DISTRIBUTED ONLINE COLLABORATION PLATFORM INCORPORATING UNSTRUCTURED AND STRUCTURED DATA

• US 20130024467A1
• Filed: 07/11/2012
• Published: 01/24/2013
• Est. Priority Date: 07/12/2011
• Status: Abandoned Application

• Current Assignee: SpearFysh, Inc.
• Original Assignee: SpearFysh, Inc.
• Inventors: Miller, Marc Terrence
• Application Number:
  US13/546,951
• Publication Number:
  US 20130024467A1
• Time in Patent Office: Days
• US Class Current: 707/756
• CPC Class Codes: G06Q 10/101 Collaborative creation, e.g. joint development of products or services
• CPC Class Codes: G06Q 30/01 Customer relationship services

Abstract

Methods and systems for facilitating collaboration among a plurality of geographically dispersed participants incorporating at least one of unstructured and structured data from the participants are disclosed. The unstructured and/or structured data may be synchronized from portable and other electronic devices to an online portal and may be normalized to facilitate collaboration via the online portal by other participants as well as additional processing by other legacy business software. The electronic device may include, for example, a smart pen or a smart phone or a desktop/laptop computer. The collaboration and additional processing may include, among others, at least one of searching, analyzing, coaching, sharing, auditing, business intelligence analysis, and business process application.

Claims

1. A method for processing complex human interaction (CHI) data using at least a computer executing computer readable instructions for performing at least a portion of said processing, comprising:

capturing, using a portable digital electronic device, unstructured session data pertaining to said CHI, said CHI pertaining to an interaction session between a first set of human stakeholders and a second set of human stakeholders;

annotating, using at least one of said portable digital electronic device and said computer, said unstructured session data with a set of metadata, thereby forming semi-structured data;

automatically normalizing, using said at least one of said portable digital electronic device and said computer, said semi-structured data to form normalized data, whereby said normalizing includes at least one of categorizing, sorting, automatic annotating, transcribing, concatenating, converting, and optical character recognition.

3. The method of claim 1 wherein said portable digital electronic device represents a smart phone.

5. The method of claim 1 wherein said annotating is performed automatically by electronic circuitry in said portable digital electronic device.

6. The method of claim 5 wherein said annotating employs automated handwriting analytic on said unstructured session data to derive said metadata.

7. The method of claim 5 wherein said annotating employs automated speech analytic on said unstructured session data to derive said metadata.

8. The method of claim 1 wherein said annotating is performed by one of said first set of human stakeholders via said at least one of said portable digital electronic device and said computer.

9. The method of claim 1 further comprising performing value-added processing on at least one of said semi-structured data and said normalized data.

10. The method of claim 9 wherein said value-added processing includes at least one of searching, analyzing, sharing, coaching using normalized structured data, indexing, annotating using speech/text analysis software, applying methodology, and applying framework.

11. The method of claim 1 further comprising automatically grading, said at least one of said portable digital electronic device and said computer, said semi-structured data against a predefined set of criteria, thereby deriving a set of grades.

12. The method of claim 11 further comprising generating, using at least said set of grades, at least one of feedback data and coaching data.

13. The method of claim 12 further comprising electronically communicating said at least one of said feedback data and said coaching data to at least a human stakeholder in said first set of human stakeholders.

14. The method of claim 1 wherein said unstructured session data includes at least audio data.

15. The method of claim 1 wherein said unstructured session data includes at least hand-written data that is created by a human stakeholder in said first set of human stakeholders.

2. The method of claim I wherein said portable digital electronic device represents a smart pen for simultaneously capture hand-written data and audio data.

4. The method of claim I wherein said portable digital electronic device represents a computer in tablet form.

16. A method for processing human sales session data using at least a computer executing computer readable instructions for performing at least a portion of said processing, comprising:

capturing, using a portable digital electronic device, unstructured session data pertaining to said human sales session, said human sales session pertaining to an interaction session between a first set of human stakeholders and a second set of human stakeholders;

annotating, using at least one of said portable digital electronic device and said computer, said unstructured session data with a set of metadata, thereby forming semi-structured data;

automatically normalizing, using said at least one of said portable digital electronic device and said computer, said semi-structured data to form normalized data, whereby said normalizing includes at least one of categorizing, sorting, automatic annotating, transcribing, concatenating, converting, and optical character recognition.

17. The method of claim 16 wherein said portable digital electronic device represents a smart pen for simultaneously capture hand-written data and audio data.

18. The method of claim 16 wherein said portable digital electronic device represents a smart phone.

19. The method of claim 16 wherein said portable digital electronic device represents a computer in tablet form.

20. The method of claim 16 wherein said annotating is performed automatically by electronic circuitry in said portable digital electronic device.

21. The method of claim 20 wherein said annotating employs automated handwriting analytic on said unstructured session data to derive said metadata.

22. The method of claim 20 wherein said annotating employs automated speech analytic on said unstructured session data to derive said metadata.

23. The method of claim 20 wherein said annotating is performed by one of said first set of human stakeholders via said at least one of said portable digital electronic device and said computer.

24. The method of claim 16 further comprising performing value-added processing on at least one of said semi-structured data and said normalized data.

25. The method of claim 24 wherein said value-added processing includes at least one of searching, analyzing, sharing, coaching using normalized structured data, indexing, annotating using speech/text analysis software, applying methodology, and applying framework.

26. The method of claim 16 further comprising automatically grading, said at least one of said portable digital electronic device and said computer, said semi-structured data against a predefined set of criteria, thereby deriving a set of grades.

27. The method of claim 26 further comprising generating, using at least said set of grades, at least one of feedback data and coaching data.

28. The method of claim 27 further comprising electronically communicating said at least one of said feedback data and said coaching data to at least a human stakeholder in said first set of human stakeholders.

29. The method of claim 16 wherein said unstructured session data includes at least audio data.

30. The method of claim 16 wherein said unstructured session data includes at least hand-written data that is created by a human stakeholder in said first set of human stakeholders.

31. Apparatus for processing complex human interaction (CHI) data between a first set of human stakeholders and a second set of human stakeholders, comprising:

at least a database for storing at least unstructured session data pertaining to said CHI, said CHI pertaining to an interaction session between said first set of human stakeholders and said second set of human stakeholders;

at least a computer executing computer readable instructions for performing at least automatically annotating said unstructured session data with a set of metadata, thereby forming semi-structured data and automatically normalizing said semi-structured data to form normalized data, whereby said normalizing includes at least one of categorizing, sorting, automatic annotating, transcribing, concatenating, converting, and optical character recognition.

32. The apparatus of claim 31 wherein said unstructured session data represents data uploaded from a smart phone.

33. The apparatus of claim 31 wherein said unstructured session data represents data uploaded from a computer in tablet form.

34. The apparatus of claim 31 wherein said annotating includes automated handwriting analytic on said unstructured session data to derive said metadata.

35. The apparatus of claim 31 wherein said annotating includes automated speech analytic on said unstructured session data to derive said metadata.

36. The apparatus of claim 31 wherein said computer further includes computer readable instructions for performing value-added processing on at least one of said semi-structured data and said normalized data.

37. The apparatus of claim 36 wherein said value-added processing includes at least one of searching, analyzing, sharing, coaching using normalized structured data, indexing, annotating using speech/text analysis software, applying methodology, and applying framework.

38. The apparatus of claim 31 wherein said computer further includes computer readable instruction for automatically grading said semi-structured data against a predefined set of criteria, thereby deriving a set of grades.

39. The apparatus of claim 38 wherein said computer further includes computer readable instruction for generating, using at least said set of grades, at least one of feedback data and coaching data.