Attempt all the problems.
Section-A
problem1) Describe the best way to measure a data mining tool.
problem2) Describe the several selection criteria that affect the tool’s ability to transform, consolidate, integrate, and repair the data should be considered, when implementing a data warehousing.
problem3) What are the tangible and intangible benefits of data warehousing ?
problem4) Why we use data mining? What kind of information could be obtained from data mining?
Section-B
Case Study
A health benefits company operating in the United States serves more than 11.9 million customers. Its product portfolio includes diversified mix of managed care products, including Preferred Provider Organizations (PPOs), Health Maintenance Organizations (HMOs) and Point-Of-Service (POS) plans. The company also offers several specialty products, including group life and disability insurance benefits, pharmacy benefit management and dental, vision and behavioral health benefits services.
The company had significantly large database, that was consolidated from different systems using ETL (Extract, Transform, Load) tool. This tool will mine data from a database and then transform and store the mined data in a data warehouse. The company wanted to outsource the reengineering of the data warehouse and partnered with Infosys to build a modular, scalable architecture so that the processing batch time could be reduced considerably.
After the success of this engagement, Infosys handled maintenance of the data warehouse, hence freeing client's internal resources to tackle other pressing tasks and lending flexibility in operations.
problem5) Case problem:
(i) What are the challenges & requirements in front of Infosys in reshaping the data warehouse to improve efficiency?
(ii) What would be the benefits of ETL if Infosys develop new one?