WARRANTY INSIGHT SOLUTION FRAMEWORK SYSTEM AND METHOD

• US 20090112907A1
• Filed: 10/30/2007
• Published: 04/30/2009
• Est. Priority Date: 10/30/2007
• Status: Active Grant

• Current Assignee: Wipro Limited
• Original Assignee: Wipro Limited
• Inventors: Mukherjee, Partha, Batagurki, Anand Vasant, Itagi, Sanjeev K.
• Granted Patent: US 8,065,334 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 2216/03 Data mining
• CPC Class Codes: G06Q 10/10 Office automation; Time management

Abstract

A system and method of warranty insight solution are disclosed. In one embodiment, a method includes populating a data mart with data from a number of sources, text analyzing and mining the unstructured data of the data mart according to a uniform structure, performing root cause analysis assistance on staged data mart data, generating root cause analysis output from the root cause analysis, merging the root cause analysis output with the data of the data mart, and generating final output based on a portion of the merged data of the data mart. The data may include data selected from a group including warranty claim data, traceability data, supplier data, manufacturer data, retailer data, customer data, component data, service data, failure data, field data, vehicle failure fault codes trough telematics, and collection center data.

Claims

1. A method comprising:

populating a data mart with data from a plurality of sources;

text analyzing and mining the unstructured data of the data mart according to a uniform structure;

performing root cause analysis assistance on staged data mart data;

generating root cause analysis output from the root cause analysis;

merging the root cause analysis output with the data of the data mart; and

generating final output based on at least a portion of the merged data of the data mart.

2. The method of claim 1, wherein the data comprise data selected from the group consisting of warranty claim data, traceability data, supplier data, manufacturer data, retailer data, customer data, component data, service data, failure data, field data, vehicle failure fault codes through telematics and collection center data.

3. The method of claim 1, wherein the plurality of sources comprises sources selected from the group consisting of suppliers, manufacturers, retailers, customers, field sources, vehicle telematics and collection centers.

4. The method of claim 1, further comprising extracting meaning out of unstructured data through the text analyzing and mining the unstructured data and consolidating structured data.

5. The method of claim 1, wherein generating the root cause analysis output from the root cause analysis comprises populating the data mart with the root cause analysis output.

6. The method of claim 1, wherein generating the final output comprises output selected from the group consisting of:

generating a parts failure and diagnostics support knowledge base;

generating an extended warranty product design;

generating a reinsurance cover decision;

generating predictive analytics leading to future claim rates, cost estimations and warranty budgeting;

generating design improvements;

generating early warnings and managing recalls;

providing spare parts management support;

monitoring warranty performance; and

determining supplier recovery information.

7. The method of claim 6, wherein generating the parts failure and diagnostics support knowledge base comprises at least one of:

integrating service knowledge into the parts failure and diagnostics support knowledge base;

hosting the parts failure and diagnostics support knowledge base on a knowledge management site; and

generating service training related reports associated with the parts failure and diagnostics support knowledge base.

8. The method of claim 6, wherein generating the predictive analytics based on the final output comprises at least one of generating warranty budgets and relevant predictions.

9. The method of claim 6, wherein the generating early warnings and managing recalls based on the final output comprises at least one of:

predicting future failures;

generating recalls; and

managing spare parts.

10. The method of claim 6, wherein monitoring the warranty performance based on the final output comprises generating dashboards with alerts and reports.

11. The method of claim 1 in a form of a machine-readable medium embodying a set of instructions that, when executed by a machine, causes the machine to perform the method of claim 1.

12. A system, comprising:

a data mart populated with data from a plurality of sources;

a text mining and analytics module to structure the unstructured data of the data mart according to a uniform structure;

an analysis module to assist root cause analysis on staged data mart data;

a root cause analysis output module to generate root cause analysis output from the root cause analysis;

a merge module to merge the root cause analysis output with the data of the data mart; and

a final output module to generate final output based on at least a portion of the merged data of the data mart.

13. The system of claim 12, wherein the data comprise data selected from the group consisting of warranty claim data, traceability data, supplier data, manufacturer data, retailer data, customer data, component data, service data, failure data, field data, vehicle failure fault codes through telematics and collection center data.

14. The system of claim 12, wherein the plurality of sources comprise sources selected from the group consisting of suppliers, manufacturers, retailers, customers, field sources, vehicle telematics and collection centers.

15. The system of claim 12, further comprising a consolidation module to extract meaning out of the unstructured data through the text analyzing and mining the unstructured data and to consolidate structured data.

16. The system of claim 12, wherein the data mart is populated with the root cause analysis output.

17. The system of claim 12, wherein the final output module is associated with generation of output selected from the group consisting of:

a parts failure and diagnostics support knowledge base;

an extended warranty product design;

a reinsurance cover decision;

predictive analytics leading to future claim rates, cost estimations and warranty budgeting;

design improvement methodologies;

early warnings and recall management methodologies;

providing spare parts management support;

warranty performance monitoring methodologies; and

supplier recovery information determinations.

18. The system of claim 17, wherein the parts failure and diagnostics support knowledge base further comprises at least one of:

service knowledge integrated into the parts failure and diagnostics support knowledge base;

a knowledge management site hosting the parts failure and diagnostics support knowledge base; and

service training related reports associated with the parts failure and diagnostics support knowledge base.

19. The system of claim 17, wherein the predictive analytics comprise at least one of warranty budgets and relevant predictions.

20. The system of claim 17, wherein the early warnings and recall management methodologies comprise at least one of:

future failure predictions;

recalls management; and

spare parts management.

21. The system of claim 17, wherein the warranty performance monitoring methodologies comprise generation of dashboards with alerts and reports.

22. An article, comprising:

a storage medium having instructions, that when executed by a computing platform, result in execution of a method of generating parallelizable application units, comprising;

populating a data mart with data from a plurality of sources;

text analyzing and mining the unstructured data of the data mart according to a uniform structure;

performing root cause analysis assistance on staged data mart data;

generating root cause analysis output from the root cause analysis;

merging the root cause analysis output with the data of the data mart; and

generating final output based on at least a portion of the merged data of the data mart.

23. The article of claim 22, wherein the data comprises data selected from the group consisting of warranty claim data, traceability data, supplier data, manufacturer data, retailer data, customer data, component data, service data, failure data, field data, vehicle failure fault codes through telematics and collection center data.

24. The article of claim 22, wherein the plurality of sources comprises sources selected from the group consisting of suppliers, manufacturers, retailers, customers, field sources, vehicle telematics and collection centers.

25. The article of claim 22, wherein the generating final output comprises generating final output from the group consisting of:

generating a parts failure and diagnostics support knowledge base;

generating an extended warranty product design;

generating a reinsurance cover decision;

generating predictive analysis leading to future claim rates, cost estimations and warranty budgeting;

generating design improvements;

generating early warnings and managing recalls;

providing spare parts management support;

monitoring warranty performance; and

determining supplier recovery information.