ISBN 9788131526613,Business Analytics: Data Analysis and Decision Making

Business Analytics: Data Analysis and Decision Making

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ISBN 9788131526613

Cengage Learning India

Publication Year 2015

ISBN 9788131526613

ISBN-10 8131526615

Paper Back

Edition 5th
Number of Pages 1012 Pages
Language (English)

Business & management

Students will master data analysis, modeling and spreadsheet use with Business Analytics - Data Analysis And Decision Making, 5E! This quantitative methods text provides users with the tools to succeed with a teach-by-example approach, student-friendly writing style and complete Excel 2013 integration. It is also compatible with Excel 2010 and 2007. Problem sets and cases provide realistic examples to show the relevance of the material.

Changes in Excel. To allow for compatibility with different versions of Excel, 'Changes in Excel' boxes highlight changes in Excel made in version 2010 or 2013.
Plenty of problems and cases. This edition includes approximately 1,000 problems, plus about 40 cases, for testing students mastery of the material.
Engaging opening vignettes. Each chapter opens with a vignette that sets the stage for the chapter content by focusing on 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 and margin notes and 'Fundamental Insight' features emphasize the most relevant, practical information from each chapter.
Easy-to-follow step-by-step examples. This edition includes over 130 interesting examples that draw from real business situations or events. The solution to each example is worked out in a clear, step-by-step method that uses screen shots to make it easy for students to understand and replicate.
Business analytics focus - The term business analytics is now in the title of the book. This term is now ubiquitous in our area, being extremely popular with both academics and business people and we are pleased that our methods are now so highly regarded.
Updated to Office 2013 - As we were creating this edition of the book, Microsoft released Office 2013. Therefore, all of the screen shots in the book are from this newer version. However, the changes from 2010 to 2013, or even from 2007 to 2013, are not that extensive, at least for our purposes. Therefore, if you are still using Office 2007 or 2010, this book should work fine for you.
Data mining coverage - chapter 17 on data mining is completely new. The topic itself is huge, with many books of various mathematical levels devoted entirely to it and it is impossible to cover it adequately in a single chapter. However, we believe this new chapter provides an exciting, hands-on introduction to data mining.
Content reductions - based on user surveys, we deleted portions of various chapters, particularly Chapter 4 (Probability and probability distributions), that were used least often.
Advanced statistical coverage - there are three online chapters available - chapter 18 (Importing data into Excel), chapter 19 (Analysis of variance and experimental design) and Chapter 20 (Statistical process control).
About the Author

S. Christian Albright received his B. S. degree in Mathematics from Stanford in 1968 and his Ph. D. in operations research from Stanford in 1972. Since then, he has been teaching in the Operations and Decision Technologies Department in the Kelley School of Business at Indiana University. He has taught courses in management science, computer simulation and statistics to all levels of business students - undergraduates, MBAs and doctoral students. His current interest is in spreadsheet modeling, including development of VBA applications in Excel. Dr. Albright has published more than 20 articles in leading operations research journals in the area of applied probability as well as a number of successful textbooks, including Data Analysis and Decision Making, Data Analysis for Managers and Spreadsheet Modeling and Applications.

Wayne L. Winston is Professor Emeritus of Decision Sciences at the Kelley School of Business at Indiana University and is now a Professor of Decision and Information Sciences at the Bauer College at the University of Houston. He has won more than 45 teaching awards, including the school-wide MBA award six times. His current interest is in showing how spreadsheet models can be used to solve business problems in all disciplines, particularly in finance, sports and marketing. In addition to publishing more than 20 articles in leading journals, Dr. Winston has written such successful textbooks as Operations Research - Applications and Algorithms, Mathematical Programming - Applications and Algorithms, Simulation Modeling with @Risk, Data Analysis for Managers, Spreadsheet Modeling and Applications, Mathletics, Data Analysis and Business Modeling with Excel 2013, Marketing Analytics and Financial Models Using Simulation and Optimization. He received his B. S. degree in mathematics from MIT and his Ph. D. in operations research from Yale