Analytical system and method for assessing certain characteristics of organizations

• US 9,569,729 B1
• Filed: 07/20/2016
• Issued: 02/14/2017
• Est. Priority Date: 07/20/2016
• Status: Active Grant

• Current Assignee: Chenope Incorporated
• Original Assignee: Chenope Incorporated
• Inventors: Oehrle, Richard, Roberts, Steven Lee, Charnock, Elizabeth B, Saint-Amand, Katya, Dupont, Laurent Jean-Marc Guillaume
• Primary Examiner(s): Holmes, Michael B
• Application Number:
  US15/215,570
• Time in Patent Office: 209 Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 10/063 Operations research, analysis or management

Abstract

A computer readable medium for analyzing and predicting the future behavior of organizations is disclosed. An embodiment of this invention is comprised of one or more repositories of data which involve comments or other actions by actors with some kind of relationship to a target organization, a repository of metadata relating to this data, a repository of updatable models of organizations, a natural language parsing engine, and an engine for generating and comparing the organizational models.

Claims

1. A non-transient computer readable medium for causing a computer to perform the method of:

allowing the computer to receive an at least one body of data associated with an organization,

where the at least one body of data is comprised of being an at least one of the group of application data, databases, personnel records, survey and interview data, publicly and quasi-publicly available web data including logs, email communications, text communications, audio recordings, video recordings, images, electronic records, news articles, and records'"'"' contextual data;

where the application of the analytics engine is further comprised of the step of labeling elements of the at least one body of data with tags and other types of metadata;

determining with an analytics engine, for an author of data, an at least one property from the group of insider/outsider status, perspective, credibility score, sincerity, objectivity, actions, and demographic attributes;

applying the analytics engine for assessing properties being an at least one from the group of credibility, sincerity, objectivity, and knowledgeableness of authors;

determining with the analytics engine an at least one of the group of stability level, engagement levels, energy levels, organizational character, and culture properties;

determining the informational value property of data items;

applying the analytics engine for determining engagement and energy levels,

where the determination of engagement and energy levels comprises assessing an at least one of the group of attitudes, beliefs, sentiment, tone, observations, and actionable suggestions;

assessing organizational culture and character,

assessing an at least one abstract trait;

where the analytics engine further determines, for the organization, an assessment of an at least one from the group of future behavior, bases for past behavior, organizational character, organizational opportunities, benchmarking, and organizational adversities.

2. The computer readable medium of claim 1 where the method is further comprised of the step of allowing the medium to collect the at least one body of data.

3. The computer readable medium of claim 1 where the analytics engine is further comprised of the step of making predictions being an at least one of the organization'"'"'s stability, general psychological health, and trajectory;

and further comprising the step of applying the analytics engine to identify insiders relative to a target organization, and assessing an at least one of the group of organizational character, culture, engagement level, energy level and stability, by increasing the importance of insider data properties, filtering the importance of non-insider data in an assessment, and increasing the importance of more credible insiders.

4. The computer readable medium of claim 1 where the method is further comprised of the step of determining an at least one of the group of credibility, perspective, sincerity, objectivity, and substance.

5. The computer readable medium of claim 4 where the analytics engine normalizes an at least one of the group of credibility, perspective, sincerity, objectivity, and substance.

6. The computer readable medium of claim 1 where the method is further comprised of a step of assessing informational value properties to determine actionable suggestions and determine observations of the organization.

7. The computer readable medium of claim 1 where the analytics engine assesses the body of data for evidence of burstiness, comprised of the steps of

detecting activity, where activity is a frequent group of features,

determining baseline statistics,

assessing bursts of an activity that fall outside of the statistical model of the baseline.

8. The computer readable medium of claim 1 where the method is further comprised of analyzing textblocks and detecting for transmissions of information.

9. The computer readable medium of claim 1 where the method is further comprised of a step of providing interactive prompting to a user.

10. The computer readable medium of claim 1 further comprising assessing an at least one exit behavior.

11. The computer readable medium of claim 1 where a credibility score for an actor is comprised of assessing an at least one of the group of perspective score, sincerity score, objectivity score, and substance score.

12. The computer readable medium of claim 11 where assessing the sincerity score is comprised of assessing sincerity and assessing a probability that the actor is an outsider posing as a member.

