Data analysis using graphical visualization

• US 20070022000A1
• Filed: 07/22/2005
• Published: 01/25/2007
• Est. Priority Date: 07/22/2005
• Status: Abandoned Application

• Current Assignee: Accenture Global Services Limited (Accenture PLC)
• Original Assignee: Accenture LLP (Accenture PLC)
• Inventors: Bodart, Andrew, Vallier, William
• Application Number:
  US11/186,819
• Publication Number:
  US 20070022000A1
• Time in Patent Office: Days
• US Class Current: 705/10
• CPC Class Codes: G06F 16/2264 Multidimensional index structures
• CPC Class Codes: G06Q 10/0639 Performance analysis of employees; Performance analysis of enterprise or organisation operations
• CPC Class Codes: G06Q 10/10 Office automation; Time management

Abstract

Methods and systems are provided for creating interactive graphical representations (e.g., interactive radial graphs) of operational data in order to enhance root cause analysis and other forms of operational analysis. Graphical nodes represent potential sources of operational variations. Graphical edges linking nodes represent relationships among the potential sources. Graphs may be useful in assessing inefficiencies in call center operations, manufacturing processes, and other processes.

Claims

1. A computer-implemented method for visualizing call center operational data, the method comprising:

receiving analyzed process data, wherein the analyzed process data comprises operational measurements pertaining to one or more call centers, and wherein the measurements have been analyzed to determine variation from a standard;

transforming the analyzed process data to produce a radial graph, wherein the radial graph comprises nodes representing potential sources of variation and the radial graph also comprises one or more edges representing relationships among the potential sources of variation; and

enabling interactive adjustment of the radial graph.

17. The computer-implemented method of claim 1, wherein the analyzed process data further comprises a percentage interaction volume.

2. A computer-implemented method for visualizing process variation, the method comprising:

receiving analyzed process data, wherein the analyzed process data comprises data measurements pertaining to a process, and wherein the measurements have been analyzed to determine process variation;

transforming the analyzed process data to produce a graphical representation, wherein the graphical representation comprises visual cues representing potential sources of process variation and one or more relationships among the potential sources of process variation; and

enabling interactive adjustment of the graphical representation.

3. The computer-implemented method of claim 2, wherein the analyzed process data further comprises a percentage deviation value.

4. The computer-implemented method of claim 3, wherein the analyzed process data further comprises a relevance score.

5. The computer-implemented method of claim 4, wherein the analyzed process data comprises call center operational measurements.

6. The computer-implemented method of claim 4, wherein the analyzed process data comprises pharmaceutical clinical trial measurements.

7. The computer-implemented method of claim 4, wherein the analyzed process data comprises healthcare claims processing measurements.

8. The computer-implemented method of claim 4, wherein the analyzed process data comprises insurance claims and adjustments measurements.

9. The computer-implemented method of claim 4, wherein the analyzed process data comprises retail operational measurements.

10. The computer-implemented method of claim 4, wherein the analyzed process data comprises financial institution lending decision support measurements.

11. The computer-implemented method of claim 4, wherein the analyzed process data comprises supply chain operational measurements.

12. The computer-implemented method of claim 2, wherein the graphical representation comprises a radial graph.

13. The computer-implemented method of claim 12, wherein a first node in the radial graph represents a first potential source of process variation.

14. The computer-implemented method of claim 13, wherein a second node in the radial graph represents a second potential source of process variation, and an edge in the radial graph linking the first node and the second node represents a relevance between the first and the second potential sources of process variation.

15. The computer-implemented method of claim 2, wherein the graphical representation comprises a tree graph.

16. The computer-implemented method of claim 2, wherein transforming the analyzed process data comprises generating extensible mark-up language (XML).

18. A system for creating an interactive visual representation of analyzed process data, the system comprising:

a display, for displaying the interactive visual representation;

an input device;

a memory, for storing analyzed process data, wherein the analyzed process data comprises data measurements pertaining to a process, and wherein the measurements have been analyzed to determine process variation; and

a processor, configured to perform steps of;

retrieving the analyzed process data from the memory;

converting a first set of values from the analyzed process data into graphical nodes for display in the interactive visual representation;

converting a second set of values from the analyzed process data into graphical edge for display in the interactive visual representation, wherein each graphical edge is associated with at least one node;

receiving a selection of a node from the input device; and

modifying the layout of the interactive visual representation based on the selection of the node.

19. The system of claim 18, wherein the interactive visual representation comprises a radial graph.

20. The system of claim 19, wherein a first node in the radial graph represents a first potential source of process variation.

21. The system of claim 20, wherein a second node in the radial graph represents a second potential source of process variation, and an edge in the radial graph linking the first node and the second node represents a relevance between the first and the second potential sources of process variation.

22. The system of claim 21, wherein modifying the layout of the interactive visual representation based on the selection of the node comprises re-centering the layout around a selected node.

23. The system of claim 18, wherein the interactive visual representation comprises a tree graph.

24. The system of claim 18, wherein the analyzed process data comprises call center operational data.

25. The system of claim 18, wherein the analyzed process data comprises pharmaceutical clinical trial measurements.

26. The system of claim 18, wherein the analyzed process data comprises healthcare claims processing measurements.

27. The system of claim 18, wherein the analyzed process data comprises insurance claims and adjustments measurements.

28. The system of claim 18, wherein the analyzed process data comprises retail operational measurements.

29. The system of claim 18, wherein the analyzed process data comprises financial institution lending decision support measurements.

30. The system of claim 18, wherein the analyzed process data comprises supply chain operational measurements.

31. A computer-implemented method for analyzing operational data, the method comprising:

receiving operational data;

determining operational variations based on the operational data;

rendering a graphical representation to display potential sources of the operational variations as nodes;

rendering the graphical representation to display relationships between the potential sources of operation variations as edges between the nodes; and

enabling interactive manipulation of the graphical representation.

32. The computer-implemented method of claim 31, wherein the interactive visual representation comprises a radial graph.

33. The computer-implemented method of claim 32 further comprising rendering the thickness of the edges between the nodes based on a determined relevance value.

34. The computer-implemented method of claim 33, wherein only those potential sources of operational variation that are directly relevant to an analysis are displayed on the radial graph.

35. The computer-implemented method of claim 31, wherein the interactive visual representation comprises a tree graph.