Global Risk Administration Method and System

• US 20090024505A1
• Filed: 06/30/2008
• Published: 01/22/2009
• Est. Priority Date: 06/28/2007
• Status: Abandoned Application

• Current Assignee: CashEdge Incorporated (Fiserv Incorporated)
• Original Assignee: CashEdge Incorporated (Fiserv Incorporated)
• Inventors: Sokolic, Jeremy, Ceng, Song Ting, Patel, Amit R., Narang, Girish
• Application Number:
  US12/165,532
• Publication Number:
  US 20090024505A1
• Time in Patent Office: Days
• US Class Current: 705/35
• CPC Class Codes: G06Q 10/00 Administration; Management
• CPC Class Codes: G06Q 40/00 Finance; Insurance; Tax strategies; Processing of corporate or income taxes

Abstract

Embodiments of a Global Risk Administration (GRA) method and system include a GRA tool that assists an institution with various decision making processes by enabling the institution to customize the GRA tool to generate decisions based on information input by the institution or a customer of the institution. The GRA tool further accesses third party data sources for the purpose of verifying information and gathering additional information to be used in generating decisions. The data sources are selectable by the institution as an aspect of the customization in an embodiment. In an embodiment, the institution is a financial institution (FI), and customizing the GRA tool involves an FI user assigning attribution rules using, wherein attribution rules comprise characteristics of applicants for financial accounts. The user further creates one or more decision classes using the UI, wherein one or more attribution rules place an applicant in a decision class; and the user creates business rules, wherein a business rule determines a manner in which the GRA module interprets data from the third party data sources.

Claims

1. A method for assessing risk in approving applications for financial accounts, the method comprising:

a user accessing a financial management system (FMS) user interface (UI) to configure a global risk administration (GRA) module, wherein the user comprises a financial institution (FI);

the user assigning attribution rules using the UI, wherein attribution rules comprise characteristics of applicants for financial accounts;

the user creating one or more decision classes using the UI, wherein one or more attribution rules place an applicant in a decision class; and

the user creating business rules, wherein a business rule determines a manner in which the GRA module interprets data from a plurality of data sources.

2. The method of claim 1, further comprising the user creating one or more business rules for each decision class.

3. The method of claim 2, wherein the attribution rules comprise:

an applicant type comprising primary, secondary and individual;

a product selected by the applicant;

a promotion code used by the applicant;

a manner of origination of an application, comprising an online application filled out by a customer, an application entered at a kiosk by a customer, and an application manually entered by a customer service representative;

whether an applicant is a current customer; and

an applicant profile, comprising information submitted by the applicant.

4. The method of claim 3, wherein the applicant profile information is submitted by the applicant, wherein submitting comprises:

using a front-end UI supplied by the FMS;

using a server-to-server message;

using an XML message form; and

a customer service representative manually entering information received at a call center.

5. The method of claim 2, further comprising the FMS communicating directly with a plurality of data sources to collect the data on behalf of the FI.

6. The method of claim 5, wherein the user chooses the data sources to be used.

7. The method of claim 3, wherein the user prioritizes the attribution rules such that if an applicant meets requirements of more than one rule, the higher priority rule governs a decision class in which to place the applicant.

8. The method of claim 6, wherein the data sources comprise existing commercially available data sources that provide raw data in particular formats, and wherein the method further comprises the GRA module converting the raw data into a data source outcome using the business rules associated with a class.

9. The method of claim 8, further comprising the user creating final decision rules for generating a final decision whether to approve an applicant'"'"'s application for a financial account.

10. The method of claim 9, wherein a final decision rule uses data source outcomes to generate the final decision.

11. The method of claim 1, wherein the GRA module maintains an audit trail for tracking changes made to the GRA module configuration.

12. A global risk administration (GRA) method comprising:

a management system (MS) providing access for multiple institutions to a single GRA module, wherein the GRA module is configurable by each institution to assess a risk of approving an application for a financial account;

an institution accessing the GRA module via a user interface to configure the GRA module, wherein configuring comprises creating rules to be applied by the GRA module for assessing the risk;

the MS accessing a plurality of data sources on behalf of the institution to gather raw data relevant to an applicant submitting the application;

the GRA module converting the raw data to a data source outcome for each data source; and

the GRA module using the data source outcomes to generate a final decision whether to approve the application.

13. The method of claim 12, wherein configuring further comprises creating attribution rules that characterize applicants.

14. The method of claim 13, wherein configuring further comprises creating decision classes that are pointed to by attribution rules.

15. The method of claim 12, wherein configuring further comprises creating final decision rules for generating the final decision.

16. The method of claim 15, wherein a final decision rule uses data source outcomes to generate the final decision.

17. The method of claim 12, wherein converting the raw data comprises using the attribution rules, the decision classes, business rules, and final decision rules.

18. The method of claim 12, further comprising maintaining an audit trail for tracking changes made to the GRA module configuration.

19. A financial management system (FMS), comprising:

a plurality of databases for storing financial data, wherein financial data comprises customer data regarding individuals and companies, and financial institution data regarding financial institutions (FIs);

a plurality of service modules for providing a plurality of financial services to individuals, companies and FIs; and

a global risk administration (GRA) module for providing GRA services to FIs, wherein GRA services facilitate assessing a risk of approving a customer application for a financial account submitted by a customer to an FI, wherein the GRA module is configurable to,

receive input from an FI to configure the GRA to evaluate data from a plurality of data sources for generating a data source outcome for each data source; and

receive input from the FI to configure the GRA to generate a final decision on whether to approve an application.

20. The financial management system of claim 19, further configurable to:

receive application data on behalf of an FI, wherein the application data relates to a customer applying for a financial account;

access the plurality of data sources;

evaluate the application data in view if the plurality of data sources; and

automatically generate a decision whether to approve the application.

21. A computer readable medium having instruction stored thereon, that when executed in a system, cause a global risk administration (GRA) method to be executed, the method comprising:

a management system (MS) providing access for multiple institutions to a single GRA module, wherein the GRA module is configurable by each institution to assess a risk of approving an application for a financial account;

an institution accessing the GRA module via a user interface to configure the GRA module, wherein configuring comprises creating rules to be applied by the GRA module for assessing the risk;

the MS accessing a plurality of data sources on behalf of the institution to gather raw data relevant to an applicant submitting the application;

the GRA module converting the raw data to a data source outcome for each data source; and

the GRA module using the data source outcomes to generate a final decision whether to approve the application.

22. The computer readable medium of claim 21, wherein configuring further comprises creating attribution rules that characterize applicants.

23. The computer readable medium of claim 22, wherein configuring further comprises creating decision classes that are pointed to by attribution rules.

24. The computer readable medium of claim 21, wherein configuring further comprises creating final decision rules for generating the final decision.

25. The computer readable medium of claim 24, wherein a final decision rule uses data source outcomes to generate the final decision.

26. The computer readable medium of claim 21, wherein converting the raw data comprises using the attribution rules, the decision classes, business rules, and final decision rules.

27. The computer readable medium of claim 21, wherein the method further comprises maintaining an audit trail for tracking changes made to the GRA module configuration.