Systems and methods for identifying financial relationships

• US 8,442,886 B1
• Filed: 02/23/2012
• Issued: 05/14/2013
• 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:
  US13/403,746
• Time in Patent Office: 446 Days
• Field of Search: 705/35, 705/37
• US Class Current: 705/35
• CPC Class Codes: G06Q 40/00 Finance; Insurance; Tax strategies; Processing of corporate or income taxes

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;

parsing, by the computer-based system, the credit reporting data to yield primary debtor data and secondary debtor data;

linking, by the computer-based system, the tradeline with the primary debtor data and the secondary debtor data; and

querying, by the computer-based system, a data store containing credit bureau data for a physical address associated with the primary debtor and a physical address associated with the secondary debtor; and

determining, by the computer-based system, that the primary debtor and the secondary debtor reside at the different physical addresses.

2. The method of claim 1, further comprising marketing to the secondary debtor.

3. The method of claim 2, wherein the marketing is distributed to the primary debtor.

4. The method of claim 1, further comprising marketing to the secondary debtor wherein the marketing is based upon demographic data associated with the physical address of the secondary debtor.

5. The method of claim 1, further comprising marketing to the primary debtor wherein the marketing is based upon demographic data associated with the physical address of the primary debtor.

6. The method of claim 1, further comprising obtaining internal data relating to the primary debtor and the secondary debtor.

7. The method of claim 6, further comprising obtaining internal data relating to the primary debtor and the secondary debtor.

8. The method of claim 7, further comprising analyzing the internal data to determine the spending patterns of the secondary debtor.

9. The method of claim 8, further comprising querying the data store for tradeline data associated with at least one of the primary debtor and the secondary debtor to yield household tradeline data.

10. The method of claim 9, further comprising identifying an installment tradeline in the household tradeline data.

11. 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;

parsing, by the computer-based system, the credit reporting data to yield primary debtor data and secondary debtor data, wherein the primary debtor data identifies a primary debtor and wherein the secondary debtor data identifies a secondary debtor, and wherein a debtor entity comprises the primary debtor and the secondary debtor;

linking, by the computer-based system, the tradeline with the primary debtor data and the secondary debtor data, wherein the linking causes the tradeline to be associated with the primary debtor and the secondary debtor;

querying, by the computer-based system, a data store containing credit bureau data for a physical address associated with the primary debtor and a physical address associated with the secondary debtor; and

determining, by the computer-based system, that the primary debtor and the secondary debtor reside at the different physical addresses.

12. The method of claim 11, further comprising marketing to the secondary debtor.

13. The method of claim 12, wherein the marketing is distributed to the primary debtor.

14. The method of claim 11, further comprising marketing to the secondary debtor wherein the marketing is based upon demographic data associated with the physical address of the secondary debtor.

15. The method of claim 11, further comprising marketing to the primary debtor wherein the marketing is based upon demographic data associated with the physical address of the primary debtor.

16. The method of claim 11, further comprising obtaining internal data relating to the primary debtor and the secondary debtor.

17. The method of claim 16, further comprising obtaining internal data relating to the primary debtor and the secondary debtor.

18. The method of claim 17, further comprising analyzing the internal data to determine the spending patterns of the secondary debtor.

19. The method of claim 18, further comprising querying the data store for tradeline data associated with at least one of the primary debtor and the secondary debtor to yield household tradeline data.

20. The method of claim 19, further comprising identifying an installment tradeline in the household tradeline data.