BSc IT Sem VI October 2025 October 2025 Business Intelligence and Data Analysis Question Paper - Mumbai University | munotes
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Questions asked in this paper
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Q1 Attempt any three of the following: 15 marks
- a. Explain the term Business Intelligence and list its advantages
- b. between data, information, and knowledge
- c. Draw and explain the phases of Business Intelligence
- d. Explain the key stages of the decision-making process in detail > e. the historical development of Information Systems in brief
- f. Describe the different phases involved in a Decision Support System
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Q2 Attempt any three of the following: 15 marks
- a. What are the key steps in developing a mathematical model?
- b. Discuss Corporate Analysis and Risk Management in brief Explain the architecture of data mining with the help of a diagram
- d. How does data preparation improve the accuracy of data analysis?
- e. Describe the process of Data Transformation with an appropriate diagram
- f. Write a concise explanation of Data Validation and its importance
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Q3 Attempt any three of the following: 15 marks
- a. Describe the essential components involved in a classification problem
- b. Explain the criteria used to evaluate a classification method
- c. How is clustering different from classification?
- d. Explain logistic regression briefly
- e. is the K-medoids clustering algorithm?
- f. one real-life application of clustering
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Q4 Attempt any three of the following: 15 marks
- a. Define and describe a Management Information System
- b. relational marketing and discuss the factors related to it
- c. Explain how decisions are made in sales force management
- d. Describe supply chain optimization
- e. What is revenue management system?
- f. Why is efficiency analysis important in business operations? Paper Subject Code: 88710 Business Intellitgence and Data Analysis (Rey.)
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Q5 Attempt any three of the following: 15 marks
- a. Describe the metrics used in Knowledge Management
- b. Differentiate between human intelligence and artificial intelligence
- c. the detailed applications of expert systems across different domains
- d. Explain the different stages of machine learning
- e. a concise note on TensorFlow and its key features
- f. is machine learning in predictive analysis?
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BSc IT / Sem VI · 83 papers
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May 2018-19 - DATAWAREHOUSING
May 2018-19 - ELECTIVE GIS
May 2018-19 - INTERNET TECHNOLOGIES
May 2018-19 - IPR AND CYBER LAWS
May 2018-19 - PROJECT MANAGEMENT
May 2018-19 - BUSINESS INTELLIGENCE
May 2018-19 - PRINCIPLES OF GEOGRAPHIC INFORMATION SYSTEMS
May 2018-19 - QUALITY ASSURANCE
May 2018-19 - SECURITY IN COMPUTING
May 2018-19 - DATAWAREHOUSING
2016-17 - GIS SemVI
2016-17 - Internet Technology
2016-17 - Project Management
2016-17 - Data Communication Networking Security
2016-17 - Data Warehaesing
2016-17 - Datawarhousing
2016-17 - Geographic Info. Sys
2016-17 - IPR CYBER LAWS
2016-17 - IPR
2016-17 - Linux
2016-17 - Project Management
2016-17 - Project Managemt
Dec 2019 - ATKT DATAWAREHOUSING
2016 - ATKT Data Warehousing
2016 - ATKT Digital Signal System
2016 - ATKT Elective GIS
2016 - ATKT Elective IPR Cyber Law
2016 - ATKT Project Management
DIGITAL SIGNALS AND SYSTEMS
INTERNET TECHNOLOGIES
BUSINESS INTELLIGENCE
CYBER LAWS
ELECTIVE GEOGRAPHICAL INFORMATION SYSTEM
ELECTIVE IPR AND CYBER LAWS
INTERNET TECHNOLOGIES
PRINCIPLES OF GEOGRAPHICAL INFORMATION SYSTEMS
PROJECT MANAGEMENT
QUALITY ASSURANCE
SECURITY IN COMPUTING
TYIT SEM VI DEC. 18 C 18.DEC.18 (PC. 35224) 17
C OLD 17
INTERNET TECHNOLOGIES OLD
IPR AND CYBER LAWS
INTERNET TECHNOLOGIES
DATAWAREHOUSING
ELECTIVE PROJECT MANAGEMENT
DATAWAREHOUSING
ELECTIVE III PROJECT MANAGEMENT OLD
PROJECT MANAGEMENT
Questions? Email contact@munotes.in
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