Analytics toolkit system

• US 10,546,259 B2
• Filed: 08/25/2016
• Issued: 01/28/2020
• Est. Priority Date: 08/25/2016
• Status: Active Grant

• Current Assignee: Accenture Global Solutions Limited (Accenture PLC)
• Original Assignee: Accenture Global Solutions Limited (Accenture PLC)
• Inventors: Kilmartin, William, Sabety, Janette Pari, Elder, III, James L., Howard, Mark Hamilton, Hutchinson, Peter Charles
• Primary Examiner(s): Gart, Matthew S
• Assistant Examiner(s): Swartz, Stephen S
• Application Number:
  US15/247,069
• Publication Number:
  US 20180060780A1
• Time in Patent Office: 1,251 Days
• CPC Class Codes: G06Q 10/06316 Sequencing of tasks or work

Abstract

A device may communicate with a client device to provide, via a user interface of the client device, a set of prompts regarding an entity. The device may detect one or more user interactions with the user interface associated with indicating a set of responses to the set of prompts. The device may process data identifying the set of responses to the set of prompts to generate a set of scores for a set of recommendations based on processing the data identifying the set of responses to the set of prompts. The device may determine a ranking of the set of recommendations based on the set of scores. The device may select one or the set of recommendations based on the ranking. The device may communicate with the client device to provide information associated with the set of recommendations based on selecting the set of recommendations.

Claims

1. A device, comprising:

one or more processors to;

communicate with a client device to provide, via a user interface of the client device, a plurality of prompts regarding an entity,

a first set of prompts, of the plurality of prompts, being associated with a first assessment tool of an analytics toolkit and relating to a first sub-entity of the entity,

a second set of prompts, of the plurality of prompts, being associated with a second assessment tool of the analytics toolkit and relating to a second sub-entity of the entity;

detect one or more user interactions with the user interface associated with indicating a plurality of responses to the plurality of prompts;

obtain information regarding the entity;

generate quantified information regarding the entity based on applying a natural language processing technique to analyze the information regarding the entity;

process data identifying the plurality of responses to the plurality of prompts to generate a set of scores for a set of recommendations based on processing the data identifying the plurality of responses to the plurality of prompts and the quantified information regarding the entity,

where the one or more processors, when processing the data identifying the plurality of responses to the plurality of prompts and the quantified information regarding the entity, are to;

operate the first assessment tool, on the information regarding the entity, to generate a result,

determine an order of assessment tools to be operated after the first assessment tool based on the result, and

operate the assessment tools, on the information regarding the entity, in the order,

 

where operating the first assessment tool and the assessment tools integrates a function that is to be performed by multiple assessment tools, selected among the first assessment tool and the assessments tools, into a single function,

 

the single function reusing information obtained from the single function with the multiple assessment tools, and

 

the single function reducing utilization of processing resources relative to performing the function separately during operation of the multiple assessment tools;

determine a ranking of the set of recommendations based on the set of scores;

select one or the set of recommendations based on the ranking; and

communicate with the client device to provide, via the user interface of the client device, information associated with the set of recommendations based on selecting the set of recommendations.

2. The device of claim 1, where the one or more processors are further to:

obtain other data regarding a plurality of other entities; and

where the one or more processors, when processing the data to generate the set of recommendations, are to;

process the data and the other data to generate a set of similarity scores for the plurality of other entities,

the set of similarity scores relating to a similarity between the plurality of other entities and the entity;

select a particular other entity, of the plurality of other entities, based on a particular similarity score, of the set of similarity scores, relating to the particular other entity; and

determine a particular recommendation, of the set of recommendations, relating to causing a first procedure of the entity to match a second procedure of the particular other entity based on selecting the particular other entity.

3. The device of claim 2, where the one or more processors, when generating the set of similarity scores for the plurality of other entities, are to:

generate the set of similarity scores based on at least one of;

an industry of the plurality of other entities,

a size of the plurality of other entities,

an organizational structure of the plurality of other entities,

a type of the plurality of other entities,

a geographic location of the plurality of other entities, or

a ranking of the plurality of other entities.

