METHOD AND APPARATUS OF CONSTRUCTING AND EXPLORING KPI NETWORKS

• US 20090281845A1
• Filed: 05/06/2008
• Published: 11/12/2009
• Est. Priority Date: 05/06/2008
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Li, Yinggang, Fukuda, Mari, Jeng, Jun-Jang
• Application Number:
  US12/115,913
• Publication Number:
  US 20090281845A1
• Time in Patent Office: Days
• US Class Current: 705/7
• CPC Class Codes: G06Q 10/06393 Score-carding, benchmarking or key performance indicator [KPI] analysis
• CPC Class Codes: G06Q 10/10 Office automation; Time management

Abstract

A method and system for constructing and exploring KPI networks, in one aspect, identified KPIs associated with a performance target. Correlated or dependent KPIs are determined and correlations or dependencies are weighed to provide the degree of relevance in the KPI network. Influential chains in the correlation are determined. KPIs and associated correlations may be mined using historical data.

Claims

1. A method for constructing and exploring KPI networks, comprising:

identifying one or more key performance indicators associated with a selected performance target;

determining one or more correlations to said one or more key performance indicators;

assigning weights to said one or more correlations, said weights representing influence value between correlated key performance indicators; and

determining one or more influential chains in said one or more correlations, said one or more influential chains indicative of factors affecting the selected performance target.

2. The method of claim 1, wherein the step of identifying includes mining said one or more key performance indicators from historical data.

3. The method of claim 1, wherein the step of identifying is performed using user input.

4. The method of claim 1, wherein the step of identifying includes mining said one or more key performance indicators from a business process.

5. The method of claim 1, wherein the step of determining one or more correlations uses a predictive algorithm.

6. The method of claim 1, wherein the step of determining one or more correlations uses a linear regression algorithm.

7. The method of claim 1, wherein the step of determining one or more correlations further includes generating a key performance indicator network comprising at least a set of key performance indicators and their relations.

8. The method of claim 1, wherein the step of determining one or more influential chains includes using a shortest path algorithm.

9. The method of claim 8, wherein the shortest path algorithm multiplies weights in a path.

10. A system for constructing and exploring KPI networks, comprising:

a computer implemented processing module operable to identify one or more key performance indicators associated with a selected performance target;

a computer implemented analytic module operable to determine one or more correlations to said one or more key performance indicators and generate a key performance indicator network comprising said one or more key performance indicators and said one or more correlations; and

a processing module operable to determine one or more influential chains in said one or more correlations, said one or more influential chains indicative of factors affecting the selected performance target.

11. The system of claim 10, wherein said analytic module is further operable to assigning weights to said one or more correlations, said weights representing influence value between correlated key performance indicators;

and

said processing module is further operable to determine one or more influential chains using said weights.

12. The system of claim 10, further including a user interface operable to enable a user to view said key performance indicator network, edit said one or more key performance indicators, and validate said determine one or more influential chains.

13. The system of claim 10, further including:

an editor module operable to allow a user to enter said one or more key performance indicators associated with a selected performance target.

14. The system of claim 13, wherein the editor module is further operable to enable a user to enter weights corresponding to said one or more correlations.

15. The system of claim 10, wherein said computer implemented processing module includes a data mining engine, said data mining engine mining said one or more key performance indicators from a data warehouse.

16. The system of claim 10, wherein said computer implemented processing module includes a data mining engine, said data mining engine mining said one or more key performance indicators from a business process.

17. The system of claim 10, wherein said processing module is operable to determine one or more influential chains using a shortest path algorithm.

18. The system of claim 10, wherein said computer implemented analytic module is operable to determine one or more correlations using linear regression algorithm.

19. A program storage device readable by a machine, tangibly embodying a program of instructions executable by the machine to perform a method of constructing and exploring KPI networks, comprising:

identifying one or more key performance indicators associated with a selected performance target;

determining one or more correlations to said one or more key performance indicators;

assigning weights to said one or more correlations, said weights representing influence value between correlated key performance indicators; and

determining one or more influential chains in said one or more correlations, said one or more influential chains indicative of factors affecting the selected performance target.

20. The program storage device of claim 19, wherein the step of identifying includes mining said one or more key performance indicators from historical data.