Confidence index for assets

• US 7,707,192 B1
• Filed: 05/23/2006
• Issued: 04/27/2010
• Est. Priority Date: 05/23/2006
• Status: Active Grant

• Current Assignee: JP Morgan Chase Bank, N.A. (JP Morgan Chase & Co)
• Original Assignee: JP Morgan Chase Bank, N.A. (JP Morgan Chase & Co)
• Inventors: Lu, Samuel W., Tang, Carlos M.
• Primary Examiner(s): Corrielus; Jean M
• Assistant Examiner(s): LE, THU NGUYET T
• Application Number:
  US11/439,794
• Time in Patent Office: 1,435 Days
• Field of Search: 707/10, 707/2, 707/3, 712/216
• US Class Current: 707/687
• CPC Class Codes: G06Q 10/00 Administration; Management

Abstract

A system and method for distributed database data and file access and retrieval, and managing assets of a company can include the steps of obtaining one or more data elements, storing each of the data elements, determining one or more factors related to a manner in which each of the data elements was obtained, associating a confidence index with each factor, and calculating a confidence index for each of the stored data elements, as well as a composite confidence index for the entire data store, based on the confidence index score for the individual data elements. The system and method can include calculating a confidence index for each of the stored data elements. The factors can include the date that the data elements were obtained. The factors can include from which of one or more sources the data elements were obtained.

Claims

1. A computer-implemented method of associating a data element value with a data element, the method comprising the steps of:

utilizing a computer to obtain a plurality of data element values from one or more data sources, wherein each of the plurality of data element values are related to a single data element;

storing the plurality of data element values;

determining at least one factor related to each of the plurality of data element values;

calculating a present confidence index for each of the plurality of data element values based on the at least one factor, comprising;

periodically calculating one or more confidence indexes for each of the plurality of data element values,

storing the periodically calculated confidence indexes, and

utilizing a historic trend of the periodically calculated confidence indexes for each data element value as the at least one factor when calculating the present confidence index;

comparing the present confidence index for each of the plurality of data element values to determine a data element value with the highest present confidence index;

selecting the data element value with the highest present confidence index; and

associating the selected data element value with the data element.

2. The computer-implemented method of claim 1, wherein the at least one factor includes a date that each of the plurality of data element values were obtained.

3. The computer-implemented method of claim 1, wherein the at least one factor includes from which of the one or more sources each of the plurality of data elements were obtained.

4. The computer-implemented method of claim 2, wherein calculating the present confidence index includes calculating a weighted average wherein data element values obtained on a more recent date receive a greater weight than data element values obtained less recently.

5. The computer-implemented method of claim 3, wherein calculating the present confidence index includes calculating a weighted average wherein the one or more data sources are ranked based on reliability, and data element values obtained from a source having a higher ranking receive a greater weight than data element values obtained from a source having a lower ranking.

6. The computer-implemented method of claim 1, comprising:

identifying a group of data element values that have a relatively low present confidence index; and

focusing resources on improving the present confidence index of the group.

7. The computer-implemented method of claim 1, wherein the data elements include server attributes.

8. The computer-implemented method of claim 7, wherein server attributes include one or more of a server location, a server number, a server support team, and software programs that are resident on the server.

9. The computer-implemented method of claim 1, comprising:

calculating an aggregate confidence index based on the present confidence indexes of a plurality of data element values.

10. The computer-implemented method of claim 1, comprising:

displaying the method by which the present confidence index is calculated for one of the data element values.

11. The computer-implemented method of claim 1, comprising:

displaying a cost related to the calculating of a present confidence index for one of the data element values.

12. A system for associating a data element value with a data element, the system comprising:

a storage device; and

one or more processors designed and configured for;

obtaining a plurality of data element values from one or more data sources, wherein each of the plurality of data element values are related to the same data element;

storing the plurality of data element values;

determining at least one factor related to each of the plurality of data element values;

calculating a present confidence index for each of the plurality of data element values based on the at least one factor, comprising;

periodically calculating one or more confidence indexes for each of the plurality of data element values,

storing the periodically calculated confidence indexes, and

utilizing a historic trend of periodically calculated confidence indexes as the at least one factor when calculating the present confidence index;

comparing the present confidence index for each of the plurality of data element values to determine the data element value with the highest present confidence index;

selecting the data element value with the highest present confidence; and

associating the selected data element value with the data element.

13. The system of claim 12, wherein the at least one factor includes a date that each of the data element values were obtained.

14. The system of claim 12, wherein the at least one factor includes from which of the one or more sources each of the plurality of data elements were obtained.

15. The system of claim 13, wherein calculating the present confidence index includes calculating a weighted average wherein data element values obtained on a more recent date receive a greater weight than data element values obtained less recently.

16. The system of claim 14, wherein calculating the present confidence index includes calculating a weighted average wherein the sources are ranked based on reliability, and data element values obtained from a source having a higher ranking receive a greater weight than data element values obtained from a source having a lower ranking.

17. The system of claim 12, wherein the one or more processors are configured for:

identifying a group of data element values that have a relatively low present confidence index; and

focusing resources on improving the present confidence index of the group.

18. The system of claim 12, wherein the data elements include server attributes.

19. The system of claim 18, wherein the server attributes include one or more of a server location, a server serial number, a server support team, and software programs that are resident on the server.

20. A method of associating a data element value with a data element, the method comprising the steps of:

obtaining the plurality of data element values from a plurality of data sources;

storing the plurality of data element values;

determining at least one factor related to each of the plurality of data element values;

calculating a present confidence index for each of the plurality of data element values based on the present confidence index associated with each factor, wherein calculating the present confidence index includes calculating a weighted average wherein data element values obtained on a more recent data receive a greater weight than data element values obtained less recently, and wherein calculating the present confidence index includes calculating a weighted average wherein the plurality of data sources are ranked based on reliability, and data element values obtained from a data source having a higher ranking receive a greater weight than data element values obtained from a data source having a lower ranking, and

periodically calculating one or more confidence indexes for each of the plurality of data element values;

storing the periodically calculated confidence indexes; and

utilizing a historic trend of periodically calculated confidence indexes used as the at least one factor when calculating the present confidence index;

comparing the present confidence index for each of the plurality of data element values to determine a data element values with the highest present confidence index;

selecting the data element value with the highest present confidence value; and

associating the selected data element value with the data element.