit data sources, the method 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;
- accessing raw tradeline data associated with a subset code data from each of the plurality of credit data sources;
- measuring a correlation between the accessed raw tradeline data and the obtained raw tradeline data for each of the plurality of credit data sources;
- and
- updating the subset of the code data from each of the plurality of credit data sources until the correlation measurement for each of the plurality of credit data sources meets at least one threshold;
- based on a determination that the correlation measurement meets the at least one threshold, identifying tradeline characteristics associated with the updated subset of the code data, wherein designating a first set of tradeline characteristics comprises:
- designating a plurality of lowest common denominators from the code data, wherein the lowest common denominators comprise a minimum set of overlapping codes associated with the plurality of credit data sources;
- using the raw tradeline data from each of the plurality of credit data sources to generate test tradeline data using selected characteristics;
- adjusting the selected characteristics based on a determination that at least one difference between the test tradeline data associated with the selected characteristics across each of the two or more of the plurality of credit data sources does not meet the at least one threshold;
- and
- repeating said using and adjusting until the selected characteristics generate a difference that meets the at least one threshold;
- and
- generating a leveled attribute using the identified tradeline characteristics.
10 more elements
A computing system for generating an attribute from raw tradeline data stored in different formats by a plurality of credit sources, the computer 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;
- accessing raw tradeline data associated with a subset code data from each of the plurality of credit data sources;
- measuring a correlation between the accessed raw tradeline data and the obtained raw tradeline data for each of the plurality of credit data sources;
- and
- updating the subset of the code data from each of the plurality of credit data sources until the correlation measurement for each of the plurality of credit data sources meets at least one threshold;
- based on a determination that the correlation measurement meets the at least one threshold, identifying tradeline characteristics associated with the updated subset of the code data, wherein designating a first set of tradeline characteristics comprises:
- designating a plurality of lowest common denominators from the code data, wherein the lowest common denominators comprise a minimum set of overlapping codes associated with the plurality of credit data sources;
- using the raw tradeline data from each of the plurality of credit data sources to generate test tradeline data using selected characteristics;
- adjusting the selected characteristics based on a determination that at least one difference between the test tradeline data associated with the selected characteristics across each of the two or more of the plurality of credit data sources does not meet the at least one threshold;
- and
- repeating said using and adjusting until the selected characteristics generate a difference that meets the at least one threshold;
- and
- generating a leveled attribute using the identified tradeline characteristics.
13 more elements
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 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;
- accessing raw tradeline data associated with a subset code data from each of the plurality of credit data sources;
- measuring a correlation between the accessed raw tradeline data and the obtained raw tradeline data for each of the plurality of credit data sources;
- and
- updating the subset of the code data from each of the plurality of credit data sources until the correlation measurement for each of the plurality of credit data sources meets at least one threshold;
- based on a determination that the correlation measurement meets the at least one threshold, identifying tradeline characteristics associated with the updated subset of the code data, wherein designating a first set of tradeline characteristics comprises:
- designating a plurality of lowest common denominators from the code data, wherein the lowest common denominators comprise a minimum set of overlapping codes associated with the plurality of credit data sources;
- using the raw tradeline data from each of the plurality of credit data sources to generate test tradeline data using selected characteristics;
- adjusting the selected characteristics based on a determination that at least one difference between the test tradeline data associated with the selected characteristics across each of the two or more of the plurality of credit data sources does not meet the at least one threshold;
- and
- repeating said using and adjusting until the selected characteristics generate a difference that meets the at least one threshold;
- and
- generating a leveled attribute using the identified tradeline characteristics.
10 more elements
Dependencies are inferred from the claim text.