13. The computer readable medium of claim 1 further comprising producing results for an interface to receive a matrix display.

14. The computer readable medium of claim 13 where the matrix display provides for displaying a user-selected demographic dimension being an at least one of the group of location, seniority, mood, topic, and topic area.

15. The computer readable medium of claim 14, where the dimensions further comprise an at least one icon per cell, layered according to frequency of sentiment.

16. The computer readable medium of claim 1, further comprising the step of providing data for displaying a mood cloud, where the mood cloud is comprised of font treatments to characterize the text for emphasizing an at least one characteristic selected from the group of loud talking, reference to a different organization, and reference of a fully expressed belief.

17. The computer readable medium of claim 1, further comprising the step of providing data for displaying a suggestion view, comprised of providing a suggestion box, and selection of an at least one of the group of topics, demographic attributes, and archetypes.

18. The computer readable medium of claim 17, further comprising the step of limiting the display of a specific suggestion to actionable suggestions.

19. The computer readable medium of claim 1, further comprising providing data for displaying archetypes by an avatar-display being an at least one of the group of an avatar, a static-image avatar, an avatar and a label, a demographically-distinguishing avatar, a psychologically-distinguishable avatar, and an avatar accompanied by a number of members corresponding to the archetype.

20. The computer readable medium of claim 1, further comprising the step of integrating different modalities from an at least one data source into an at least one parse tree, and mapping to an at least one unified meaning representation.

21. A system for analyzing and reporting on behavior of organizations, the system comprising:

input data of an at least one body of data associated with an organization,

where the at least one body of data is comprised of an at least one of the group of application data, databases, personnel records, survey and interview data, publicly and quasi-publicly available web data including logs, email communications, text communications, audio recordings, video recordings, images, electronic records, news articles, and records'"'"' contextual data;

an analytics engine, where the analytics engine labels elements of the at least one body of data with tags and other types of metadata;

the analytics engine determines, for an author of data, an at least one property from the group of insider/outsider status, perspective, credibility score, sincerity, objectivity, actions, and demographic attributes;

the analytics engine assesses an at least one additional property of authors selected from the group of credibility, sincerity, objectivity, and knowledgeableness;

the analytics engine assesses an at least one of the group of stability level, engagement levels, energy levels, organizational character, culture properties;

the analytics engine assesses informational value property of data items;

the analytics engine determines engagement and energy levels,

where the determination of engagement and energy levels comprises assessing an at least one of the group of attitudes, beliefs, sentiment, tone, observations, and actionable suggestions;

the analytics engine assesses organizational culture and character,

the analytics engine assesses an at least one abstract trait;

where the analytics engine further determines, for the organization, an assessment of an at least one from the group of future behavior, bases for past behavior, organizational character, organizational opportunities, benchmarking, and organizational adversities;

an interface for receiving comment groups and findings.

22. The system of claim 21, further comprising identification of sentiment context.

23. The system of claim 21 further comprising an interface for engaging results to bring up a display of comments correlated with an output analysis within a selected data set from the data source.

24. The system of claim 21, further comprising identification of archetypes in the analytics engine.

25. The system of claim 21 where the analytic engine comprises an elimination of data polluting the data source through statistical outlier analysis, and segregation of questionable data for removal of the user-adjudication queue.

26. The system of claim 21 further comprising an engine for considering bursts of data in a data set.

27. The system of claim 21, where the engine further comprises assessment of perspective and credibility based on written commentary, and measuring factors of pride or ownership in an organization.

28. The system of claim 21, further comprising:

a data store, where items are produced without modifying or updating existing data records, comprised of references that point to the data items derived from are also stored, and in which environment the store will be periodically scanned to compact data that has aged and remove data that is no longer reachable.

29. The system of claim 21, where the engine further comprises an analysis of textblocks and detecting for transmissions of information.

30. A non-transient computer readable medium for causing a computer to perform the method of:

allowing the computer to receive an at least one body of data associated with an organization,

assessing burstiness, comprised of the steps of

detecting activity, where activity is a frequent group of features,

determining baseline statistics,

assessing bursts of an activity that fall outside of the statistical model of the baseline.