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System and method for generating a finance attribute from tradeline data

  • US 10,121,194 B1
  • Filed: 12/22/2016
  • Issued: 11/06/2018
  • Est. Priority Date: 10/05/2006
  • Status: Active Grant
First Claim
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1. A computer-implemented method for generating an attribute from raw tradeline data stored in different formats by a plurality of credit data sources, the method comprising:

  • providing a computer system comprising a plurality of computing devices, the computer system in electronic communication with a network and comprising;

    at least a first credit data warehouse storing raw tradeline data for at least a large plurality of consumers, the raw tradeline data categorized using a first set of tradeline category codes;

    a network interface configured to electronically communicate via the network with a second credit data warehouse storing raw tradeline data for at least the large plurality of consumers, the raw tradeline data categorized using a second set of tradeline category codes,wherein the first set of tradeline category codes have at least a degree of commonality with the second set of tradeline category codes, but at least a subset of the second set of tradeline category codes is different from the first set of tradeline category codes, the second credit data warehouse is independent and different from the first credit data warehouse, and the first credit data warehouse and the second credit data warehouse electronically store at least a portion of the raw tradeline data in different formats, wherein the different formats comprise one or more differences in the first set of tradeline category codes and the second set of tradeline category codes,the network interface further configured to electronically communicate with a plurality of client user devices to access raw tradeline data of the first credit data warehouse and the second credit data warehouse; and

    an attribute leveling server generating leveled attributes and electronically delivering the leveled attributes to the plurality of client user devices via the network interface, the attribute leveling server comprising one or more processors which when programmed carry out instructions including;

    accessing, via the one or more processors, first raw tradeline data from the first credit data warehouse;

    accessing, via the one or more processors, second raw tradeline data from the second credit data warehouse;

    accessing, via the one or more processors, the respective first tradeline category codes and second tradeline category codes;

    applying a software module comprising an iterative mathematical or logical operation to the first raw tradeline data and the second raw tradeline data, via the one or more processors, to automatically determine one or more electronic tradeline characteristics associated with the respective first tradeline category codes and second tradeline category codes to select as leveling characteristics for the first raw tradeline data and the second raw tradeline data, wherein the leveling characteristics are configured to yield substantially consistent tradeline data when applied to raw tradeline data from the first credit data warehouse and raw tradeline data from the second credit data warehouse, wherein the mathematical or logical operation comprises;

    selecting a first set of the first tradeline category codes and a second set of the second tradeline category codes wherein the first set and the second set have a degree of commonality and are potential leveling characteristics;

    accessing first raw tradeline data associated with the first set and second raw tradeline data associated with the second set;

    measuring a correlation among the retrieved first raw tradeline data and second raw tradeline data;

    determining whether the correlation meets at least one predefined threshold;

    if the correlation does not meet the at least one predefined threshold, 

    updating the first set or the second set to include different first tradeline category codes or different second tradeline category codes than were previously in the first set or the second set, wherein the updated first set or second set have an equal or lesser degree of commonality than before; and



    iteratively performing the accessing, measuring, and determining; and

    if the correlation meets the at least one predefined threshold,generating, via the one or more processors, a leveled attribute for the first raw tradeline data and the second raw tradeline data using the first set and the second set; and

    generating, via the one or more processors, an electronic attribute data structure which stores an electronic indication of the leveled attribute.

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