Enterprise Decision Management System and Method

• US 20080288305A1
• Filed: 12/31/2007
• Published: 11/20/2008
• Est. Priority Date: 05/15/2007
• Status: Abandoned Application

• Current Assignee: Fair Isaac Corporation
• Original Assignee: Fair Isaac Corporation
• Inventors: Nash, John, LaLuzerne, Joseph D.
• Application Number:
  US11/967,792
• Publication Number:
  US 20080288305A1
• Time in Patent Office: Days
• US Class Current: 705/7
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/0637 Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals

Abstract

A management system and method providing a flexible, iterative approach for conducting strategic consulting and planning engagements as well as application-based and custom system development projects. The system and method are intended to provide a unifying framework to both communicate planning and delivery approaches to clients and to enable collaboration among various personnel called upon to deliver a client solution. In one embodiment, said method includes creating a decision inventory and business process flow, identifying and designing models to inform decision yield and business architecture requirements; capturing baseline decision yield information; and quantifying potential improvements to the decision yield to determine a decision yield value proposition with said quantifying being based at least in part on said captured baseline decision yield information.

Claims

1. A system for enterprise decision management comprising:

a strategy and plan stage module for identifying and prioritizing client opportunities, capturing baseline decision yield information, and quantifying potential improvements to decision yield;

a design stage module for determining an analytical approach and designing a decisioning environment; and

a run stage module for operating the decisioning environment, said decisioning environment defined at least in part by data environments, decision rights, and decision processes and rules.

2. The system of claim 1 wherein the strategy and plan stage module additionally assesses the scope of client opportunities and creating a high-level plan to address client opportunities and scope.

3. The system of claim 1 wherein the design stage module determines the best analytic approach for the decisioning environment.

4. The system of claim 3 wherein the design stage module defines decision rights, including decision control.

5. The system of claim 1 further comprising:

a build stage module for defining data environments, decision rights, and decision processes and rules, and wherein said build stage module assesses and addresses decision gaps.

6. The system of claim 5 wherein the build stage module maps external data connectivity.

7. The system of claim 6 wherein the build stage module tests model performance using historical data and outcomes.

8. The system of claim 5 wherein the build stage module defines a decision management application.

9. The system of claim 1 wherein the build stage module utilizes mathematical modeling to improve the decisioning environment.

10. The system of claim 1 wherein the run stage module confirms realization of decision yield.

11. The system of claim 1 wherein the run stage module implements changes to the decisioning environment.

12. The system of claim 1 wherein the run stage module feeds new understandings back to the decisioning environment.

13. The system of claim 1 wherein the run stage module identifies new decisions to improve.

14. A method for developing an enterprise decision management system (EDM) comprising:

identifying a client opportunity;

capturing baseline decision yield information;

quantifying potential improvements to decision yield;

determining an analytical approach and designing a decisioning environment;

defining decision rights and processes; and

operating the decisioning environment based on said defined decision rights and processes.

15. The method of claim 14 further comprising:

assessing a scope of the client opportunity.

16. The method of claim 15 further comprising:

creating a decision inventory and business process flow based on said scope.

17. The method of claim 16 further comprising:

identifying and designing pilot modules to inform decision yield analysis based on said decision inventory and business process flow.

18. The method of claim 17 wherein said pilot modules are utilized to evaluate business architecture requirements.

19. The method of claim 14 further comprising:

quantifying potential improvements to the decision yield.

20. The method of claim 19 wherein said quantifying and determining includes evaluation of multiple different analytic approaches and selection of one of the multiple different approaches in view of the business opportunity, business architecture or decision yield analyses.

21. The method of claim 14 wherein said defining includes designing decision rights in view of decision control information and organization alignment or skills information.

22. The method of claim 21 wherein said designing decision rights includes determining organizational structure, skills and compensation.

23. The method of claim 14 further comprising:

confirming realization of decision yield in the operating environment.

24. The method of claim 14 further comprising:

identifying and implementing changes to the decisioning environment.

25. The method of claim 14 further comprising:

feeding back revelations yielded from the operating decisioning environment and changing the decisioning environment based on said revelations.

26. A method for implementing an enterprise decision management system comprising:

defining a decision yield;

quantifying potential improvements to the decision yield; and

determining the best analytic approach for designing and implementing a decisioning environment based on at least said decision yield and said potential improvements to said decision yield.

27. The method of claim 26 wherein said best analytic approach is selected from among the group of:

neural net, regression and strategy science.

28. An enterprise decision management system (EDM) method comprising:

creating a decision inventory and business process flow;

identifying and designing models to inform decision yield and business architecture requirements;

capturing baseline decision yield information; and

quantifying potential improvements to the decision yield to determine a decision yield value proposition, said quantifying being based at least in part on said captured baseline decision yield information.