AKTU Business Intelligence and Analytics (BCDS051) Question Paper 2024-25

Note: Attempt all Sections. In case of any missing data; choose suitably.

Section A

Q1. Attempt all questions in brief · 2 × 7 = 14 marks

1. Define Business Intelligence (BI)?
2. Name one common tool used for Business Intelligence.
3. Define data mining? Give example
4. With example define “validation” in Business Intelligence
5. Differentiate between data validation and data cleaning?
6. Why is the analytics process important in BI?
7. Define Business Activity Monitoring (BAM)?

Section B

Q2. Attempt any three of the following · 7 × 3 = 21 marks

1. Discuss the history and evolution of Business Intelligence. Describe its origins, key milestones in its development?
2. Explain the architecture of a data mining system. Describe the different stages involved in the data mining process?
3. Describe the process of data transformation and its significance in preparing data for Business Intelligence and analytics?
4. Explain descriptive analytics in the context of Business Intelligence. Discuss how descriptive analytics uses historical data to summarize?
5. Describe Complex Event Processing (CEP) and its role in Business Intelligence?

Section C

Q3

Attempt any one part of the following · 7 × 1 = 7 marks

1. Explain the importance of effective and timely decision-making in Business Intelligence. How does BI enable organizations to make informed decisions in real-time?
2. Describe the architectural representation of Business Intelligence?

Q4

Attempt any one part of the following · 7 × 1 = 7 marks

1. Discuss the functionalities and classifications of data mining. What are the key techniques used in data mining?
2. Define data warehousing and explain its importance in the context of Business Intelligence. Discuss the architecture of a data warehouse?

Q5

Attempt any one part of the following · 7 × 1 = 7 marks

1. Explain techniques sampling, data selection, and Principal Component Analysis (PCA). How do these methods help in reducing computational complexity while preserving the essential features of the data?
2. Describe data discretization and its role in the data preparation process.

Q6

Attempt any one part of the following · 7 × 1 = 7 marks

1. Discuss common techniques used in predictive analytics?
2. Explain the importance of social media analytics in Business Intelligence?

Q7

Attempt any one part of the following · 7 × 1 = 7 marks

1. Explain Business Activity Monitoring (BAM) and its role in Business Intelligence?
2. Define Root Cause Analysis (RCA) and explain its significance in Business Intelligence.?

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