System and method for monitoring intellectual capital

• US 20030083898A1
• Filed: 09/30/2002
• Published: 05/01/2003
• Est. Priority Date: 12/22/2000
• Status: Abandoned Application

• Current Assignee: Hewlett-Packard Development Company, L.P. (HP Inc.)
• Original Assignee: Hewlett-Packard Development Company, L.P. (HP Inc.)
• Inventors: Gardner, Michael, Wick, Corey W., Kostohryz, Karen E., Knight, Gary L., Dorfmeister, Stephen C., Rhodes, Henry W., Varnell, James A., Casey, William L.
• Application Number:
  US10/261,389
• Publication Number:
  US 20030083898A1
• Time in Patent Office: Days
• US Class Current: 705/1
• 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
• CPC Class Codes: G06Q 40/02 Banking, e.g. interest calculation or account maintenance credit or loans G06Q40/03
• CPC Class Codes: G09B 23/28 for medicine

Abstract

A system for monitoring intellectual capital includes a metrics engine and a dashboard. The metrics engine is operable to receive a request associated with a metric, identify data associated with the request, retrieve data based on the identified data and process the data based on the requested metric. The dashboard is operable to graphically display the provided data.

Claims

1. A system for monitoring intellectual capital, comprising:

a metrics engine, operable to receive a request specifying at least one metric, identify data associated with the at least one metric, retrieve the identified data, and process the retrieved data based at least in part upon the metric; and

a dashboard operable to graphically display the processed data.

2. The system of claim 1, wherein the metrics engine comprises a memory and the memory comprises default metrics.

3. The system of claim 1, wherein the metrics engine comprises a memory and the memory comprises custom metrics.

4. The system of claim 3, wherein the custom metric is based on contemporaneously provided user input.

5. The system of claim 1, wherein the metric comprises at least one primary metric.

6. The system of claim 5, wherein the primary metric comprises at least one secondary metric.

7. The system of claim 6, wherein the retrieved data is associated with at least one secondary metric.

8. The system of claim 1, wherein the identified data comprises a first portion in a first format and a second portion in a second format.

9. The system of claim 8, wherein the metrics engine is further operable to retrieve the first portion of data in the first format and the second portion of data in the second format and to process the first and second portions in a third format.

10. The system of claim 1, further comprising:

a first database operable to store a first portion of the identified data in a first format; and

a second database operable to store a second portion of the identified data in a second format.

11. The system of claim 10, wherein the metrics engine is further operable to retrieve the first portion of the identified data from the first database in the first format, retrieve the second portion of the identified data from the second database in the second format, and convert the first and second portions into a third format.

12. The system of claim 10, wherein the metrics engine is further operable to receive data based on user input and to store data in the first database in a first format.

13. The system of claim 1, wherein the metrics engine is further operable to receive at least a portion of the identified data from user input and to process the received data based at least in part on the metric.

14. The system of claim 1, wherein the identified data is qualitative data and the metrics engine is further operable to quantify the qualitative data.

15. A method for monitoring intellectual capital, comprising:

receiving a request specifying at least one metric;

identifying data associated with the at least one metric;

retrieving the identified data;

processing the retrieved data based at least in part on the specified metric; and

graphically displaying the processed data.

16. The method of claim 15, wherein the metric comprises default metrics.

17. The method of claim 15, wherein the metric comprises custom metrics.

18. The method of claim 17, wherein the custom metric is based on contemporaneously provided user input.

19. The method of claim 15, wherein the metric comprises at least one primary metric.

20. The method of claim 19, wherein the primary metric comprises at least one secondary metric.

21. The method of claim 20, wherein the retrieved data is associated with at least one secondary metric.

22. The method of claim 15, wherein the identified data comprises a first portion in a first format and a second portion in a second format.

23. The method of claim 22, wherein the first portion of the identified data is retrieved in a first format, a second portion of the identified data is retrieved in a second format, and the first and second portions are processed in a third format.

24. The method of claim 15, further comprising storing a first portion of the identified data in a first format and a second portion of the identified data in a second format.

25. The method of claim 24, further comprising receiving user data based on user input and storing the user data in a first database in a first format.

26. The method of claim 15, further comprising receiving at least a part of the identified data from user input and processing the identified data at least in part based on the specified metric.

27. The method of claim 15, further comprising:

identifying a user;

identifying a user access level based on the identified user; and

processing the identified data based at least in part on the user access level.

28. The method of claim 15, wherein the identified data is qualitative data and processing the retrieved data further comprises quantifying the qualitative data.