"Ramesh Sharda, Oklahoma State University

Dursun Delen, Oklahoma State University

Efraim Turban, University of Hawaii

David King, Comshare, Inc.

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"Chapter 1 An Overview of Business Intelligence, Analytics, and Data Science

Chapter 2 Descriptive Analytics I: Nature of Data, Statistical Modeling, and Visualization

Chapter 3 Descriptive Analytics II: Business Intelligence and Data Warehousing

Chapter 4 Predictive Analytics I: Data Mining Process, Methods, and Algorithms

Chapter 5 Predictive Analytics II: Text, Web, and Social Media

Chapter 6 Prescriptive Analytics: Optimization and Simulation

Chapter 7 Big Data Concepts and Tools

Chapter 8 Future Trends, Privacy and Managerial Considerations in Analytics

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"Opening Vignette: Real world case that presents a challenge, solution, and results that introduce the chapter. Each opening vignette is paired with questions for students to dig into the details and think critically about the case.

Application Cases: Real world cases that emphasize concepts in the chapter, paired with discussion questions.

Section Review Questions: Checkpoints for students on key concepts they should have learned in the section.

Technology Insights: Boxed features focusing on the benefits of available technology.

End of Chapter: Includes a list of Chapter Highlights, Key Terms, Discussion Questions, Exercises, and an additional Application Case to help students review, test, and apply their understanding.

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