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Examen

Test Bank – Business Intelligence, Analytics & Data Science: A Managerial Perspective (4th Edition, Sharda, Delen & Turban) | Verified Exam Guide with ISBN 9780137305711

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Test Bank Comprehensive Test Bank – Business Intelligence, Analytics & Data Science: A Managerial Perspective (4th Edition, Sharda, Delen & Turban) | Verified Exam Guide with ISBN 9780137305711”

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Test Bank
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

Información del documento

Subido en
17 de septiembre de 2025
Número de páginas
187
Escrito en
2025/2026
Tipo
Examen
Contiene
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