System and Method to Build External Facing Information Platform to Generate Target List of Entities

• US 20140351043A1
• Filed: 05/23/2014
• Published: 11/27/2014
• Est. Priority Date: 05/24/2013
• Status: Active Grant

• Current Assignee: TATA Consultancy Services Limited (Tata Sons Pvt Ltd.)
• Original Assignee: TATA Consultancy Services Limited (Tata Sons Pvt Ltd.)
• Inventors: Agarwal, Ankur
• Granted Patent: US 10,453,091 B2
• Time in Patent Office: Days
• US Class Current: 705/14.49
• CPC Class Codes: G06Q 30/0251 Targeted advertisements

Abstract

Disclosed is a method and system to process data collected from different sources to generate target list of entities. The system comprises plurality of modules comprising integration module, data filtering module, privacy regulation module, analytical module and campaign execution module. Integration module integrates source databases to collect and store data in base data layer. Data filtering module pulls data and filter data to store informative data in data store. Privacy regulation module filters sensitive data to prepare informative data by applying privacy technique. Analytical module analyzes informative data and generates analytical score. Campaign execution module generates target list of entities by processing informative data with analytical score based on user'"'"'s request. User accesses informative data and analytical score through user interface wherein sensitive data associated with entity is hidden. Campaign is executed for target list of entities wherein entities are contacted to offer services from user.

Claims

1. A system to process data collected from at least one source to generate a target list of entities, the system comprising:

a processor; and

a memory coupled to the processor, wherein the processor is capable of executing a plurality of modules stored in the memory, and wherein the plurality of module comprises;

an integration module configured to integrate at least one source database to collect data and store the data in a base data layer;

a data preparation module configured to select the data from the base data layer and process the data to create and store a quantity of informative data in a data store, the data preparation module further comprising;

a privacy regulation module configured to process the quantity of informative data to deselect a quantity of sensitive data associated with the data by applying at least one privacy technique to protect the quantity of sensitive data;

an analytical module configured to analyze the quantity of informative data with respect to a predetermined analytical score of the quantity of informative data from the base data layer;

a campaign execution module configured to generate the target list of entities by processing the quantity of informative data upon receiving at least one request from a user, wherein the user accesses the quantity of informative data so protected and the predetermined analytical score with a user interface;

wherein the quantity of informative data and the predetermined analytical score are displayed to the user by hiding the quantity of sensitive data associated with an entity from the user.

2. The system of claim 1, wherein the entity includes at least one of a client, a customer, an organization, and an industry.

3. The system of claim 1, wherein the user includes at least one of a client, a customer organization, an industry, and a business group.

4. The system of claim 1, wherein the collected data further comprises at least one of customer data, customer usage data, financial product usage data, social website usage data, business directory data, campaign history and responses data.

5. The system of claim 1, wherein the memory further comprises a plug in module to support plug in of external tools in order to supply the data associated with the entity.

6. The system of claim 1, wherein the user accesses the quantity of informative data, and the predetermined analytical score, wherein the predetermined analytical score further comprise segmented information with at least one segment count.

7. The system of claim 1, wherein the memory further comprises a mapping module wherein the mapping module maps a user'"'"'s data with the quantity of informative data to enrich and generate the target list of entities.

8. The system of claim 1, wherein the campaign execution module is further configured to schedule and to execute a campaign for the target list of entities based on the at least one request from the user, wherein the entities are contacted to offer at least one service from the user.

9. The system of claim 1, wherein the at least one privacy technique applied by the privacy regulation module includes at least one of a masking technique and a filtration technique.

10. The system of claim 1, wherein the memory further comprises a categorization module configured to categorize the target list of entities by using a segmentation rule.

11. The system of claim 1, wherein the analytical module further generates at least one report with respect to the quantity of informative data.

12. A method to process data collected from at least one source to generate a target list of entities, the method comprising:

integrating at least one source database to collect data and store the data in a base data layer;

selecting the data from the base data layer and processing the data to create and store a quantity of informative data in a data store;

processing the quantity of informative data to deselect a quantity of sensitive data associated with the quantity of informative data by applying at least one privacy technique to protect the quantity of sensitive data;

analyzing the quantity of informative data with respect to a predetermined analytical score of the quantity of informative data from the base data layer; and

generating the target list of entities by processing the quantity of informative data upon receiving at least one request from a user, wherein the user accesses the quantity of informative data so protected and the predetermined analytical score, wherein the quantity of informative data and the predetermined analytical score are displayed to the user by hiding the quantity of sensitive data associated with an entity from the user.

13. The method of claim 12, wherein the entity includes at least one of a client, a customer, an organization, and an industry.

14. The method of claim 12, wherein the user is at least one of a client, a customer organization, an industry, and a business group.

15. The method of claim 12, wherein the collected data further comprises at least one of customer data, customer usage data, financial product usage data, social website usage data, business directory data, campaign history and responses data.

16. The method of claim 12, further comprising mapping uploaded data of the user with the quantity of informative data stored in the database to further generate the target list of entities.

17. The method of claim 12, further comprising scheduling and executing a campaign for the target list of entities based on the at least one request of the user, wherein the entities are contacted to offer at least one service from the user.

18. The method of claim 12, further comprising categorizing the target list of entities by using a segmentation rule.

19. The method of claim 13, further comprising generating at least one report with respect to the quantity of informative data.

20. A computer program product having embodied thereon a computer program to process data collected from at least one source to generate a target list of entities, the computer program product comprising:

a non-transitory computer readable medium and a quantity of computer program instructions, recorded on a plurality of program code stored in the non-transitory computer readable medium and executable by a processor, the plurality of program code comprising;

a program code for integrating at least one source database to collect data and store the data in a base data layer;

a program code for selecting the data from the base data layer and processing the data to create and store a quantity of informative data in a data store;

a program code for processing the quantity of informative data to deselect a quantity of sensitive data by applying at least one privacy technique to protect the quantity of sensitive data;

a program code for analyzing the quantity of informative data with respect to a predetermined analytical score of the quantity of informative data from the base data layer; and

a program code for generating the target list of entities by processing the quantity of informative data upon receiving at least one request from a user, wherein the user accesses the quantity of informative data so protected and the predetermined analytical score, wherein

the quantity of informative data and the predetermined analytical score are shown to the user by hiding the quantity of sensitive data associated with an entity from the user.