Business Analytics: Data Analysis & Decision Making
By S. Christian Albright, Wayne L. Winston
About your course materials
Students will master data analysis, modeling, and spreadsheet use with BUSINESS ANALYTICS: DATA ANALYSIS AND DECISION MAKING, 6E! Popular with students, instructors, and practitioners, this quantitative methods text delivers the tools to succeed with its proven teach-by-example approach, student-friendly writing style, and complete Excel 2016 integration. It is also compatible with Excel 2013, 2010, and 2007. Completely rewritten, Chapter 17, Data Mining, and Chapter 18, Importing Data into Excel, offer increased emphasis on tools commonly included under the Business Analytics umbrella -- such as Microsoft Excel’s “Power BI” suite. Up-to-date problem sets and cases provide realistic examples to show the relevance of the material. In addition, the Companion Website includes data and solutions files, PowerPoint slides, SolverTable, and the Palisade DecisionTools Suite (@RISK, BigPicture, StatTools, PrecisionTree, TopRank, RISKOptimizer, NeuralTools, and Evolver).
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About this product
Students will master data analysis, modeling, and spreadsheet use with BUSINESS ANALYTICS: DATA ANALYSIS AND DECISION MAKING, 6E! Popular with students, instructors, and practitioners, this quantitative methods text delivers the tools to succeed with its proven teach-by-example approach, student-friendly writing style, and complete Excel 2016 integration. It is also compatible with Excel 2013, 2010, and 2007. Completely rewritten, Chapter 17, Data Mining, and Chapter 18, Importing Data into Excel, offer increased emphasis on tools commonly included under the Business Analytics umbrella -- such as Microsoft Excel’s “Power BI” suite. Up-to-date problem sets and cases provide realistic examples to show the relevance of the material. In addition, the Companion Website includes data and solutions files, PowerPoint slides, SolverTable, and the Palisade DecisionTools Suite (@RISK, BigPicture, StatTools, PrecisionTree, TopRank, RISKOptimizer, NeuralTools, and Evolver).
Practical Technical Tips: Integrated throughout the chapters, insightful tips help students apply chapter concepts to real-world practice. These guidelines range from general technical information to application-specific tips regarding Excel®, pivot tables, StatTools, Solver, and @RISK.
Plenty of Conceptual Questions, Problems and Cases: BUSINESS ANALYTICS: DATA ANALYSIS & DECISION MAKING, 6E includes approximately 200 conceptual questions, 1,000 problems, and 40 cases for testing students’ mastery of the material as they progress through the course. Complete Excel®-based solutions are available for all of these conceptual questions, problems, and cases.
Engaging Opening Vignettes: Each chapter opens with a vignette that sets the stage for learning by illustrating why the chapter’s concepts are important in a business context.
Highlighting Key Concepts: Critical concepts and equations are set off in boxes to make future reference easier, while margin notes and “Fundamental Insight” features emphasize the most relevant, practical information from each chapter.
Table of contents
Chapters
Chapter 1. Introduction to Business AnalyticsPreview this chapter
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