Introduction: Analytics 1. An Introduction to Management Analytics 2. Models and Model Building 3. Analyzing Sequential Decisions 4. Data Driven Decision Making 5. Predictive Modelling 6. Simulating the Future 7. Simultaneous Decision Problems 8. Revenue Management 9. Creating Competitive Advantage Using Analytics
Biography
Peter C. Bell
Professor
Peter C. Bell earned BA and MA degrees from Oxford University and MBA and PhD degrees from the Graduate School of Business, the University of Chicago, and is a Professor of Management Science at Ivey.
Gregory S. Zaric
Associate Professor
Gregory Zaric earned a BSc degree from the University of Western Ontario, an MASc from the University of Waterloo, and MS and PhD degrees from Stanford University. He is an Associate Professor of Management Science at Ivey and holds a Canada Research Chair in Health Care Management Science.
'Finding a book that can serve as both a functional textbook and a guide for the business practitioner is challenging. In the introduction to Analytics for Managers With Excel, the authors state that their objective is to provide material for the manager of the future. They have succeeded in this goal by writing a good textbook for teaching how Excel can aid in pulling together and using analytic data.'
-Graham K. Rand, Department of Management Science, Management School, Lancaster University
