TECHNOLOGICAL INFRASTRUCTURE CONSUMPTION INDEX

• US 20110119103A1
• Filed: 11/13/2009
• Published: 05/19/2011
• Est. Priority Date: 11/13/2009
• Status: Active Grant

• Current Assignee: Bank of America Corp.
• Original Assignee: Bank of America Corp.
• Inventors: Erickson, Steve A., Workman, Angela K., Johnson, Heidi Jane, Davis, Kevin R., Akella, Vijay B., Whitlock, Leigh Anne, McClung, Susan, Ragunas, Michael J., Wadhwani, Rajat
• Granted Patent: US 8,265,974 B2
• Time in Patent Office: Days
• US Class Current: 705/7.22
• CPC Class Codes: G06Q 10/00 Administration; Management
• CPC Class Codes: G06Q 10/06312 Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling

Abstract

Embodiments of the invention relate to systems, methods, and computer program products that provide for a technological infrastructure consumption index. The index is instrumental in measuring and managing technological infrastructure consumption. The consumption index is generated on a predetermined schedule as indicator of a business entity'"'"'s volume of infrastructure consumption. The consumption index tracks key consumption elements, which are within the control of application teams, thereby insuring that the consumption of the key elements are being managed on an ongoing basis. Additionally, the consumption index provides for drill-down capabilities for the purpose of readily accessing data associated with specific key consumption elements of interest and specific teams/organizations within the business entity.

Claims

1. A method for managing consumption of technological infrastructure associated with a business entity, the method comprising:

receiving, at a computing device, consumption data associated with a plurality of key consumption elements;

determining, at a computing device processor, a consumption index for at least a portion of the business entity based on the consumption data; and

storing, in computing device memory, the consumption index.

2. The method of claim 1, wherein receiving the consumption data further comprises defining, through statistical analysis, the plurality of key consumption elements from a plurality of business entity consumption elements.

3. The method of claim 1, wherein determining the consumption index further comprises determining, at the computing device processor, a consumption element score for each of the plurality of key consumption elements.

4. The method of claim 3, wherein determining a consumption index further comprises aggregating, at the computing device processor, the consumption element scores to result in the consumption index.

5. The method of claim 1, further comprising providing for the consumption index that is baselined in relation to a total cost of the plurality of key consumption elements.

6. The method of claim 5, wherein determining the consumption index further comprises determining, at the computing device processor, a weighted consumption element score for each of the plurality of key consumption elements, wherein the weighted consumption element score is weighted based on a percentage of the total cost of the plurality of key consumption elements.

7. The method of claim 6, wherein determining the consumption index further comprises aggregating, at the computing device processor, the weighted consumption element scores to determine the consumption index.

8. The method of claim 1, further comprising identifying, at a computing device, received consumption data associated with predetermined portions of the business entity and wherein determining the consumption index further comprises determining, at the computing device processor, consumption index for one or more of the predetermined portions of the business entity based on the identified consumption data.

9. The method of claim 8, wherein identifying further comprises applying a translator table to the received consumption data to identify portions of the data associated with predetermined portions of the business entity.

10. The method of claim 1, further comprising receiving, at the computing device consumption related information and performing one or more of modifying the consumption index based on the consumption related information or identifying the consumption index as being affected by the consumption related information.

11. The method of claim 1, wherein determining the consumption index further comprises parsing, at the computing device processor, the consumption index into consumption index segments wherein each segment is associated with an organization within the business entity and storing, in computing device memory, the consumption index segments.

12. The method of claim 1, further comprising evaluating the key consumption elements on an ongoing basis to determine their respective relevancy to the consumption index and, based on the evaluation, providing for one or more of adding one or more additional key consumption elements to the consumption index or deleting one or more of the key consumption elements from the consumption index.

13. An apparatus for managing consumption of technological infrastructure associated with a business entity, the apparatus comprising:

a computing platform including at least one processor and a memory; and

a consumption index module stored in the memory and executable by the processor, wherein the module is configured to receive consumption data associated with a plurality of key consumption elements and wherein the module includes consumption index logic that is configured to determine a consumption index for at least a portion of the business entity based on the consumption data and store the consumption index in the memory.

14. The apparatus of claim 13, further comprising a key consumption element identifier stored in the memory, executable by the processor and configured to identify, through statistical analysis, the plurality of key consumption elements from a plurality of consumption elements.

15. The apparatus of claim 13, wherein the consumption index logic is further configured to determine a consumption element score for each of the plurality of key consumption elements.

16. The apparatus of claim 15, wherein the consumption index logic is further configured to aggregate the consumption element scores to result in the consumption index.

