Business Intelligence, Analytics, Data Science, and AI, Global Edition, 5th edition

Published by Pearson (29 July 2024) © 2024

  • Ramesh Sharda Oklahoma State University
  • Dursun Delen Oklahoma State University
  • Efraim Turban Oklahoma State University , University of Hawaii

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  • A print edition

Title overview

Business Intelligence, Analytics, Data Science, and AI is your guide to the business-related impact of artificial intelligence, data science and analytics, designed to prepare you for a managerial role. The text's vignettes and cases feature modern companies and non-profit organizations and illustrate capabilities, costs and justifications of BI across various business units. With coverage of many data science/AI applications, you'll explore tools, then learn from various organizations' experiences employing such applications. Ample hands-on practice is provided, can be completed with a range of software, and will help you use analytics as a future manager.

The 5th Edition integrates the fully updated content of Analytics, Data Science, and Artificial Intelligence, 11/e and Business Intelligence, Analytics, and Data Science, 4/e into one textbook, strengthened by 4 new chapters that will equip you for today's analytics and AI tech, such as ChatGPT. Examples explore analytics in sports, gaming, agriculture and “data for good.”

Table of contents

  • 1. An Overview of Business Intelligence, Analytics, Data Science, and AI
  • 2. Artificial Intelligence: Concepts, Drivers, Major Technologies, and Business Applications
  • 3. Descriptive Analytics I: Nature of Data, Big Data, and Statistical Modeling
  • 4. Descriptive Analytics II: Business Intelligence Data Warehousing, and Visualization
  • 5. Predictive Analytics I: Data Mining Process, Methods, and Algorithms
  • 6. Predictive Analytics II: Text, Web, and Social Media Analytics
  • 7. Deep Learning and Cognitive Computing
  • 8. Prescriptive Analytics: Optimization and Simulation
  • 9. Landscape of Business Analytics Tools
  • 10. AI-Based Trends in Analytics and Data Science
  • 11. Ethical, Privacy, and Managerial Considerations in Analytics

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