BSc IT Sem VI ATKT BUSINESS INTELLIGENCE Question Paper - Mumbai University | munotes

Questions asked in this paper

1. Q1 Attempt any three of the following: 15 marks
   • a. Describe the architecture of business intelligence
   • b. Explain Data Information and Knowledge Define system. Explain how system can be characterized
   • d. What is business intelligence? Why effective and timely decision is important?
   • e. Explain the phases of decision making process system
   • f. Explain the major potential advantage derived from adoption of a DSS
2. Q2 Attempt any three of the following: 15 marks
   • a. Explain the primary phases of model
   • b. What is predictive and optimization model? Explain some of the areas where data mining 1s used
   • d. Write short notes on analysis methodology of data mining
   • e. What is meant by data validation? Explain different kinds of data validation
   • f. Write short note on data transformation
3. Q3 Attempt any three of the following: 15 marks
   • a. Explain Phases and Taxonomy of classification model
   • b. Write short notes on evaluation of classification model
   • c. Assume your own training dataset and predict the class label of an unknown sampling
   • d. Differentiate between following clustering methodologies: 1) Partitioning method
   • e. Explain evaluation of clustering model
   • f. Explain k-means method
4. Q4 Attempt any three of the following: a What is marketing decision process? Explain relational marketing in details b Write short note on sales force management Explain market basket analysis d List revenue management system. Explain any one in detail e What is supply chain optimization? f Explain CCR model in detail 15 marks
5. Q5 Attempt any three of the following: 15 marks
   • a. What is meant by knowledge management system?
   • b. Explain knowledge management activities Explain the role of people in knowledge management
   • d. Compare and contrast between Artificial intelligence versus Natural intelligence Write short note on knowledge engineering
   • f. What are the applications of expert systems?

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