17. The apparatus of claim 13, wherein the consumption index module is further configured to determine the consumption index, wherein the consumption index is baselined in relation to a total cost of the plurality of key consumption elements.

18. The apparatus of claim 17, wherein the consumption index logic is further configured to determine a weighted consumption element score for each of the plurality of key consumption elements, wherein the weighted consumption element score is weighted based on a percentage of the total cost of the plurality of key consumption elements.

19. The apparatus of claim 18, wherein the consumption index logic is further configured to aggregate the weighted consumption element scores to determine the consumption index.

20. The apparatus of claim 13, wherein the consumption index module further comprises a consumption data organization-identifier configured to identify consumption data associated with predetermined organizations within the business entity and wherein the consumption index logic is further configured to determine the consumption index for one or more of the predetermined organizations within the business entity based on the identified consumption data.

21. The apparatus of claim 20, wherein the consumption data organization-identifier is further configured to apply a translator table to the received consumption data to identify consumption data associated with predetermined organizations within the business entity.

22. The apparatus of claim 13, wherein the consumption index module further comprises a consumption index impacter configured to receiving consumption related information and perform one or more of modifying the consumption index based on the consumption related information or identifying the consumption index as being impacted by the consumption related information.

23. The apparatus of claim 13, wherein the consumption index logic is further configured to parse at the computing device processor, the consumption index into consumption index segments wherein each segment is associated with an organization within the business entity and storing, in computing device memory, the consumption index segments.

24. The apparatus of claim 13, wherein the consumption index module further comprises a consumption index presentation application configured to present the consumption index to a user via a computing network

25. The apparatus of claim 13, wherein the consumption index presentation application is further configured to present at least one of a key consumption element breakdown of the consumption index, an organization breakdown of the consumption index or a key consumption element and organization breakdown of the consumption index.

26. The apparatus of claim 13, wherein the consumption index module further comprises a key consumption element evaluator configured to evaluate on an ongoing or predetermined basis the respective relevancy of the key consumption elements to the consumption index and, based on the evaluation, provide for one or more of adding one or more additional key consumption elements to the consumption index or deleting one or more of the key consumption elements from the consumption index.

27. A computer program product comprising:

a computer-readable medium comprising;

a first set of codes for causing a computer to receive consumption data associated with a plurality of key consumption elements;

a second set of codes for causing a computer to determine a consumption index for at least a portion of the business entity based on the consumption data; and

a third set of codes for causing a computer to store the consumption index.

28. The computer program product of claim 27, wherein the first set of codes is further configured to cause the computer to define, through statistical analysis, the plurality of key consumption elements from a plurality of business entity consumption elements.

29. The computer program product of claim 27, wherein the second set of codes is further configured to cause the computer to determine a consumption element score for each of the plurality of key consumption elements.

30. The computer program product of claim 29, wherein the second set of codes is further configured to cause the computer to aggregate the consumption element scores to result in the consumption index.

31. The computer program product of claim 27, wherein the second set of codes is further configured to cause the computer to determine a weighted consumption element score for each of the plurality of key consumption elements, wherein the weighted consumption element score is weighted based on a percentage of the total cost of the plurality of key consumption elements and the consumption index is baselined in relation to a total cost of the plurality of key consumption elements.

32. The computer program product of claim 31, wherein the second set of codes is further configured to cause the computer to aggregate the weighted consumption element scores to determine the consumption index.

33. The computer program product of claim 27, further comprising a fourth set of codes for causing a computer to identify received consumption data associated with predetermined portions of the business entity and wherein the second set of codes is further configured to cause the computer to determine a consumption index for one or more of the predetermined portions of the business entity based on the identified consumption data.

34. The computer program product of claim 33, wherein the fourth set of codes is further configured to cause the computer to apply a translator table to the received consumption data to identify portions of the data associated with predetermined portions of the business entity.

35. The computer program product of claim 27, further comprising a fourth set of codes for causing a computer to receive consumption related information and performing one or more of modifying the consumption index based on the consumption related information or identifying the consumption index as being impacted by the consumption related information.

36. The computer program product of claim 27, wherein the second set of codes is further operable to cause the computer to parse the consumption index into consumption index segments wherein each segment is associated with an organization within the business entity and storing, in computing device memory, the consumption index segments.

37. The computer program product of claim 27, further comprising a fourth set of codes for causing a computer to evaluate the key consumption elements on an ongoing basis to determine their respective relevancy to the consumption index and, based on the evaluation, providing for one or more of adding one or more additional key consumption elements to the consumption index or deleting one or more of the key consumption elements from the consumption index.