Method and Apparatus to Create a Mash-up of Social Media Data and Business Data to Derive Actionable Insights for the Business

• US 20140207561A1
• Filed: 03/21/2014
• Published: 07/24/2014
• Est. Priority Date: 02/15/2011
• Status: Active Grant

• Current Assignee: Dell Products LP (Dell Technologies Inc.)
• Original Assignee: Dell Products LP (Dell Technologies Inc.)
• Inventors: Dandekar, Shree A., Gupta, Munish
• Granted Patent: US 9,940,680 B2
• Time in Patent Office: Days
• US Class Current: 705/14.41
• CPC Class Codes: G06Q 30/0242 Determining effectiveness of advertisements
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

A method and system are disclosed for providing near-real-time actionable insights associated with user interactions within a social media environment. A first and second set of social media data, respectively associated with a first and second set of social media interactions, are processed to generate a first and second set of Social Network Advocacy Pulse (SNAP) data in near-real-time. The resulting first and second sets of SNAP data are then processed to generate a first and second set of actionable insight data, which respectively indicate a near-real-time measurement of sentiment and advocacy related to a predetermined business aspect. The first and second sets of social pricing index data are then processed to generate a set of actionable insight differential data, which indicates a corresponding improvement or decline in sentiment or advocacy related to the business aspect.

Claims

1. A computer-implementable method for providing near-real-time actionable insights associated with user interactions within a social media environment, comprising:

processing a first set of social media data to generate a first set of Social Network Advocacy Pulse (SNAP) metrics in near-real-time, the first set of social media data associated with a first set of user interactions within a social media environment corresponding to a business aspect;

processing a first set of related data associated with the business aspect to generate a first set of related metrics; and

processing the first set of SNAP metrics with the first set of related metrics to generate a first set of actionable insight data associated with the business aspect.

2. The method of claim 1, further comprising:

processing a second set of social media data to generate a second set of SNAP metrics in near-real-time, the second set of social media data associated with a second set of user interactions within a social media environment corresponding to the business aspect;

processing a second set of related data associated with the business aspect to generate a second set of related metrics; and

processing the second set of SNAP metrics with the second set of related metrics to generate a second set of actionable insight data associated with the business aspect.

3. The method of claim 2, further comprising:

processing the first set of actionable insight data to generate a first aggregate actionable insight value; and

processing the second set of actionable insight data to generate a second aggregate actionable insight value.

4. The method of claim 3, further comprising:

processing the first and second sets of actionable insight data to generate a set of actionable insight differential values; and

processing the first and second aggregate actionable insight values to generate an aggregate actionable insight differential value.

5. The method of claim 4, further comprising:

correlating a first individual user interaction within the first set of user interactions with a first subset of related data within the first set of related data, the first individual user interaction and the first subset of related data corresponding to identification data associated with a predetermined user; and

correlating a second individual user interaction within the second set of user interactions with a second subset of related data within the second set of related data, the second individual user interaction and the second subset of related data corresponding to the identification data associated with the predetermined user.

6. The method of claim 5, further comprising:

displaying, within a display window of a user interface, at least two members of the set of;

a first set of SNAP metrics;

a second set of SNAP metrics;

a first set of related metrics;

a second set of related metrics;

a first set of actionable insight data;

a second set of actionable insight data;

a first aggregate actionable insight value;

a second aggregate actionable insight value;

a set of actionable insight differential values;

an aggregate actionable insight differential value; and

identity data associated with a predetermined user.

7. A system comprising:

a processor;

a data bus coupled to the processor; and

a computer-usable medium embodying computer program code, the computer-usable medium being coupled to the data bus, the computer program code interacting with a plurality of computer operations for providing near-real-time actionable insights associated with user interactions within a social media environment and comprising instructions executable by the processor and configured for;

processing a first set of social media data to generate a first set of Social Network Advocacy Pulse (SNAP) metrics in near-real-time, the first set of social media data associated with a first set of user interactions within a social media environment corresponding to a business aspect;

processing a first set of related data associated with the business aspect to generate a first set of related metrics; and

processing the first set of SNAP metrics with the first set of related metrics to generate a first set of actionable insight data associated with the business aspect.

