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Business Intelligence, Analytics, and Data Science: A Managerial Perspective, 4th edition

Published by Pearson (July 14, 2021) © 2022

  • Ramesh Sharda Oklahoma State University
  • Dursun Delen Oklahoma State University
  • Efraim Turban Oklahoma State University , University of Hawaii
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Business Intelligence, Analytics, and Data provides a solid foundation in business intelligence (BI), reinforced with hands-on practice to help you use and understand analytics for success as a future manager. Real-world cases throughout illustrate the capabilities, costs and justifications of BI as applied to a variety of businesses.

The 4th Edition has been reorganized around 3 types of analytics: descriptive, predictive, and prescriptive (a classification promoted by INFORMS), and includes new exercises, Internet assignments, and discussion questions. Additional resources are also provided by the text's companion website (dssbibook.com), which is up-to-date with links to related news stories, software, tutorials, and videos. Included are links to free software support, data mining, related exercises, and more via Teradata University Network (TUN).

  1. An Overview of Business Intelligence, Analytics, and Data Science
  2. Descriptive Analytics I: Nature of Data, Statistical Modeling, and Visualization
  3. Descriptive Analytics II: Business Intelligence and Data Warehousing
  4. Predictive Analytics I: Data Mining Process, Methods, and Algorithms
  5. Predictive Analytics II: Text, Web, and Social Media Analytics
  6. Prescriptive Analytics: Optimization and Simulation
  7. Big Data Concepts and Tools
  8. Future Trends, Privacy and Managerial Considerations in Analytics

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