Communication Data Analysis and Processing System and Method

• US 20140324517A1
• Filed: 04/29/2014
• Published: 10/30/2014
• Est. Priority Date: 04/30/2013
• 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: Harris, William V.
• Granted Patent: US 10,706,377 B2
• Time in Patent Office: Days
• US Class Current: 705/7.27
• CPC Class Codes: G06Q 10/0633 Workflow analysis
• CPC Class Codes: Y02P 90/80 Management or planning

Abstract

Systems and methods are provided for assessing risks and efficiencies based on enterprise communications information. A method for assessing risks and efficiencies based on enterprise communications information may include: collecting information from digital data tools over at least one computer network into a storage database in a computer memory; executing instructions on a computer processor to synthesize the employee communications data into structured data; mining the structured data to generate exploratory data; performing analytics on the structured data to generate confirmatory data; disambiguating the confirmatory data and exploratory data; determining a business impact based on the exploratory and confirmatory data; and implementing a business process based on a quantification of said business impact.

Claims

1. A computer-implemented method for reducing organizational risk and optimizing organizational efficiency, the method comprising:

collecting information over a network from digital data sources, the information including at least communications data, wherein the communications data is defined by employee communications;

storing the collected information in a database located in a computer memory;

accessing the computer memory using at least one computer processor, the at least one computer processor executing instructions to perform steps including;

synthesizing the collected information to create structured data,

mining the structured data and analyzing the structured data to create exploratory data and confirmatory data,

disambiguating and analyzing the confirmatory data and the exploratory data to generate hypotheses;

determining business impacts based on the hypotheses, the business impacts including at least one of organizational risk threats and organizational inefficiencies; and

generating a business process to reduce at least one of the organizational risk threats and the organizational inefficiencies.

2. The method of claim 1, wherein disambiguating further comprises comparing the communications data from different sources.

3. The method of claim 1, wherein mining the structured data comprises establishing data maps, determining relationships between data variables and outputs, identifying information flow characteristics, and information content.

4. The method of claim 3, wherein analyzing the structured data further comprises detecting patterns and detecting outliers.

5. The method of claim 1, wherein collecting information from the digital data sources comprises applying business rules to parse the information.

6. The method of claim 1, wherein the step of generating a business process comprises populating a database with the exploratory data and the confirmatory data.

7. The method of claim 1, wherein the communications information includes direct data including email communications and telephone communications.

8. The method of claim 7, further comprising collecting chat system data, video conferencing data and calendar data.

9. The method of claim 7, wherein the communications information includes indirect communications data including collaboration tool data, internal forum data, and external forum data.

10. The method of claim 9, wherein the indirect data further includes contact lists and distribution lists.

11. The method of claim 1, wherein the information further comprises contextual and linking data, the contextual and linking data including at least two of:

organizational information, employee information, access rights, location data, surveys, system usage data, embedded monitoring data, and governance structures.

12. A computer-implemented system for reducing organizational risk and optimizing organizational efficiency, the system comprising:

at least one database stored in a computer memory, the database storing information collected over a network from digital data sources, the information including at least communications information, wherein the communications information is defined by employee communications;

at least one computer processor accessing the computer memory and executing instructions to perform steps including;

synthesizing the collected information to create structured data,

mining the structured data and analyzing the structured data to create exploratory data and confirmatory data,

disambiguating and analyzing the confirmatory data and the exploratory data;

determining business impacts including at least one of organizational risk threats and organizational inefficiencies based on the confirmatory and exploratory data; and

generating a business process to reduce at least one of the organizational risk threats and the organizational inefficiencies.

13. The system of claim 12, wherein disambiguating further comprises comparing the communications data from different sources.

14. The system of claim 12, wherein mining the structured data comprises establishing data maps, determining relationships between data variables and outputs, identifying information flow characteristics, and information content.

15. The system of claim 14, wherein analyzing the structured data further comprises detecting patterns and detecting outliers.

16. The system of claim 14, wherein collecting information from the digital data sources comprises applying business rules to parse the information.

17. The system of claim 12, wherein the step of generating a business process comprises populating a database with the exploratory data and the confirmatory data.

18. The system of claim 12, wherein the communications information includes direct data including email communications and telephone communications.

19. The system of claim 18, further comprising collecting chat system data, video conferencing data and calendar data.

20. The system of claim 18, wherein the communications information includes indirect communications data including collaboration tool data, internal forum data, and external forum data.

21. The system of claim 20, wherein the indirect data further includes contact lists and distribution lists.

22. The system of claim 12, wherein the information further comprises contextual and linking data, the contextual and linking data including at least two of:

organizational information, employee information, access rights, location data, surveys, system usage data, embedded monitoring data, and governance structures.