4. The device of claim 1, where the one or more processors are further to:

determine a set of best practices relating to the first sub-entity that are not implemented for the entity; and

where the one or more processors, when processing the data to generate the set of recommendations, are to;

process the data to generate a particular recommendation, of the set of recommendations, relating to implementing the set of best practices relating to the first sub-entity,

the set of best practices relating to the first sub-entity being determined, based on processing the data, to be associated with an improvement to the second sub-entity.

5. The device of claim 1, where the one or more processors are further to:

identify a set of response actions associated with the set of recommendations; and

transmit information to automatically implement the set of response actions.

6. The device of claim 5, where the one or more processors, when transmitting the information to automatically implement the set of response actions, are to:

transmit an alert to cause an audit of the first sub-entity based on information obtained from the second assessment tool associated with the second sub-entity.

7. The device of claim 5, where the one or more processors, when transmitting the information to automatically implement the set of response actions, are to:

transmit an alert, identifying a training program, for display via the user interface.

8. A method, comprising:

communicating, by a device and with a client device, to provide, via a user interface of the client device, a plurality of prompts regarding an entity,

a first set of prompts, of the plurality of prompts, being associated with a first assessment tool of an analytics toolkit and relating to a first sub-entity of the entity,

a second set of prompts, of the plurality of prompts, being associated with a second assessment tool of the analytics toolkit and relating to a second sub-entity of the entity;

detecting, by the device, one or more user interactions with the user interface associated with indicating a plurality of responses to the plurality of prompts;

obtaining, by the device, information regarding the entity;

generating, by the device, quantified information regarding the entity based on applying a natural language processing technique to analyze the information regarding the entity;

processing, by the device, data identifying the plurality of responses to the plurality of prompts to generate a set of scores for a set of recommendations based on processing the data identifying the plurality of responses to the plurality of prompts and the quantified information regarding the entity,

where processing the data identifying the plurality of responses to the plurality of prompts and the quantified information regarding the entity comprises;

operating the first assessment tool, on the information regarding the entity, to generate a result,

determining an order of assessment tools to be operated after the first assessment tool based on the result, and

operating the assessment tools, on the information regarding the entity, in the order,

where operating the first assessment tool and the assessment tools integrates a function that is to be performed by multiple assessment tools, selected among the first assessment tool and the assessments tools, into a single function,

the single function reusing information obtained from the single function with the multiple assessment tools, and

the single function reducing utilization of processing resources relative to performing the function separately during operation of the multiple assessment tools;

determining, by the device, a ranking of the set of recommendations based on the set of scores;

selecting, by the device, one or the set of recommendations based on the ranking; and

communicating, by the device, with the client device to provide, via the user interface of the client device, information associated with the set of recommendations based on selecting the set of recommendations.

9. The method of claim 8, further comprising:

obtaining other data regarding a plurality of other entities; and

where processing the data to generate the set of recommendations comprises;

processing the data and the other data to generate a set of similarity scores for the plurality of other entities,

the set of similarity scores relating to a similarity between the plurality of other entities and the entity;

selecting a particular other entity, of the plurality of other entities, based on a particular similarity score, of the set of similarity scores, relating to the particular other entity; and

determining a particular recommendation, of the set of recommendations, relating to causing a first procedure of the entity to match a second procedure of the particular other entity based on selecting the particular other entity.

10. The method of claim 9, where generating the set of similarity scores for the plurality of other entities comprises:

generating the set of similarity scores based on at least one of;

an industry of the plurality of other entities,

a size of the plurality of other entities,

an organizational structure of the plurality of other entities,

a type of the plurality of other entities,

a geographic location of the plurality of other entities, or

a ranking of the plurality of other entities.

11. The method of claim 8, further comprising:

determining a set of best practices relating to the first sub-entity that are not implemented for the entity; and

where processing the data to generate the set of recommendations comprises;

processing the data to generate a particular recommendation, of the set of recommendations, relating to implementing the set of best practices relating to the first sub-entity,

the set of best practices relating to the first sub-entity being determined, based on processing the data, to be associated with an improvement to the second sub-entity.

12. The method of claim 8, further comprising:

identifying a set of response actions associated with the set of recommendations; and

transmitting information to automatically implement the set of response actions.

13. The method of claim 12, where transmitting the information to automatically implement the set of response actions comprises:

transmitting an alert to cause an audit of the first sub-entity based on information obtained from the second assessment tool associated with the second sub-entity.

