Business Analytics 5E is designed to introduce the concept of business analytics to under-graduate and graduate students. This edition builds upon what was one of the first collec-tions of materials that are essential to the growing field of business analytics. In Chapter 1, wepresent an overview of business analytics and our approach to the material in this textbook.In simple terms, business analytics helps business professionals make better decisions basedon data. We discuss exploring, wrangling, summarizing, visualizing, and understanding datain Chapters 2 through 5. In Chapter 6, we introduce additional models to describe data andthe relationships among variables. Chapters 7 through 11 introduce methods for both gain-ing insights from historical data and predicting possible future outcomes.  Chapter 12 coversthe use of spreadsheets for examining data and building decision models. In Chapter 13, wedemonstrate how to explicitly introduce uncertainty into spreadsheet models through the useof Monte Carlo simulation. In Chapters 14 through 16, we discuss optimization models tohelp decision makers choose the best decision based on the available data. Chapter 17 is anoverview of decision analysis approaches for incorporating a decision maker’s views aboutrisk into decision making. In Appendix A we present optional material for students who needto learn the basics of using Microsoft Excel. The use of databases and manipulating data inMicrosoft Access is discussed in Appendix B. Appendixes in many chapters illustrate theuse of additional software tools such as Tableau, R, and Orange to apply analytics methods.