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(a) What are decision support systems, and what role do they play in the business environment?
(b) Data warehousing is defined as "a subject-oriented, integrated, non-volatile collection of data" in support of management?s decision making process.
(i) Define the term subject-oriented and support your answer with appropriate examples.
(ii) Describe the three important differences that exist between an application oriented system and a subject oriented system.
(c) Data mining is a knowledge discovery process of automated extraction of hidden predictive information from large databases.
(i) Data mining being relatively a new technology, what advantages would an Insurance company achieved for implementing such atechnique? Provide relevant examples
(ii) To better exploit data mining what are the pre-requisites for a data warehouse?
(iii) Discuss the two critical factors which can affect success with the application of data mining technology.
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What are 3 good practices of modeling and/or implementing data warehouses?
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