System and method for generating a finance attribute from tradeline data
First Claim
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1. A computer implemented method for generating an attribute from raw tradeline data from a plurality of credit data sources, the method comprising:
- retrieving, with an attribute generation system, raw tradeline data from each of a plurality of credit data sources, wherein each of the plurality of credit data sources comprises a first subset of data and a second subset of data, and wherein the raw tradeline data is retrieved from the respective second subsets;
retrieving industry code data related to the second subsets of data from each of the plurality of credit data sources;
determining one or more tradeline characteristics associated with a subset of the retrieved industry code data to select as leveling characteristics for the second subsets of data, wherein the leveling characteristics are configured to yield substantially consistent tradeline data across the plurality of credit sources;
measuring a difference between the tradeline data from the second subsets across the plurality of credit sources using the selected leveling characteristics;
determining that the difference meets at least one predefined threshold; and
generating a leveled attribute for the second subsets of data using the selected leveling characteristics,wherein the attribute generation system comprises a computer processor and an electronic memory storage.
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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.
471 Citations
19 Claims
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1. A computer implemented method for generating an attribute from raw tradeline data from a plurality of credit data sources, the method comprising:
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retrieving, with an attribute generation system, raw tradeline data from each of a plurality of credit data sources, wherein each of the plurality of credit data sources comprises a first subset of data and a second subset of data, and wherein the raw tradeline data is retrieved from the respective second subsets; retrieving industry code data related to the second subsets of data from each of the plurality of credit data sources; determining one or more tradeline characteristics associated with a subset of the retrieved industry code data to select as leveling characteristics for the second subsets of data, wherein the leveling characteristics are configured to yield substantially consistent tradeline data across the plurality of credit sources; measuring a difference between the tradeline data from the second subsets across the plurality of credit sources using the selected leveling characteristics; determining that the difference meets at least one predefined threshold; and generating a leveled attribute for the second subsets of data using the selected leveling characteristics, wherein the attribute generation system comprises a computer processor and an electronic memory storage. - View Dependent Claims (2, 3, 4, 5, 6, 17, 18, 19)
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7. A computing system comprising:
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a computing device including a processor; a communications memory device in communication with the computing device, the communications memory device comprising instructions configured to receive raw tradeline data related to a plurality of credit data sources and to receive industry code data related to each of the plurality of credit data sources; an attribute generation memory device in communication with the computing device, the attribute generation memory device comprising instructions configured to; receive raw tradeline data from each of the plurality of credit data sources via the communications memory device comprising instructions, wherein each of the plurality of credit data sources comprises a first subset of data and a second subset of data, and wherein the raw tradeline data is retrieved from the respective second subsets; receive industry code data related to the second subsets of data from each of the plurality of credit data sources via the communications memory device comprising instructions, determine one or more tradeline characteristics associated with a subset of the retrieved industry code data to select as leveling characteristics for the second subsets of data, wherein the leveling characteristics are configured to yield substantially consistent tradeline data across the plurality of credit sources, measure a difference between the tradeline data from the second subsets across the plurality of credit sources using the selected leveling characteristics, determine that the difference meets at least one predefined threshold, and generate a leveled attribute for the second subsets of data using the selected leveling characteristics. - View Dependent Claims (8, 9, 10, 11, 12, 13, 14, 15, 16)
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Specification