Comprehensive Test
Bank – Business Intelligence, Analytics &
Data Science: A Managerial Perspective (4th
Edition, Sharda, Delen & Turban) | Verified Exam
Guide with ISBN 9780137305711”
, Content of the Test Bank
Part I: Introduction to Analytics and Data Science
Chapter 1 – An Overview of Business Intelligence, Analytics, and Data Science
Evolution of analytics and BI
Data-driven decision-making
Case studies in business analytics
Chapter 2 – Artificial Intelligence, Data Science, and Machine Learning in Business
Role of AI in modern enterprises
Introduction to ML techniques
Relationship between AI, BI, and data science
Chapter 3 – Data Warehousing, Data Acquisition, and Data Mining
ETL process (Extract, Transform, Load)
Data warehouse architecture
Data mining tasks and techniques
Part II: Predictive and Descriptive Analytics
Chapter 4 – Predictive Analytics: Regression, Time Series, and Forecasting
Simple and multiple regression
Time series analysis
Forecasting models
Chapter 5 – Machine Learning: Neural Networks, Deep Learning, and Advanced Methods
Neural network fundamentals
Deep learning applications
SVMs and ensemble methods
Chapter 6 – Text and Web Analytics
Natural language processing (NLP) basics
Text mining models
Web and social media analytics
Part III: Prescriptive Analytics
Chapter 7 – Model-Based Decision Making: Optimization and Simulation
Linear and nonlinear optimization
Decision variables and constraints
Simulation models in business
,Chapter 8 – Decision Analysis and Multi-Criteria Decision Making
Structured decision-making processes
Multi-criteria evaluation
Risk and uncertainty in analytics
Part IV: Big Data and Emerging Technologies
Chapter 9 – Big Data and Cloud Analytics
Big data characteristics (volume, velocity, variety, veracity, value)
Cloud computing platforms for analytics
Hadoop, Spark, and distributed processing
Chapter 10 – The Internet of Things (IoT) and Industry 4.0 Analytics
IoT data streams
Smart manufacturing & Industry 4.0
Business applications of IoT analytics
Part V: Applications and Managerial Issues
Chapter 11 – Analytics in Business Functional Areas
Marketing, supply chain, HR, and finance analytics
Healthcare and government use cases
Industry-specific BI applications
Chapter 12 – Implementation Issues and Emerging Trends
Ethical use of analytics and AI
Data governance and privacy
Future trends in BI, data science, and machine learning
✅ Features of This Test Bank
Question Types: Multiple-choice, true/false, short answers, applied case scenarios
Coverage: Full 12 chapters across BI, AI, ML, Big Data, IoT, and prescriptive analytics
Alignment: Focused on managerial decision-making with real-world examples
Business Intelligence 4th edition test bank
Data Science and Analytics exam prep Sharda
Ramesh Sharda business intelligence solutions manual
BI and Data Science verified test questions
ISBN 9780137305711 test bank download
, Chapter 1 An Overview of Business Intelligence, Analytics, and Data Science
1) Computerized support is only used for organizational decisions that are responses to external
pressures, not for taking advantage of opportunities.
Answer: FALSE
Diff: 2 Page Ref: 3
2) During the early days of analytics, data was often obtained from the domain experts using
manual processes to build mathematical or knowledge-based models.
Answer: TRUE
Diff: 2 Page Ref: 13
3) Computer applications have moved from transaction processing and monitoring activities to
problem analysis and solution applications.
Answer: TRUE
Diff: 1 Page Ref: 11
4) Business intelligence (BI) is a specific term that describes architectures and tools only.
Answer: FALSE
Diff: 1 Page Ref: 16
5) The growth in hardware, software, and network capacities has had little impact on modern BI
innovations.
Answer: FALSE
Diff: 1 Page Ref: 11