Systems and methods for identifying financial relationships

• US 8,538,869 B1
• Filed: 02/23/2012
• Issued: 09/17/2013
• Est. Priority Date: 02/23/2012
• Status: Active Grant

• Current Assignee: American Express Travel Related Services Company, Inc. (American Express Company)
• Original Assignee: American Express Travel Related Services Company, Inc. (American Express Company)
• Inventors: Haggerty, Kathleen, Varadachary, Venkat
• Primary Examiner(s): Patel, Jagdish
• Application Number:
  US13/403,736
• Publication Number:
  US 20130226781A1
• Time in Patent Office: 572 Days
• Field of Search: 705/35, 705/38
• US Class Current: 705/38
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 40/02 Banking, e.g. interest calculation or account maintenance credit or loans G06Q40/03
• CPC Class Codes: G06Q 40/06 Asset management; Financial planning or analysis

Abstract

Improved systems and methods are provided for identifying financial relationships. In particular, financial relationships may be identified by associating tradelines with one or more people who sign or co-sign on the tradeline. In various embodiments a method is provided comprising, receiving, at a computer-based system for credit data analysis comprising a processor and a tangible, non-transitory memory, credit reporting data relating to a tradeline, parsing, by the computer-based system, the credit reporting data to yield primary debtor data and secondary debtor data, and linking, by the computer-based system, the tradeline with the primary debtor data and the secondary debtor data.

Claims

1. A method comprising:

receiving, at a computer-based system for credit data analysis comprising a processor and a tangible, non-transitory memory, credit reporting data relating to a tradeline, wherein the credit reporting data is encapsulated in a Metro 2 format container;

parsing, by the computer-based system, the credit reporting data to yield primary debtor data and secondary debtor data wherein the parsing is performed on at least one of a J1 segment, a J2 segment, and a Base segment of the Metro 2 format container;

linking, by the computer-based system, the tradeline with the primary debtor data and the secondary debtor data, wherein the linking comprises updating a first record relating to the primary debtor and a second record relating to the secondary debtor.

2. The method of claim 1, wherein the first record and the second record reside in a data store containing credit bureau data.

3. The method of claim 1, further comprising querying the data store for at least one of the number of individual tradelines of at least one of the primary debtor and the secondary debtor.

4. The method of claim 3, further comprising querying the data store for tradelines associated with the primary debtor and the secondary debtor to yield a household tradeline data set.

5. The method of claim 4, further comprising identifying at least one of the number of joint trades in the household tradeline data set.

6. A method comprising:

identifying, by a computer-based system for credit data analysis comprising a processor and a tangible, non-transitory memory, tradeline data associated with a primary debtor in a data store containing credit bureau data, wherein the tradeline data is associated with a tradeline;

combining, by the computer-based system, a subset of the tradeline data using a fingerprinting function to yield a tradeline fingerprint;

querying, by the computer-based system, the data store for the tradeline fingerprint to retrieve a secondary debtor associated with the tradeline fingerprint.

7. The method of claim 6, further comprising receiving credit reporting data relating to a tradeline, wherein the credit reporting data is encapsulated in a Metro 2 format container.

8. The method of claim 7, further comprising storing a record associating the secondary debtor to the tradeline data.

9. The method of claim 8, further comprising parsing the credit reporting data to obtain the primary debtor and the secondary debtor.

10. The method of claim 9, further comprising confirming the association of the primary debtor and the secondary debtor using the credit reporting data.

11. The method of claim 8, wherein the parsing the credit reporting data comprises parsing at least one of the J1 segment and the J2 segment.

12. The method of claim 8, wherein the parsing the credit reporting data comprises parsing a Base segment.

13. A system for credit data analysis, the system comprising:

a non-transitory memory communicating with a processor for credit data analysis, the non-transitory memory having instructions stored thereon that, in response to execution by the processor, cause the processor to perform operations comprising;

receiving, at the processor, credit reporting data relating to a tradeline, wherein the credit reporting data is encapsulated in a Metro 2 format container;

parsing, by the processor, the credit reporting data to yield primary debtor data and secondary debtor data, wherein the parsing is performed on at least one of a J1 segment, a J2 segment, and a Base segment of the Metro 2 format container;

linking, by the processor, the tradeline with the primary debtor data and the secondary debtor data, wherein the linking comprises updating a first record relating to the primary debtor and a second record relating to the secondary debtor.

14. The system of claim 13, wherein the first record and the second record reside in a data store containing credit bureau data.

15. The system of claim 13, further comprising querying the data store for at least one of the number of individual tradelines of at least one of the primary debtor and the secondary debtor.