Business Analytics, 2nd Edition
©2016 |Pearson | Available
For undergraduate or graduate business students.
A balanced and holistic approach to business analytics
Business Analytics, Second Edition teaches the fundamental concepts of the emerging field of business analytics and provides vital tools in understanding how data analysis works in today’s organizations. Students will learn to apply basic business analytics principles, communicate with analytics professionals, and effectively use and interpret analytic models to make better business decisions. Included access to commercial grade analytics software gives students real-world experience and career-focused value. Author James Evans takes a balanced, holistic approach and looks at business analytics from descriptive, and predictive perspectives.
Content is organized into five parts to guide students through the information:
In-text features aid in student understanding:
Complete Software Support: While many different types of software packages are used in Business analytics applications in industry, this book uses Microsoft Excel 2013and Frontline Systems’ powerful Excel add-ins, Risk Solver Platform and XLMiner, which together provide extensive capabilities for business analytics. Frontline is used at over 7,500 companies.
New and Updated for this Edition
Content Updates
New and Updated for this Edition
Content Updates
Brief Contents
Preface
About the Author
PART 1: Foundations of Business Analytics
1. Introduction to Business Analytics
2. Analytics on Spreadsheets
Part 2: Descriptive Analytics
3. Visualizing and Exploring Data
4. Descriptive Statistical Measures
5. Probability Distributions and Data Modeling
6. Sampling and Estimation
7. Statistical Inference
Part 3: Predictive Analytics
8. Trendlines and Regression Analysis
9. Forecasting Techniques
10. Introduction to Data Mining
11. Spreadsheet Modeling and Analysis
12. Monte Carlo Simulation and Risk Analysis
Part 4: Prescriptive Analytics
13. Linear Optimization
14. Applications of Linear Optimization
15. Integer Optimization
16. Decision Analysis
Supplementary Chapter A (online): Nonlinear and Non-Smooth Optimization
Supplementary Chapter B (online): Optimization Models with Uncertainty
Appendix A
Glossary
IndexImportant: To use the test banks below, you must download the TestGen software from the TestGen website. If you need help getting started, read the tutorials on the TestGen site.
Format | Electronic Book | |
ISBN-13: | 9780134192932 | |
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Format | Website | |
ISBN-13: | 9780321997906 | |
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Minitab Express for PC Study Card
Pearson Education
©2017
Format | Study Card | |
ISBN-13: | 9780134576855 | |
Suggested retail price | $6.65 | |
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Excel 2016 Study Card for Business Statistics
Pearson Education
©2017
Format | Study Card | |
ISBN-13: | 9780134576794 | |
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Excel 2013 with Data Analysis Toolpak Videos for Business Statistics, Business Statistics, 3rd Edition
Sharpe, De Veaux & Velleman
©2015
Evans
©2016  | Pearson  | 664 pp
Format | Adobe Reader | |
ISBN-13: | 9780321997913 | |
Online purchase price | $44.99 | Students, buy or rent this eText |
Availability |
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Evans
©2016  | Pearson  | 664 pp
Availability |
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Online purchase price | $239.99 |
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This package contains:
Evans
©2016
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.
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