Technological infrastructure consumption index

• US 8,265,974 B2
• Filed: 11/13/2009
• Issued: 09/11/2012
• Est. Priority Date: 11/13/2009
• Status: Active Grant

• Current Assignee: Bank of America Corp.
• Original Assignee: Bank of America Corp.
• Inventors: Wadhwani, Rajat, Whitlock, Leigh Anne, McClung, Susan, Johnson, Heidi Jane, Workman, Angela K., Davis, Kevin R., Erickson, Steve A., Akella, Vijay B., Ragunas, Michael J.
• Primary Examiner(s): Jeanty, Romain
• Assistant Examiner(s): Miller, Alan S
• Application Number:
  US12/618,457
• Publication Number:
  US 20110119103A1
• Time in Patent Office: 1,033 Days
• Field of Search: 705 711- 736, 709/224
• US Class Current: 705/7.12
• 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:

defining, through statistical analysis performed by a computing device processor, a plurality of key consumption elements from amongst a plurality of business entity consumption element;

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

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

storing, in computing device memory, the consumption index;

evaluating, on an ongoing basis by a computing device processor, the key consumption elements and other business entity consumption elements not currently defined as key consumptions elements to determine their respective relevancy to the consumption index; and

providing for one or more of (1) adding one or more of the other business entity consumption elements to the consumption index or (2) deleting one or more of the key consumption elements from the consumption index based on the evaluation of relevancy to the consumption index.

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

3. The method of claim 2, wherein determining a consumption index further comprises aggregating, by the computing device processor, the consumption element scores to result in the consumption index.

4. 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.

5. The method of claim 1 wherein determining the consumption index further comprises aggregating by the computing device processor, the weighted consumption element scores to determine the consumption index.

6. The method of claim 1, further comprising identifying, by 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.

7. The method of claim 6, wherein identifying further comprises applying, by a computing device processor, a translator table to the received consumption data to identify portions of the data associated with predetermined portions of the business entity.

8. The method of claim 1, further comprising receiving, by 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.

9. The method of claim 1, wherein determining the consumption index further comprises parsing, by 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.

10. 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 key consumption element identifier stored in the memory, executable by the processor and configured to identify, through statistical analysis, a plurality of key consumption elements from amongst a plurality of consumption elements;

a consumption index module stored in the memory and executable by the processor, wherein the module is configured to receive consumption data associated with the plurality of key consumption elements{tilde over ( )} 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, 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; and

a key consumption element evaluator configured to evaluate, on an ongoing basis, the key consumption elements and other business entity consumption elements not currently defined as key consumptions elements to determine their respective relevancy to the consumption index and provide for one or more of (1) adding one or more of the other business entity consumption elements to the consumption index or (2) deleting one or more of the key consumption elements from the consumption index based on the evaluation of relevancy to the consumption index.

11. The apparatus of claim 10, wherein the consumption index logic is further configured to determine a consumption element score for each of the plurality of key consumption elements.

12. The apparatus of claim 11, wherein the consumption index logic is further configured to aggregate the consumption element scores to result in the consumption index.

13. The apparatus of claim 10, 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.

14. The apparatus of claim 10 wherein the consumption index logic is further configured to aggregate the weighted consumption element scores to determine the consumption index.

15. The apparatus of claim 10, 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.

16. The apparatus of claim 15, 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.

17. The apparatus of claim 10, 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.

18. The apparatus of claim 10, 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.

19. The apparatus of claim 10, 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.

20. The apparatus of claim 10, 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.

21. A computer program product comprising:

a non-transitory computer-readable medium comprising;

a first set of codes for causing a computer to define, through statistical analysis, a plurality of key consumption elements from amongst a plurality of business entity consumption elements;

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

a third 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, wherein the third 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; and

a fourth set of codes for causing a computer to store the consumption index;

a fifth set of codes for causing a computer to evaluate, on an ongoing basis, the key consumption elements and other business entity consumption elements not currently defined as key consumptions elements to determine their respective relevancy to the consumption index; and

a sixth set of codes for causing a computer to provide for one or more of (1) adding one or more of the other business entity consumption elements to the consumption index or (2) deleting one or more of the key consumption elements from the consumption index based on the evaluation of relevancy to the consumption index.

22. The computer program product of claim 21, wherein the third 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.

23. The computer program product of claim 22, wherein the third set of codes is further configured to cause the computer to aggregate the consumption element scores to result in the consumption index.

24. The computer program product of claim 21 wherein the third set of codes is further configured to cause the computer to aggregate the weighted consumption element scores to determine the consumption index.

25. The computer program product of claim 21, further comprising a seventh 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.

26. The computer program product of claim 25, wherein the seventh 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.

27. The computer program product of claim 21, further comprising a seventh 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.

28. The computer program product of claim 21, wherein the third 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.