Business Analytics / Edition 2

by James Evans

Overview

NOTE: This loose-leaf, three-hole punched version of the textbook gives you the flexibility to take only what you need to class and add your own notes — all at an affordable price. For loose-leaf editions that include MyLab™ or Mastering™, several versions may exist for each title and registrations are not transferable. You may need a Course ID, provided by your instructor, to register for and use MyLab or Mastering products.

For undergraduate or graduate business students.

A balanced and holistic approach to business analytics

Business Analytics teaches the fundamental concepts of modern business analytics and provides vital tools in understanding how data analysis works in today’s organizations. Author James Evans takes a fair and comprehensive, approach, examining business analytics from both descriptive and predictive perspectives. Students learn how to apply basic principles, communicate with analytics professionals, and effectively use and interpret analytic models to make better business decisions. And included access to commercial grade analytics software gives students real-world experience and career-focused value. As such, the 3rd Edition has gone through an extensive revision and now relies solely on Excel, enhancing students’ skills in the program and basic understanding of fundamental concepts. Additionally, Analytic Solver can now be found in online supplements to accommodate any new software updates, so students are prepared to use these same tools when they graduate.

Also available with MyLab Business Statistics

By combining trusted author content with digital tools and a flexible platform, MyLab personalizes the learning experience and improves results for each student. For example, new Excel and StatCrunch Projects help students develop business decision-making skills.

NOTE: You are purchasing a standalone product; MyLab™ Business Statistics does not come packaged with this content. Students, if interested in purchasing this title with MyLab Business Statistics, ask your instructor to confirm the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information.

If you would like to purchase both the loose-leaf version of the text and MyLab Business Statistics, search for:

Business Analytics, Loose-Leaf Edition Plus MyLab Statistics with Pearson eText — Access Card Package, 3/e

Package consists of:

• 0135231698 / 9780135231692 Business Analytics, Loose-Leaf Edition, 3/e
• 0135229294 / 9780135229293 MyLab Statistics with Pearson eText — Standalone Access Card — for Business Analytics, 3/e

Product Details

ISBN-13:	2900321997820
Publication date:	12/30/2014
Pages:	664
Product dimensions:	7.80(w) x 9.80(h) x 0.90(d)

About the Author

James R. Evans

Professor, University of Cincinnati College of Business

James R. Evans is professor in the Department of Operations, Business Analytics, and Information Systems in the College of Business at the University of Cincinnati. He holds BSIE and MSIE degrees from Purdue and a PhD in Industrial and Systems Engineering from Georgia Tech.

Dr. Evans has published numerous textbooks in a variety of business disciplines, including statistics, decision models, and analytics, simulation and risk analysis, network optimization, operations management, quality management, and creative thinking. He has published over 90 papers in journals such as Management Science, IIE Transactions, Decision Sciences, Interfaces, the Journal of Operations Management, the Quality Management Journal, and many others, and wrote a series of columns in Interfaces on creativity in management science and operations research during the 1990s. He has also served on numerous journal editorial boards and is a past-president and Fellow of the Decision Sciences Institute. In 1996, he was an INFORMS Edelman Award Finalist as part of a project in supply chain optimization with Procter & Gamble that was credited with helping P&G save over $250,000,000 annually in their North American supply chain, and consulted on risk analysis modeling for Cincinnati 2012’s Olympic Games bid proposal.

A recognized international expert on quality management, he served on the Board of Examiners and the Panel of Judges for the Malcolm Baldrige National Quality Award. Much of his current research focuses on organizational performance excellence and measurement practices.

Table of Contents

1. Introduction to Business Analytics
   • Appendix A1: Basic Excel Concepts
2. Database Analytics
3. Data Visualization
   • Appendix A3: Additional Windows Tools for Data Visualization and Tableau Software
4. Descriptive Statistics
   • Appendix A4: Additional Excel Windows Charts for Descriptive Statistics
5. Probability Distributions and Data Modeling
6. Sampling and Estimation
7. Statistical Inference
8. Trendlines and Regression Analysis
9. Forecasting Techniques
   • Online Supplement: Advanced Forecasting Techniques Using XLMiner
10. Introduction to Data Mining
11. Spreadsheet Modeling and Analysis
12. Monte Carlo Simulation and Risk Analysis
13. Linear Optimization
14. Integer and Nonlinear Optimization
15. Optimization Analytics
16. Decision Analysis