System and Method for Estimating and Storing Skills for Reuse

• US 20090083221A1
• Filed: 09/21/2007
• Published: 03/26/2009
• Est. Priority Date: 09/21/2007
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Pingali, Gopal S., Vukovic, Maja, Podlaseck, Mark E.
• Application Number:
  US11/859,509
• Publication Number:
  US 20090083221A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/06398 Performance of employee with respect to a job function

Abstract

A system and method that automatically estimates and chronicles the skills of an individual creating a database of skills that are dynamically updated, and enables the search and viewing of skills along multiple dimensions and at the desired level of detail. The system also provides the playback or reuse of skills such that best practices may be implemented manually or automatically to resolve current problems, and facilitate training and transitioning of resources in order to effectively optimize workforce management. Further, the system automatically reallocates or makes suggestions for the reallocation of resources to meet service level agreement requirements.

Claims

1. A data processing method, comprising:

retrieving captured activities from a database based on selected criteria;

determining skills associated with said activities;

determining parameters for said skills based on said activities; and

dynamically storing said updated skills in a database.

2. The data processing method according to claim 1, further comprising clustering said captured activities based on shared parameters.

3. The data processing method according to claim 2, wherein said captured activities are clustered into hierarchical skill groupings.

4. The data processing method according to claim 1, further comprising browsing said skills database for solutions to current problems.

5. The data processing method according to claim 4, wherein said browsing is performed at varying levels of abstraction.

6. The data processing method according to claim 4, wherein said solutions may be sorted based on subject matter experts, recent solutions, and best practices.

7. The data processing method according to claim 4, further comprising:

reusing said solutions to resolve a current problem, provide skills training, or to support the transitioning of skills resources.

8. The data processing method according to claim 7, wherein said reuse includes the replay of known solutions.

9. The data processing method according to claim 1, wherein said selected criteria is selected from a group consisting of:

an individual, a group, an organization, an application, or a time period.

10. The data processing method according to claim 1, wherein said skills parameters include skill likelihood, skill extent, skill efficiency, and skill re-use.

11. The data processing method according to claim 1, wherein

said captured activities are performed by at least one user to resolve a problem, and

said captured activities are stored in a database.

12. A method for estimating and chronicling the skills of an individual, comprising:

retrieving captured activities from a database based on selected criteria;

creating a list of skills for said selected criteria;

determining skills associated with said activities;

determining parameters for said skills based on said activities;

updating said skills based on said parameters and associated activities; and

dynamically storing said updated skills in a database.

13. The data processing method according to claim 12, further comprising:

clustering said captured activities based on shared parameters, and

wherein said captured activities are clustered into hierarchical skill groupings.

14. The data processing method according to claim 12, further comprising:

reusing said solutions to resolve a current problem, provide skills training, or to support the transitioning of skills resources, and

wherein said reuse includes the replay of known solutions.

15. A system for estimating and chronicling the skills of an individual, comprising:

at least one database for storing captured activities;

means for obtaining selection criteria;

means for retrieving captured activities from said database based on said selection criteria;

means for determining skills associated with said activities;

means for determining parameters for said skills based on said activities; and

means for dynamically storing said updated skills in said at least one database.

16. A computer program product comprising a computer useable medium including a computer readable program, wherein the computer readable program when executed on a computer causes the computer to:

capture activities performed by at least one user to resolve said problem;

chronicle said captured activities; and

estimate the skill of said at least one user based on said captured activities.

17. A computer program product according to claim 16, wherein the computer readable program further causes the computer to:

dynamically chronicle said captured activities.

18. A computer program product according to claim 16, wherein the computer readable program further causes the computer to:

search said captured activities for solutions to current problems; and

utilize said search to resolve current problems.

19. A computer program product according to claim 18, wherein utilizing said search includes the training of service providers, the reuse of known solutions, and the reallocation of skills.

20. A computer program product according to claim 16, wherein the computer readable program further causes the computer to:

cluster said captured activities based on shared parameters, wherein said captured activities are clustered into hierarchical skill groupings.