To help future managers use and understand analytics, Business Intelligence provides students with a solid foundation of BI that is reinforced with hands-on practice.This text takes a managerial approach to Business Intelligence (BI), emphasizing the applications and implementations behind the concepts. This approach allows students to understand how BI works in a way that will help them adopt these technologies in future managerial roles.
Features
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.
About the Author
Ramesh Sharda, Oklahoma State University
Dursun Delen, Oklahoma State University
Efraim Turban, University of Hawaii
David King, Comshare, Inc.
Table of Contents:
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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