RELATIONSHIP ANALYSIS ENGINE

• US 20120117019A1
• Filed: 10/28/2011
• Published: 05/10/2012
• Est. Priority Date: 11/05/2010
• Status: Abandoned Application

• Current Assignee: Manu Rehani, Warren L. Wolf
• Original Assignee: DW Associates LLC
• Inventors: Wolf, Warren L., Rehani, Manu
• Application Number:
  US13/284,750
• Publication Number:
  US 20120117019A1
• Time in Patent Office: Days
• US Class Current: 706/52
• CPC Class Codes: G06Q 10/105 Human resources

Abstract

A relationship analysis engine includes a controller and a data miner to mine relationship information on a network. Sender nodes can be determined by the data miner or otherwise manually defined. Recipient nodes can be determined by the data miner or otherwise manually defined. An actionable analytics section analyzes messages that are transmitted between the sender nodes and the recipient nodes. The actionable analytics section produces historical analytics, real-time analytics, and predictive analytics associated with at least one relationship based on the analyzed transmitted messages and the mined relationship information. A relationship indicator is produced and displayed to represent the past, present, and predictive quality of relationship values associated with a relationship. The quality of relationship value can be determined, in part, by scores associated with waypoints in transitions between one quality of relationship value to another.

Claims

1. A relationship analysis engine, comprising:

a controller;

a data miner coupled to the controller and configured to mine relationship information on a network;

a plurality of sender nodes determined by the data miner, each sender node representing a sender of a message;

a plurality of recipient nodes determined by the data miner, each recipient node representing a receiver of a message; and

an actionable analytics section coupled to the controller and configured to analyze messages that are transmitted between the sender nodes and the recipient nodes,

wherein the actionable analytics section is configured to produce historical analytics, real-time analytics, and predictive analytics associated with at least one relationship based on the analyzed transmitted messages and the mined relationship information.

2. The relationship analysis engine of claim 1, wherein the actionable analytics section is configured to generate a relationship indicator for the at least one relationship, and the relationship indicator includes an indicator for (a) a past quality of relationship value associated with the historical analytics, (b) a present quality of relationship value associated with the real-time analytics, and (c) a predictive quality of relationship value associated with the predictive analytics.

3. The relationship analysis engine of claim 2, wherein the relationship indicator includes three adjacent icons, including:

a first icon indicating the past quality of relationship value;

a second icon indicating the present quality of relationship value; and

a third icon indicating the predictive quality of relationship value.

4. The relationship analysis engine of claim 3, wherein the relationship indicator is configured to indicate the past, present, and predictive quality of relationship values for users of a customer relationship management (CRM) system.

5. The relationship analysis engine of claim 3, wherein the relationship indicator is configured to indicate the past, present, and predictive quality of relationship values between an owner of a contact list and each of a plurality of contacts on the contact list.

6. The relationship analysis engine of claim 3, wherein the relationship indicator is configured to indicate the past, present, and predictive quality of relationship values between members of a social network.

7. The relationship analysis engine of claim 3, wherein:

the past quality of relationship value indicated by the first icon includes a representation for at least one of (a) productivity, (b) engagement, (c) confidence, (d) trust, (e) compliance, (f) apathy, (g) lethargy, and (g) breakdown;

the present quality of relationship value indicated by the second icon includes a representation for at least one of (a) productivity, (b) engagement, (c) confidence, (d) trust, (e) compliance, (f) apathy, (g) lethargy, and (g) breakdown; and

the predictive quality of relationship value indicated by the third icon includes a representation for at least one of (a) productivity, (b) engagement, (c) confidence, (d) trust, (e) compliance, (f) apathy, (g) lethargy, and (g) breakdown.

8. The relationship analysis engine of claim 7, further comprising a relationship analyzer to determine one or more waypoints between transitions from one quality of relationship value to another quality of relationship value.

9. The relationship analysis engine of claim 8, further comprising a score builder configured to assign a score to the one or more waypoints.

10. The relationship analysis engine of claim 9, wherein the score builder is configured to assign a score for each quality of relationship value including (a) productivity, (b) engagement, (c) confidence, (d) trust, (e) compliance, (f) apathy, (g) lethargy, and (g) breakdown.

11. The relationship analysis engine of claim 10, wherein the actionable analytics section is configured to produce the historical analytics, the real-time analytics, and the predictive analytics pertaining to the at least one relationship based on the score of the one or more waypoints and the score for the quality of relationship value.

12. The relationship analysis engine of claim 1, wherein the data miner is configured to automatically determine one or more contexts in which each message is transmitted between a sender node of the plurality of sender nodes and a recipient node of the plurality of receiver nodes.

13. The relationship analysis engine of claim 12, wherein the data miner is configured to automatically determine a timing sequence for when each message is transmitted between a sender node of the plurality of sender nodes and a recipient node of the plurality of recipient nodes.

14. The relationship analysis engine of claim 13, wherein the actionable analytics section is configured to produce the historical analytics, the real-time analytics, and the predictive analytics pertaining to the at least one relationship based on the one or more contexts and the timing sequence.

15. The relationship analysis engine of claim 1, further comprising a user interface configured to receive input from a user to manually define the plurality of sender nodes and the plurality of recipient nodes.

16. The relationship analysis engine of claim 1, further comprising a user interface configured to receive input from a user to manually define one or more contexts in which each message is transmitted between a sender node of the plurality of sender nodes and a recipient node of the plurality of recipient nodes.

17. The relationship analysis engine of claim 1, further comprising:

a corrections implementor coupled to the controller and configured to detect one or more inaccuracies in the mined relationship information and to automatically correct such inaccuracies;

an absence of interaction analyzer coupled to the controller and configured to detect an absence of interaction between a sender node of the plurality of sender nodes and a recipient node of the plurality of recipient nodes; and

a relationship analyzer coupled to the controller and configured to determine whether the at least one relationship is productive or non-productive,

wherein the actionable analytics section is configured to produce the historical analytics, the real-time analytics, and the predictive analytics using the corrected inaccuracies of the corrections implementor, the absence of interaction detection of the absence of interaction analyzer, and the determination of the relationship analyzer.

18. A method for analyzing relationships, comprising:

mining relationship information on a network;

defining a plurality of sender nodes, each sender node representing a sender of a message;

defining a plurality of recipient nodes, each sender node representing a receiver of a message;

analyzing messages that are transmitted between the sender nodes and the recipient nodes; and

producing historical analytics, real-time analytics, and predictive analytics associated with at least one relationship based on the analyzed transmitted messages and the mined relationship information.

19. The method of claim 18, wherein the at least one relationship is between the sender of the message and the receiver of the message, the method further comprising:

generating a relationship indicator for the at least one relationship, wherein generating the relationship indicator includes;

generating a past quality of relationship value associated with the historical analytics;

generating a present quality of relationship value associated with the real-time analytics; and

generating a predictive quality of relationship value associated with the predictive analytics;

displaying the relationship indicator, wherein displaying includes;

displaying a first icon indicating the past quality of relationship value;

displaying a second icon indicating the present quality of relationship value; and

displaying a third icon indicating the predictive quality of relationship value.

20. One or more tangible computer-readable media storing non-transitory computer-executable instructions that, when executed by a processor, operate to perform the method according to claim 18.