System and method for generating a finance attribute from tradeline data

• US 8,315,943 B2
• Filed: 10/05/2011
• Issued: 11/20/2012
• Est. Priority Date: 10/05/2006
• Status: Active Grant

• Current Assignee: Experian Information Solutions Incorporated (Experian plc)
• Original Assignee: Experian Information Solutions Incorporated (Experian plc)
• Inventors: Torrez, Luz M., Kornegay, Adam Thomas
• Primary Examiner(s): Hamilton, Lalita M
• Assistant Examiner(s): Chang, Edward
• Application Number:
  US13/253,776
• Publication Number:
  US 20120116950A1
• Time in Patent Office: 412 Days
• Field of Search: 705/38
• US Class Current: 705/38
• CPC Class Codes: G06F 16/254 Extract, transform and load [ETL] procedures, e.g. ETL data flows in data warehouses
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 40/03 Credit; Loans; Processing thereof

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.

Claims

1. A computer implemented method for generating an attribute from raw tradeline data from a plurality of credit bureaus, the method comprising:

accessing raw tradeline data from each of the plurality of credit bureaus;

retrieving classification codes related to respective credit bureaus, the classification codes being used to identify a source type of respective raw tradeline data, wherein at least some of the classification codes are in a unique format for respective credit bureaus;

designating a set of classification codes as one or more tradeline leveling characteristics to select a portion of the raw tradeline data from each of the credit bureaus;

selecting a portion of the raw tradeline data based on a minimum overlap in the classification codes for each of the plurality of credit bureaus;

applying the one or more tradeline leveling characteristics to the portion of the raw tradeline data to select a subset of the portion of the raw tradeline data to generate respective leveled tradeline data indicating quantities of persons who meet a condition indicated by the respective leveled tradeline data;

determining if the respective leveled tradeline data meets a pre-defined correlation threshold, the determining comprising measuring correlations in the leveled tradeline data; and

adjusting at least one of the tradeline leveling characteristics in response to determining that the correlations fail to meet the pre-defined correlation threshold, the adjusting comprising at least one of;

(1) removing one or more of the classification codes included in the designated set of classification codes or (2) including additional classification codes for at least one of the credit bureaus not included in the designated set of classification codes; and

generating an attribute using the adjusted tradeline leveling characteristics, the attribute indicating a quantity of persons who meet the condition,

wherein the method is performed by a computing system that comprises one or more computing devices.

2. The computer implemented method of claim 1 further comprising:

excluding extraneous tradeline data from the leveled tradeline data.

3. The computer implemented method of claim 1 wherein the classification codes include industry code identifiers.

4. The computer implemented method of claim 1 further comprising applying the attribute to individual finance data.

5. A non-transitory storage medium having a computer program stored thereon, the computer program comprising computer-program code for causing a suitably configured computing system to perform the following when the computer program is executed on the system:

accessing raw tradeline data from respective credit bureaus;

retrieving classification codes related to each of the plurality of credit bureaus, the classification codes being used to identify a source type of respective raw tradeline data, wherein at least some of the classification codes are in a unique format for each of the credit bureaus;

designating a set of classification codes as one or more tradeline leveling characteristics to select a portion of the raw tradeline data from each of the credit bureaus

selecting a portion of the raw tradeline data based on a minimum overlap in the classification codes for each of the plurality of credit bureaus;

applying the one or more tradeline leveling characteristics to the portion of the raw tradeline data to generate respective leveled tradeline data indicating quantities of persons who meet a condition indicated by the respective leveled tradeline data;

determining if the respective leveled tradeline data meets a pre-defined correlation threshold, the determining comprising measuring the correlations in the leveled tradeline data; and

adjusting at least one of the selected tradeline leveling characteristics in response to determining that the correlations fail to meet the pre-defined correlation threshold, the adjusting comprising at least one of;

(1) removing one or more of the classification codes included in the designated set of classification codes or (2) including additional classification codes for at least one of the credit bureaus not included in the designated set of classification codes; and

generating an attribute using the adjusted tradeline leveling characteristics, the attribute indicating a quantity of persons who meet the condition.

6. A computing system comprising:

a computerized system comprising one or more computing devices configured to execute one or more modules comprising;

a communications module configured to access raw tradeline related to a plurality of credit bureaus and to retrieve classification codes related to respective credit bureaus, the classification codes being used to identify a source type of the raw tradeline data, wherein at least some of the classification codes are in a unique format for respective credit bureaus;

an attribute generation module configured to;

designate a set of classification codes as one or more tradeline leveling characteristics to select a portion of the raw tradeline data from each of the credit bureaus;

select a portion of the raw tradeline data based on a minimum overlap in the classification codes for each of the plurality of credit bureaus;

apply the one or more tradeline leveling characteristics to the portion of the raw tradeline data to select a subset of the portion of the raw tradeline data to generate respective leveled tradeline data indicating quantities of persons who meet a condition indicated by the respective leveled tradeline data;

determine if the respective leveled tradeline data meets a pre-defined correlation threshold, by measuring the correlations in the leveled tradeline data; and

adjust at least one of the tradeline leveling characteristics in response to determining that the correlations fail to meet the pre-defined correlation threshold, the adjusting comprising at least one of;

(1) removing on or more of the classification codes included in the designated set of classification codes or (2) including additional classification codes for at least one of the credit bureaus not included in the designated set of classification code; and

generate an attribute using the adjusted tradeline leveling characteristics, the attribute indicating a quantity of persons who meet the condition, and

a processor module configured to execute the attribute generation module.

7. The computing system of claim 6 wherein the attribute generation module is further configured to designate a set of classification codes as one or more tradeline leveling characteristics by:

excluding extraneous tradeline data from the leveled tradeline data;

repeating said selecting, excluding, applying, determining, and adjusting until the leveled tradeline data derived from the portion of the raw tradeline data meets the pre-defined correlation threshold.

8. The computing system of claim 6 wherein the raw tradeline data is received from at least an internal credit database.

9. The computing system of claim 6 wherein the raw tradeline data is received from at least an external credit database.

10. The computing system of claim 6 wherein the classification codes includes industry code identifiers.

11. The computing system of claim 6 wherein the selected tradeline leveling characteristics relate to finance data.

12. The computing system of claim 6 wherein the attribute generation module is further configured to apply the attribute to individual finance data.