8. The system of claim 7, further comprising:

processing a second set of social media data to generate a second set of SNAP metrics in near-real-time, the second set of social media data associated with a second set of user interactions within a social media environment corresponding to the business aspect;

processing a second set of related data associated with the business aspect to generate a second set of related metrics; and

processing the second set of SNAP metrics with the second set of related metrics to generate a second set of actionable insight data associated with the business aspect.

9. The system of claim 8, further comprising:

processing the first set of actionable insight data to generate a first aggregate actionable insight value; and

processing the second set of actionable insight data to generate a second aggregate actionable insight value.

10. The system of claim 9, further comprising:

processing the first and second sets of actionable insight data to generate a set of actionable insight differential values; and

processing the first and second aggregate actionable insight values to generate an aggregate actionable insight differential value.

11. The system of claim 10, further comprising:

correlating a first individual user interaction within the first set of user interactions with a first subset of related data within the first set of related data, the first individual user interaction and the first subset of related data corresponding to identification data associated with a predetermined user; and

correlating a second individual user interaction within the second set of user interactions with a second subset of related data within the second set of related data, the second individual user interaction and the second subset of related data corresponding to the identification data associated with the predetermined user.

12. The system of claim 11, further comprising:

displaying, within a display window of a user interface, at least two members of the set of;

a first set of SNAP metrics;

a second set of SNAP metrics;

a first set of related metrics;

a second set of related metrics;

first set of actionable insight data;

a second set of actionable insight data;

a first aggregate actionable insight value;

a second aggregate actionable insight value;

a set of actionable insight differential values;

an aggregate actionable insight differential value; and

identity data associated with a predetermined user.

13. A non-transitory, computer-readable medium embodying computer program code, the computer program code comprising computer executable instructions configured for:

processing a first set of social media data to generate a first set of Social Network Advocacy Pulse (SNAP) metrics in near-real-time, the first set of social media data associated with a first set of user interactions within a social media environment corresponding to a business aspect;

processing a first set of related data associated with the business aspect to generate a first set of related metrics; and

processing the first set of SNAP metrics with the first set of related metrics to generate a first set of actionable insight data associated with the business aspect.

14. The non-transitory, computer-readable medium of claim 13, further comprising:

processing a second set of social media data to generate a second set of SNAP metrics in near-real-time, the second set of social media data associated with a second set of user interactions within a social media environment corresponding to the business aspect;

processing a second set of related data associated with the second business aspect to generate a second set of related metrics; and

processing the second set of SNAP metrics with the second set of related metrics to generate a second set of actionable insight data associated with the business aspect.

15. The non-transitory, computer-readable medium of claim 14, wherein:

processing the first set of actionable insight data to generate a first aggregate actionable insight value; and

processing the second set of actionable insight data to generate a second aggregate actionable insight value.

16. The non-transitory, computer-readable medium of claim 15, further comprising:

processing the first and second sets of actionable insight data to generate a set of actionable insight differential values; and

processing the first and second aggregate actionable insight values to generate an aggregate actionable insight differential value.

17. The non-transitory, computer-readable medium of claim 16, further comprising:

correlating a first individual user interaction within the first set of user interactions with a first subset of related data within the first set of related data, the first individual user interaction and the first subset of related data corresponding to identification data associated with a predetermined user; and

correlating a second individual user interaction within the second set of user interactions with a second subset of related data within the second set of related data, the second individual user interaction and the second subset of related data corresponding to the identification data associated with the predetermined user.

18. The non-transitory, computer-readable medium of claim 17, further comprising:

displaying, within a display window of a user interface, at least two members of the set of;

a first set of SNAP metrics;

a second set of SNAP metrics;

a first set of related metrics;

a second set of related metrics;

a first set of actionable insight data;

a second set of actionable insight data;

a first aggregate actionable insight value;

a second aggregate actionable insight value;

a set of actionable insight differential values;

an aggregate actionable insight differential value; and

identity data associated with a predetermined user.

19. The non-transitory, computer-readable medium of claim 13, wherein the computer executable instructions are deployable to a client computer from a server at a remote location.

20. The non-transitory, computer-readable medium of claim 13, wherein the computer executable instructions are provided by a service provider to a user on an on-demand basis.