14. The method of claim 12, where transmitting the information to automatically implement the set of response actions comprises:

transmitting an alert, identifying a training program, for display via the user interface.

15. A non-transitory computer-readable medium storing instructions, the instructions comprising:

one or more instructions that, when executed by one or more processors, cause the one or more processors to;

communicate with a client device to provide, via a user interface of the client device, a plurality of prompts regarding an entity,

a first set of prompts, of the plurality of prompts, being associated with a first assessment tool of an analytics toolkit and relating to a first sub-entity of the entity, and

a second set of prompts, of the plurality of prompts, being associated with a second assessment tool of the analytics toolkit and relating to a second sub-entity of the entity;

detect one or more user interactions with the user interface associated with indicating a plurality of responses to the plurality of prompts;

obtain information regarding the entity;

generate quantified information regarding the entity based on applying a natural language processing technique to analyze the information regarding the entity;

process data identifying the plurality of responses to the plurality of prompts to generate a set of scores for a set of recommendations based on processing the data identifying the plurality of responses to the plurality of prompts and the quantified information regarding the entity,

where the one or more instructions, when executed by the one or more processors to process the data identifying the plurality of responses to the plurality of prompts and the quantified information regarding the entity, cause the one or more processors to;

operate the first assessment tool, on the information regarding the entity, to generate a result,

determine an order of assessment tools to be operated after the first assessment tool based on the result, and

operate the assessment tools, on the information regarding the entity, in the order,

 

where operating the first assessment tool and the assessment tools integrates a function that is to be performed by multiple assessment tools, selected among the first assessment tool and the assessments tools, into a single function,

 

the single function reusing information obtained from the single function with the multiple assessment tools, and

 

the single function reducing utilization of processing resources relative to performing the function separately during operation of the multiple assessment tools;

determine a ranking of the set of recommendations based on the set of scores;

select one or the set of recommendations based on the ranking; and

communicate with the client device to provide, via the user interface of the client device, information associated with the set of recommendations based on selecting the set of recommendations.

16. The non-transitory computer-readable medium of claim 15, where the one or more instructions, when executed by the one or more processors, further cause the one or more processors to:

obtain other data regarding a plurality of other entities; and

where the one or more instructions, when executed by the one or more processors to process the data to generate the set of recommendations, cause the one or more processors to;

process the data and the other data to generate a set of similarity scores for the plurality of other entities,

the set of similarity scores relating to a similarity between the plurality of other entities and the entity;

select a particular other entity, of the plurality of other entities, based on a particular similarity score, of the set of similarity scores, relating to the particular other entity; and

determine a particular recommendation, of the set of recommendations, relating to causing a first procedure of the entity to match a second procedure of the particular other entity based on selecting the particular other entity.

17. The non-transitory computer-readable medium of claim 16, where the one or more instructions, that cause the one or more processors to generate the set of similarity scores for the plurality of other entities, cause the one or more processors to:

generate the set of similarity scores based on at least one of;

an industry of the plurality of other entities,

a size of the plurality of other entities,

an organizational structure of the plurality of other entities,

a type of the plurality of other entities,

a geographic location of the plurality of other entities, or

a ranking of the plurality of other entities.

18. The non-transitory computer-readable medium of claim 15, where the one or more instructions, when executed by the one or more processors, further cause the one or more processors to:

determine a set of best practices relating to the first sub-entity that are not implemented for the entity; and

where the one or more instructions that cause the one or more processors to process the data to generate the set of recommendations, are to;

process the data to generate a particular recommendation, of the set of recommendations, relating to implementing the set of best practices relating to the first sub-entity,

the set of best practices relating to the first sub-entity being determined, based on processing the data, to be associated with an improvement to the second sub-entity.

19. The non-transitory computer-readable medium of claim 15, where the one or more instructions, when executed by the one or more processors, further cause the one or more processors to:

identify a set of response actions associated with the set of recommendations; and

transmit information to automatically implement the set of response actions.

20. The non-transitory computer-readable medium of claim 19, where the one or more instructions, that cause the one or more processors to transmit the information to automatically implement the set of response actions, cause the one or more processors to:

transmit an alert to cause an audit of the first sub-entity based on information obtained from the second assessment tool associated with the second sub-entity; and

transmit an alert, identifying a training program, for display via the user interface.