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Essentials of Business Analytics, by Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. Anderson
Free Ebook Essentials of Business Analytics, by Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. Anderson
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This book provides coverage over the full range of analytics--descriptive, predictive, prescriptive--not covered by any other single book. It includes step-by-step instructions to help students learn how to use Excel and powerful but easy to use Excel add-ons such as XL Miner for data mining and Analytic Solver Platform for optimization and simulation.
- Sales Rank: #33967 in Books
- Published on: 2014-01-01
- Original language: English
- Number of items: 1
- Dimensions: 1.20" h x 8.20" w x 10.00" l, .0 pounds
- Binding: Hardcover
- 696 pages
About the Author
Jeffrey D. Camm is the Inmar Presidential Chair and Associate Dean of Analytics in the School of Business at Wake Forest University. Born in Cincinnati, Ohio, he holds a B.S. from Xavier University (Ohio) and a Ph.D. from Clemson University. Prior to joining the faculty at Wake Forest, he was on the faculty of the University of Cincinnati. He has also been a visiting scholar at Stanford University and a visiting professor of business administration at the Tuck School of Business at Dartmouth College. Dr. Camm has published over 30 papers in the general area of optimization applied to problems in operations management and marketing. He has published his research in Science, Management Science, Operations Research, Interfaces, and other professional journals. Dr. Camm was named the Dornoff Fellow of Teaching Excellence at the University of Cincinnati and he was the 2006 recipient of the INFORMS Prize for the Teaching of Operations Research Practice. A firm believer in practicing what he preaches, he has served as an operations research consultant to numerous companies and government agencies. From 2005 to 2010 he served as editor-in-chief of interfaces.
James J. Cochran is Professor of Applied Statistics and the Rogers-Spivey Faculty Fellow in the Department of Information Systems, Statistics and Management Science at the University of Alabama. He previously served as Professor of Quantitative Analysis and the Bank of Ruston, Barnes, Thompson, & Thurman Endowed Research Professor at Louisiana Tech University and was a visiting scholar at Stanford University, Universidad de Talca, and the University of South Africa. Professor Cochran has published more than two dozen papers in the development and application of operations research and statistical methods, and his research has appeared in MANAGEMENT SCIENCE, THE AMERICAN STATISTICIAN, COMMUNICATIONS IN STATISTICS--THEORY AND METHODS, EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, JOURNAL OF COMBINATORIAL OPTIMIZATION, and other professional journals. He received the 2008 INFORMS Prize for the Teaching of Operations Research Practice and the 2010 Mu Sigma Rho Statistical Education Award. Dr. Cochran was elected to the International Statistics Institute in 2005 and named a Fellow of the American Statistical Association in 2011. A strong advocate for effective operations research and statistics education as a means of improving the quality of applications to real problems, he has organized and chaired teaching effectiveness workshops in Uruguay, South Africa, Colombia, India, Argentina, Kenya, Cameroon, and Croatia. He has served as a statistics and operations research consultant to numerous companies and not-for-profit organizations. He was editor-in-chief of INFORMS TRANSACTIONS ON EDUCATION from 2007 to 2012 and serves on the editorial board of INTERFACES, the JOURNAL OF QUANTITATIVE ANALYSIS IN SPORTS, and ORION. He holds a B.S., M.S., and MBA from Wright State University and a Ph.D. from the University of Cincinnati.
