B.Sc. (Information Technology) Sem VI October 2025 Business Intelligence and Data Analysis Question Paper - Mumbai University | munotes

Questions asked in this paper

SECTION I - 1. (Attempt any three of the following) 15 Marks

1. a. Explain the term Business Intelligence and list its advantages.
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2. b. Differentiate between data, information, and knowledge.
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3. c. Draw and explain the phases of Business Intelligence.
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4. d. Explain the key stages of the decision-making process in detail.
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5. e. Discuss the historical development of Information Systems in brief.
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6. f. Describe the different phases involved in a Decision Support System.
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SECTION II - 2. (Attempt any three of the following) 15 Marks

1. a. What are the key steps in developing a mathematical model?
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2. b. Discuss Corporate Analysis and Risk Management in brief.
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3. c. Explain the architecture of data mining with the help of a diagram.
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4. d. How does data preparation improve the accuracy of data analysis?
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5. e. Describe the process of Data Transformation with an appropriate diagram.
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6. f. Write a concise explanation of Data Validation and its importance.
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SECTION III - 3. (Attempt any three of the following) 15 Marks

1. a. Describe the essential components involved in a classification problem.
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2. b. Explain the criteria used to evaluate a classification method.
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3. c. How is clustering different from classification?
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4. d. Explain logistic regression briefly.
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5. e. What is the K-medoids clustering algorithm?
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6. f. Describe one real-life application of clustering.
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SECTION IV - 4. (Attempt any three of the following) 15 Marks

1. a. Define and describe a Management Information System.
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2. b. Define relational marketing and discuss the factors related to it.
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3. c. Explain how decisions are made in sales force management.
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4. d. Describe supply chain optimization.
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5. e. What is revenue management system?
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6. f. Why is efficiency analysis important in business operations?
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SECTION V - 5. (Attempt any three of the following) 15 Marks

1. a. Describe the metrics used in Knowledge Management.
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2. b. Differentiate between human intelligence and artificial intelligence.
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3. c. Discuss the detailed applications of expert systems across different domains.
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4. d. Explain the different stages of machine learning.
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5. e. Write a concise note on TensorFlow and its key features.
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6. f. How effective is machine learning in predictive analysis?
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