GUIDED ANALYTICS

• US 20140095231A1
• Filed: 03/15/2013
• Published: 04/03/2014
• Est. Priority Date: 09/28/2012
• Status: Abandoned Application

• Current Assignee: TATA Consultancy Services Limited (Tata Sons Pvt Ltd.)
• Original Assignee: TATA Consultancy Services Limited (Tata Sons Pvt Ltd.)
• Inventors: Cherusseri, Suresh, Nagaranjan, Karuppiah
• Application Number:
  US13/841,394
• Publication Number:
  US 20140095231A1
• Time in Patent Office: Days
• US Class Current: 705/7.11
• CPC Class Codes: G06Q 10/063 Operations research, analysis or management
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data

Abstract

A method and a system described herein relate to guided analytics for analysis of data. In one implementation, the method includes acquiring enterprise data and external intelligence data, and identifying facts, which are measures, and attributes, which are indicative of a characteristic parameter to which the measures correspond, from the enterprise data and the external intelligence data. The method also includes identifying influencing links, where each of the influencing links is indicative of a relationship amongst the facts and the attributes. The method further includes analyzing the facts to obtain analyzed data and identifying at least one correlation in the analyzed data based on at least one of the influencing links and the external intelligence data. The analyzing is carried out using at least one predefined analytical model and is in relation to at least one of the attributes and at least one of the influencing links.

Claims

1. A method for guided analytics, the method comprising:

acquiring enterprise data;

acquiring external intelligence data, wherein the external intelligence data includes data related to external parameters influencing the enterprise data;

identifying facts from the enterprise data and the external intelligence data, wherein each of the facts is a measure in at least one of the enterprise data and the external intelligence data;

identifying attributes from the enterprise data and the external intelligence data, wherein each of the attributes is indicative of a characteristic parameter to which the measure corresponds;

identifying influencing links, wherein each of the influencing links is indicative of a relationship amongst the facts and the attributes;

analyzing the facts to obtain analyzed data, wherein the analyzing is carried out using at least one predefined analytical model, and wherein the analyzing is in relation to at least one of the attributes and at least one of the influencing links; and

identifying at least one correlation in the analyzed data based on at least one of the influencing links and the external intelligence data.

2. The method as claimed in claim 1 further comprises:

generating result data based on the analyzed data and the at least one correlation, wherein the result data is indicative of a behaviour of the enterprise data.

3. The method as claimed in claim 2 further comprising:

eliminating at least one outlier in the result data.

4. The method as claimed in claim 2 further comprising:

providing guidance based on the result data.

5. The method as claimed in claim 1 further comprising:

obtaining at least one of at least one influencer, at least one weightage factor and at least one predefined correlation rule associated with the enterprise data and the external intelligence data, wherein the identifying the at least one correlation is based on at least one of the at least one influencer, the at least one weightage factor and the at least one predefined correlation rule.

6. A guided analytics system comprising:

a processor; and

a memory coupled to the processor, wherein the memory comprises;

a data unification module configured to

acquire enterprise data and external intelligence data, wherein the external intelligence data includes data related to external parameters influencing the enterprise data;

identify facts from the enterprise data and the external intelligence data, wherein each of the facts is a measure in at least one of the enterprise data and the external intelligence data;

identify attributes from the enterprise data and the external intelligence data, wherein each of the attributes is indicative of a characteristic parameter to which the measure corresponds; and

identify influencing links, wherein each of the influencing links is indicative of a relationship amongst the facts and the attributes; and

a data analysis module configured to

analyze the facts to obtain analyzed data, wherein the facts are analyzed in relation to at least one of the attributes and at least one of the external intelligence data; and

identifying at least one correlation in the analyzed data based on at least one of the influencing links and the external intelligence data.

7. The guided analytics system as claimed in claim 6, wherein the enterprise data comprises at least one of product-wise sales and inventory, store-wise sales and inventory, date- and time-wise sales and inventory, product costs, store locations, product locations, profits, product profit margins, customer details, and product characteristics.

8. The guided analytics system as claimed in claim 6, wherein the external parameters comprises at least one of social media content, competitors, census and Growth Domestic Product.

9. The guided analytics system as claimed in claim 6 further comprises:

a result generating module configured to generate result data based on the analyzed data and the at least one correlation, wherein the result data is indicative of a behaviour of the enterprise data.

10. The guided analytics system as claimed in claim 9, wherein the data analysis module is further configured to eliminate at least one outlier in the result data.

11. The guided analytics system as claimed in claim 9, wherein the result generating module is further configured to provide guidance based on the result data.

12. The guidance analytics system as claimed in claim 6, wherein the data unification module is configured to obtain at least one of at least one influencer, at least one weightage factor and at least one predefined correlation rule associated with the enterprise data and the external intelligence data, wherein the identifying the at least one correlation is based on at least one of the at least one influencer, the at least one weightage factor and the at least one predefined correlation rule.

13. A non-transitory computer-readable medium having computer-executable instructions that when executed perform acts comprising:

acquiring enterprise data;

acquiring external intelligence data, wherein the external intelligence data includes data related to external parameters influencing the enterprise data;

identifying facts from the enterprise data and the external intelligence data, wherein each of the facts is a measure in at least one of the enterprise data and the external intelligence data;

identifying attributes from the enterprise data and the external intelligence data, wherein each of the attributes is indicative of a characteristic parameter to which the measure corresponds;

identifying influencing links, wherein each of the influencing links is indicative of a relationship amongst the facts and the attributes;

analyzing the facts to obtain analyzed data, wherein the analyzing is carried out using at least one predefined analytical model, and wherein the analyzing is in relation to at least one of the attributes and at least one of the influencing links;

identifying at least one correlation in the analyzed data based on at least one of the influencing links and the external intelligence data; and

generating result data based on the analysis data and the at least one correlation, wherein the result data is indicative of a behaviour of the enterprise data.

14. The non-transitory computer-readable medium as claimed in claim 13 further performs acts comprising:

eliminating at least one outlier in the result data.