Analyzing decision points in business processes

• US 20030236689A1
• Filed: 06/21/2002
• Published: 12/25/2003
• Est. Priority Date: 06/21/2002
• Status: Abandoned Application

• Current Assignee: Hewlett-Packard Development Company, L.P. (HP Inc.)
• Original Assignee: Hewlett-Packard Development Company, L.P. (HP Inc.)
• Inventors: Sayal, Mehmet, Casati, Fabio, Gunopulos, Dimitrios, Castellanos, Maria Guadalupe
• Application Number:
  US10/177,423
• Publication Number:
  US 20030236689A1
• Time in Patent Office: Days
• US Class Current: 705/7.26
• CPC Class Codes: G06Q 10/06316 Sequencing of tasks or work
• CPC Class Codes: G06Q 10/10 Office automation; Time management

Abstract

Systems and methods of analyzing decision points in a business process are described. In one aspect, process execution data that is generated by a workflow management system during execution of one or more instances of a business process involving a set of one or more activities and a set of one or more decision points is accessed. Based upon the accessed process execution data, a predictive quantitative model including a set of one or more rules correlating context data at different stages of the business process with business process outcomes at one or more decision points in the business process is built. In another aspect, one or more rules correlating context data at different stages of the business process with business process outcomes at one or more decision points in the business process are presented to a user.

Claims

1. A method of analyzing decision points in a business process, comprising:

accessing process execution data generated by a workflow management system during execution of one or more instances of a business process involving a set of one or more activities and a set of one or more decision points; and

based upon the accessed process execution data, building a predictive quantitative model comprising a set of one or more rules correlating context data at different stages of the business process with business process outcomes at one or more decision points in the business process.

2. The method of claim 1, wherein building the predictive quantitative model comprises partitioning the business process into a set of logical stages.

3. The method of claim 2, wherein each logical stage comprises a set of one or more nodes in a definition of the business process.

4. The method of claim 3, further comprising searching for correlations between context data and decision points at each logical stage.

5. The method of claim 1, wherein a correlation rule specifies an outcome probability at a decision point conditioned on completion of all activities up to a given stage of the business process and a given context data value.

6. The method of claim 5, wherein the given context data relates to time information.

7. The method of claim 6, wherein the given context data corresponds to a duration.

8. The method of claim 6, wherein the given context data corresponds to a start time.

9. The method of claim 5, wherein the given context data relates to a business process variable.

10. The method of claim 9, wherein the given context data corresponds to a resource identifier.

11. The method of claim 9, wherein the given context data corresponds to a change in a value assigned to a business process variable.

12. The method of claim 9, wherein the given context data corresponds to a threshold value assigned to a business process variable.

13. The method of claim 1, further comprising presenting one or more correlation rules to a user.

14. A computer program for analyzing decision points in a business process, the computer program residing on a computer-readable medium and comprising computer-readable instructions for causing a computer to:

access process execution data generated by a workflow management system during execution of one or more instances of a business process involving a set of one or more activities and a set of one or more decision points; and

based upon the accessed process execution data, build a predictive quantitative model comprising a set of one or more rules correlating context data at different stages of the business process with business process outcomes at one or more decision points in the business process.

15. A method of analyzing decision points in a business process involving a set of one or more activities and a set of one or more decision points, comprising:

presenting to a user one or more rules correlating context data at different stages of the business process with business process outcomes at one or more decision points in the business process.

16. The method of claim 15, wherein a correlation rule specifies an outcome probability at a decision point conditioned on completion of all activities up to a given stage of the business process and a given context data value.

17. The method of claim 16, wherein the given context data relates to time information.

18. The method of claim 17, wherein the given context data corresponds to a duration.

19. The method of claim 17, wherein the given context data corresponds to a start time.

20. The method of claim 16, wherein the given context data relates to a business process variable.

21. The method of claim 20, wherein the given context data corresponds to a resource identifier.

22. The method of claim 20, wherein the given context data corresponds to a change in a value assigned to a business process variable.

23. The method of claim 20, wherein the given context data corresponds to a threshold value assigned to a business process variable.

24. A system for analyzing decision points in a business process involving a set of one or more activities and a set of one or more decision points, comprising a graphical user interface configured to:

present to a user one or more rules correlating context data at different stages of the business process with business process outcomes at one or more decision points in the business process.