B.TechSemester 52023-24Business Intelligence And AnalyticsKDS051
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Business Intelligence And Analytics (KDS051) - AKTU Question Paper 2023-24

B.Tech · Semester 5 · Free PDF Download

This is the official AKTU Business Intelligence And Analytics Previous Year Question Paper for B.Tech Semester 5, academic session 2023-24. Published by Dr. A.P.J. Abdul Kalam Technical University (AKTU/UPTU), Lucknow. Free PDF download — no login required.

Course:B.Tech
Semester:Semester 5
Session:2023-24
University:AKTU / UPTU

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Questions Asked in 2023-24

Business Intelligence And Analytics (KDS051) — complete question paper · 100 marks · 3 Hours

Section AAttempt all q u e s t i o n s i n b r i e f . 2 x 10 = 20
  • a
    What is the historical context of Business Intelligence, and h o w h a s i t evolved over time?
  • b
    Explain the significance of effe ctive and timely decision-maki ng in the context of Business Intelligence
  • c
    Define Data Mining and highli ght its significance in business intelligence
  • d
    Explain the architectur e of Data Mining. 2 2
  • e
    What is the purpose of Data Validation in the context of Busin ess Intelligence?
  • f
    Explain the concept of Dat a Transformation. 2 3
  • g
    What is the analytics process? 2 4
  • h
    Differentiate between Descriptiv e, and Prescriptive Analytics. 2 4 i. Define Business Activity Monitoring (BAM). 2 5 j. What is Complex Event Processing (CEP)? 2 5
Section BAttempt any three o f t h e f o l l o w i n g : 10 x 3 = 30
  • a
    Explore the significance of m athematical models in Business Intelligence. Discuss the types of models commonly used, their applications, and the impact they have on improving decision ac curacy and foresi ght
  • b
    Provide a detailed analysis of Online Analytical Processing (OLAP), including its tools and applications. Discuss how OLAP supports decision-making processes in organizations, and provide example s of its usage
  • c
    Provide a comprehensive overv iew of Principal Component Anal ysis (PCA), discussing its principles, applications, and the benefits it offers in reducing the dimensionality of data for analysis in Business Intelligence
  • d
    Discuss the Iris dataset, its significance, and its applicat ions in data analytics. Explore how it is comm only used in machine learning and statistical analysis
  • e
    Discuss the role of Business Process Management (BPM) in the implementation of Business Intelligence. Explore how BPM aligns with BI strategies and contributes to organizational optimization
Section CAttempt any one p a r t o f t h e f o l l o w i n g : 10 x 1 = 10
  • a
    Investigate the challenges and advantages associated with Re al-Time Business Intelligence systems. How do these systems enhance operational efficiency and respons iveness in dynamic business environments?
  • b
    Discuss the historical evoluti on of Business Intelligence, h ighlighting key milestones and technological advancements that have shaped its development over time
  • a
    Explore the principles of da ta modeling in the context of Da ta Warehousing. Discuss the importan ce of data modeling in designi ng an effective data warehouse and how it aids in information retrieval
  • b
    Discuss the Star and Snowflak e Schema models in the context of Data Warehousing
  • a
    Explore the fundamental princ iples of Data Validation and it s importance in ensuring the accu racy and reliability of data in Business Intelligence
  • b
    Examine the concept of Data Reduction and its three main tec hniques: Sampling, Selection, and Princip al Component Analysis (PCA). Di scuss how each technique contributes to streamlining large datasets f or efficient analysis
  • a
    Explore the various analytical techniques used in Descriptiv e Analytics, including statistical methods and visualization tools
  • b
    Provide an in-depth analysis of Predictive Analytics, discus sing its methodologies, algorithms, and applications in forecasting futu re trends and making proactive business decisions
  • a
    Explore the principles and methodologies of Root Cause Analy sis in the context of Business Intelligence
  • b
    Discuss the challenges and be nefits associated with real-time monitoring in Business Activity Monitoring. Explore different scenarios wh ere real- time monitoring is crucial for effective decision-making

Question text is extracted from the official AKTU question paper PDF above. Hindi translations are omitted — every question is printed in English in the original paper. Last verified: 2026-08-23.

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