Business Intelligence, Analytics, and Data Science: A Managerial Perspective, 4/e
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.
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Table of Content
"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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Salient 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.
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