BSc IT Sem VI March 2025 March 2025 Business Intelligence and Data Analysis Question Paper - Mumbai University | munotes

Questions asked in this paper

1. Q1 Attempt any three of the following: 35 marks
   • a. Explain the three main components of Business Intelligence?
   • b. What is the role of mathematical models in Business Intelligence?
   • c. How does data become information and then knowledge?
   • d. Draw and explain Business Intelligence architecture
   • e. What are the main components of a DSS?
   • f. What are the steps in the decision-making process?
2. Q2 Attempt any three of the following: 15 marks
   • a. What are the key steps in developing a mathematical model?
   • b. What is the main purpose of data mining?
   • c. Which is common method used for data analysis in data mining
   • d. Why is data transformation important?
   • e. What is data reduction?
   • f. How does data preparation improve the accuracy of data analysis?
3. Q3 Attempt any three of the following: 15 marks
   • a. What is the purpose of Bayesian methods in classification?
   • b. What is the role of support vector machines (SVM) in classification?
   • c. Describe in brief logistic regression
   • d. How is clustering different from classification?
   • e. Why is evaluating clustering models important?
   • f. Describe one real-life application of clustering Paper Subject Code: 88710 Business Intellitgence and Data Analysis (Rev.)
4. Q4 Attempt any three of the following: a How is information classified in MIS? b What are the characteristics of high-quality information? c Explain the relational marketing d What is a revenue management system? e What is the purpose of the CCR model in DEA? f Why is efficiency analysis important in business operations? 15 marks
5. Q5 Attempt any three of the following: 15 marks
   • a. Compare different types of knowledge management metrics used in businesses
   • b. What factors influence the development of an organization’s culture?
   • c. How can a company use the maturity model to improve its operations?
   • d. How is Al different from Natural Intelli gence?
   • e. Explain structure of the expert system
   • f. How effective is machine learning in predictive analysis?

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