CREATING AND STORING A DATA FIELD ALTERATION DATUM USING AN ANALYTIC PLATFORM

• US 20080288522A1
• Filed: 01/31/2008
• Published: 11/20/2008
• Est. Priority Date: 01/26/2007
• Status: Abandoned Application

• Current Assignee: Symphonyiri Group Incorporated (New Mountain Capital Group LLC)
• Original Assignee: Symphonyiri Group Incorporated (New Mountain Capital Group LLC)
• Inventors: Johnson, Arvid C., Bergeon, Cheryl G., Hudson, Gregory David Neil, Gibbs, Marshall Ashby, Chapa, Craig Joseph, Yusko, Jay Alan, Griglione, Bradley Michael, Mason, Trevor, Hunt, Herbert Dennis, Liu, Ting, West, John Randall, Basilico, Andrea, Agostinelli, Alberto
• Application Number:
  US12/023,301
• Publication Number:
  US 20080288522A1
• Time in Patent Office: Days
• US Class Current: 707/101
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling

Abstract

A method for reading the altered data field in accordance with the field alteration data is provided. The method may include altering a data field characteristic of a data field in a data table, saving the field alteration datum associated with the alteration in a data storage facility, submitting a query requiring the use of the data field in the dataset and reading the altered data field in accordance with the field alteration data. The alteration may generate a field alteration datum and a component of the query may consist of reading the field alteration data.

Claims

1. A method comprising:

altering a data field characteristic of a data field in a data table to provide an altered data field including an alteration, wherein the alteration generates a field alteration datum;

saving the field alteration datum associated with the alteration in a data storage facility;

submitting a query requiring a use of the data field in a dataset, wherein a component of the query consists of reading the field alteration datum; and

reading the altered data field in accordance with the field alteration datum.

2. The method of claim 1 wherein the data table is a fact data table.

3. The method of claim 1 wherein the fact data table is a retail sales dataset.

4. The method of claim 1 wherein the fact data table is a syndicated sales dataset.

5. The method of claim 4 wherein the syndicated sales dataset is a scanner dataset.

6. The method of claim 4 wherein the syndicated sales dataset is an audit dataset.

7. The method of claim 4 wherein the syndicated sales dataset is a combined scanner-audit dataset.

8. The method of claim 1 wherein the fact data table is point-of-sale data.

9. The method of claim 1 wherein the fact data table is a syndicated causal dataset.

10. The method of claim 1 wherein the fact data table is an internal shipment dataset.

11. The method of claim 1 wherein the fact data table is an internal financials dataset.

12. The method of claim 1 wherein the data table includes dimension data.

13. The method of claim 12 wherein the dimension is a store.

14. The method of claim 12 wherein the dimension is a hierarchy.

15. The method of claim 12 wherein the dimension is a category.

16. The method of claim 12 wherein the dimension is a data segment.

17. The method of claim 12 wherein the dimension is a time.

18. The method of claim 12 wherein the dimension is a venue.

19. The method of claim 12 wherein the dimension is a geography.

20. The method of claim 12 wherein the dimension is a demographic.

21. The method of claim 12 wherein the dimension is a behavior.

22. The method of claim 12 wherein the dimension is a life stage.

23. The method of claim 12 wherein the dimension is a consumer segment.