Test Bank For Business Intelligence, Analytics, Data Science, and AI, 5th Edition by Ramesh Sharda, Dursun Delen, Efraim Turban All Chapters 1-11 included.Latest Version

Test Bank For Business Intelligence, Analytics, Data Science, and AI, 5th Edition by Ramesh Sharda, Dursun Delen, Efraim Turban Chapter 1-11 All Included Latest Update Contents Chapter 1 An Overview of Business Intelligence, Analytics, and Data Science 2 Chapter 2 Artificial Intelligence: Concepts, Drivers, Major Technologies, and Business Applications 30 Chapter 3 Descriptive Analytics I: Nature of Data, Big Data, and Statistical Modeling 59 Chapter 4 Descriptive Analytics II: Business Intelligence Data Warehousing, and Visualization 91 Chapter 5 Predictive Analytics I: Data Mining Process, Methods, and Algorithms 123 Chapter 6 Predictive Analytics II: Text, Web, and Social Media Analytics 155 Chapter 7 Deep Learning and Cognitive Computing 185 Chapter 8 Prescriptive Analytics: Optimization and Simulation 215 Chapter 9 The Landscape of Software Tools and Languages 247 Chapter 10 New AI-Based Trends in Analytics and Data Science 278 Chapter 11 Ethical, Privacy and Managerial Considerations in Analytics 310 Chapter 1 An Overview of Business Intelligence, Analytics, and Data Science 1) Computerized support is used for organizational and managerial decisions that are responses to external pressures and to take advantage of market opportunities. Answer: TRUE Diff: 1 Page Ref: 32 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: 56 3) Computer applications have moved from transaction processing and monitoring activities to problem analysis and decision support applications. Answer: TRUE Diff: 1 Page Ref: 48 4) Business intelligence is a specific term that describes a variety of information technology and data capturing focused system architectures. Answer: FALSE Diff: 2 Page Ref: 46 5) The growth in hardware, software, and network capacities were the core contributors to the proliferation of decision support and analytics systems. Answer: FALSE Diff: 2 Page Ref: 48 6) Managing data warehouses requires special methods, including parallel and cloud computing along with Hadoop/Spark. Answer: TRUE Diff: 2 Page Ref: 49 7) Managing information on operations, customers, internal procedures, and employee interactions is the domain of cognitive science. Answer: FALSE Diff: 3 Page Ref: 49 8) Decision support system (DSS), analytics, and management information system (MIS) have precise definitions agreed to by most practitioners. Answer: FALSE Diff: 2 Page Ref: 55 9) Of all analytics types (i.e., descriptive, predictive, and prescriptive), data mining is most closely related to predictive analytics. Answer: TRUE Diff: 1 Page Ref: 65 10) Major commercial business intelligence (BI) products and services were well established in the early 1970s. Answer: FALSE Diff: 2 Page Ref: 55 11) Information systems that support such transactions as ATM withdrawals, bank deposits, and cash register scans at the grocery store represent online transaction processing systems (OLAP). Answer: FALSE Diff: 3 Page Ref: 61 12) Many business users in the 1980s referred to their mainframes as