Data analysis and visualization method

• US 20070192151A1
• Filed: 01/29/2007
• Published: 08/16/2007
• Est. Priority Date: 01/27/2006
• Status: Abandoned Application

• Current Assignee: Christopher William Doylend, Gordon Freedman, William Derek Finley
• Original Assignee: Christopher William Doylend, Gordon Freedman, William Derek Finley
• Inventors: Freedman, Gordon, Finley, William Derek, Doylend, Christopher William
• Application Number:
  US11/698,959
• Publication Number:
  US 20070192151A1
• Time in Patent Office: Days
• US Class Current: 345/419
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/10 Office automation; Time management

Abstract

Analyzing data relating to an organization is performed by defining interconnections between data nodes belonging to a first organizational chart of the organization and data nodes belonging to a second organizational chart of the organization. Typically, the defined interconnections are for correlating the first organizational chart and the second organizational chart in three-dimensions so as to provide a three-dimensional data visualization structure of the organization. Data relating to the organization is mapped onto the three-dimensional data visualization structure using a predetermined process. The mapped data is then correlated against known template data having a relation to categories of organizational structure. Finally, data indicative of the category of the organizational structure is provided.

Claims

1. A method of analyzing data relating to an organization, comprising;

defining interconnections between data nodes belonging to a first organizational chart of the organization and data nodes belonging to a second organizational chart of the organization, the defined interconnections for correlating the first organizational chart and the second organizational chart in three-dimensions so as to provide a three-dimensional data visualization structure of the organization;

mapping data relating to the organization onto the three-dimensional data visualization structure using a predetermined process;

correlating the mapped data against known template data having a relation to categories of organizational structure; and

,

providing data indicative of the category of the organizational structure.

2. A method according to claim 1, comprising displaying the three-dimensional data visualization structure with mapped data overlaid thereupon for being viewed by a user.

3. A method according to claim 1, wherein correlating comprises correlating portions of the mapped data with template data to identify within an organization patterns of organization.

4. A method according to claim 3 wherein correlating is performed iteratively to identify a set of organization patterns.

5. A method according to claim 3 wherein correlating is performed recursively to identify a set of organization patterns.

6. A method according to claim 1, wherein correlating comprises correlating portions of the mapped data with template data in a time varying fashion to identify within the organization trends.

7. A method according to claim 6 wherein correlating is performed iteratively to identify a set of organizational trends.

8. A method according to claim 6 wherein correlating is performed recursively to identify a set of organizational trends.

9. A method according to claim 1 wherein the template data relates to known organizational categories and a suggested course of action and comprising:

providing an indication of the suggested course of action for each identified category.

10. A method of analyzing data relating to an organization, comprising;

providing a three-dimensional data visualization structure of the organization, the three-dimensional data visualization structure comprising N organizational charts distributed on a surface of a three-dimensional shape, each one of the N organizational charts comprising a plurality of data nodes, and at least some of the plurality of data nodes in each one of the N organizational charts being interconnected with a data node in another one of the N organizational charts;

mapping data relating to the organization onto the three-dimensional data visualization structure, the data relating to an attribute of one of the data nodes in one of the N organizational charts;

updating attributes of data nodes in any of the N organizational charts that are interconnected with the one of the data nodes; and

,

displaying the three-dimensional data visualization structure with updated attributes for being viewed by a user.

11. A method according to claim 10, wherein the attribute relates to other than organizational-structure related data.

12. A method according to claim 10, comprising displaying the three-dimensional data visualization structure with mapped data overlaid thereupon for being viewed by a user.

13. A method according to claim 10, comprising:

correlating portions of the mapped data with template data to identify within an organization patterns of organization.

14. A method according to claim 13 comprising:

correlating attribute data within the identified organization patterns.

15. A method according to claim 14, wherein correlating comprises correlating the portions of the mapped data with the template data in a time varying fashion to identify within the organization trends.

16. A method according to claim 15 wherein the template data relates to known organizational categories and known attribute values within those known organizational categories and a suggested course of action and comprising:

providing an indication of the suggested course of action for each identified category.

17. A method according to claim 13 wherein the template data relates to known organizational categories and a suggested course of action and comprising:

providing an indication of the suggested course of action for each identified category.

18. A computer-readable storage medium having stored thereon computer-executable instructions for performing a method of analyzing data relating to an organization, the method comprising:

defining interconnections between data nodes belonging to a first organizational chart of the organization and data nodes belonging to a second organizational chart of the organization, the defined interconnections for correlating the first organizational chart and the second organizational chart in three-dimensions so as to provide a three-dimensional data visualization structure of the organization;

mapping data relating to the organization onto the three-dimensional data visualization structure using a predetermined process;

correlating the mapped data against known template data having a relation to categories of organizational structure; and

,

providing data indicative of the category of the organizational structure.