Dr. Michael J. Fry is Associate Professor and Lindner Research Fellow in the Department of Operations, Business Analytics, and Information Systems in the Carl H. Lindner College of Business at the University of Cincinnati, where he also serves as Assistant Director for the Center for Business Analytics. At the University of Cincinnati since 2002, he has been a visiting professor at the Samuel Curtis Johnson Graduate School of Management at Cornell University and the Sauder School of Business at the University of British Columbia. Dr. Fry has published more than twenty research publications in such journals as OPERATIONS RESEARCH, M&SOM, TRANSPORTATION SCIENCE, NAVAL RESEARCH LOGISTICS, IIE TRANSACTIONS, and INTERFACES. His research interests include applying management science methods to the areas of supply chain analytics, sports analytics, and public policy operations. He has worked with many different organizations for his research, Including Dell, Inc., Copeland Corporation, Starbucks Coffee Company, The Cincinnati Fire Department, the State of Ohio Election Commission, the Cincinnati Bengals, and the Cincinnati Zoo and Botanical Gardens. Professor Fry's teaching awards include the 2013 Michael L. Dean Excellence in Graduate Teaching Award and the 2006 Daniel J. Westerbeck Junior Faculty Teaching Award. Born in Killeen, Texas, he earned a B.S. from Texas A&M University, and M.S.E. and Ph.D. degrees from the University of Michigan.
Jeffrey W. Ohlmann is Associate Professor of Management Sciences in the Tippie College of Business at the University of Iowa, where he has been since 2003. Professor Ohlmann's research on the modeling and solution of decision-making problems has produced more than a dozen research papers in such journals as MATHEMATICS OF OPERATIONS RESEARCH, INFORMS JOURNAL ON COMPUTING, TRANSPORTATION SCIENCE, and INTERFACES. He has collaborated with companies such as Transfreight, LeanCor, Cargill, the Hamilton County Board of Elections and the Cincinnati Bengals. Due to the relevance of his work to industry, he received the George B. Dantzig Dissertation Award and was recognized as a finalist for the Daniel H. Wagner Prize for Excellence in Operations Research Practice. Born in Valentine, Nebraska, he earned a BS from the University of Nebraska and MS and PhD degrees from the University of Michigan.
Dr. David R. Anderson is a textbook author and Professor Emeritus of Quantitative Analysis in the College of Business Administration at the University of Cincinnati. He has served as head of the Department of Quantitative Analysis and Operations Management and as Associate Dean of the College of Business Administration. He was also coordinator of the College's first Executive Program. In addition to introductory statistics for business students, Dr. Anderson has taught graduate-level courses in regression analysis, multivariate analysis, and management science. He also has taught statistical courses at the Department of Labor in Washington, D.C. Professor Anderson has received numerous honors for excellence in teaching and service to student organizations. He is the coauthor of ten textbooks related to decision sciences and actively consults with businesses in the areas of sampling and statistical methods. Born in Grand Forks, North Dakota, he earned his BS, MS, and PhD degrees from Purdue University.
Most helpful customer reviews
2 of 2 people found the following review helpful.
Essential Book for Serious Interest in Business Analytics
By Franz Dill
I continue to make my way through this new text. Which seeks to position the three kinds of analytics: Descriptive, Predictive and Prescriptive. As I have preached many times in writing and talks. It always makes sense to proceed in that order of complexity, from the simple to the complex. The book drives that home:
First simply look at the data in alternate forms and devise new ways to describe it. Often that alone can solve your problem. Then seek pattern in your data to find the best opportunities for improvement. That too can often be a place to stop and immediately derive value from your exploration. An then, take your discoveries and insert them directly into your decision process to provide ongoing value.
I have been making my way through many parts of this book, a great resource both at the overview and technical detail level.
Impressed by the book covering so much of this journey. It looks at the descriptive and proceeds to depth. It covers the simplest numerical methods and leads to methods learned in graduate school that we used to call 'operations research'. It covers a wide variety of current software methods, from spreadsheet packages to advanced solvers. And many detailed visualizations. It addresses a wide variety of application areas. An early section describes applications, some surprising. No matter what your area of application is, you will find inspiration here.
One criticism, the topic of Big Data seems somewhat reluctantly brought in. It has a natural connection to the topic that could be further developed.
Still, an excellent text to browse and learn from. I have a dozen topics bookmarked already. Useful for anyone with serious interest in the topic, from executive to practitioner to student. For browsing or for delving into the mathematics. As a practitioner I appreciate the breadth and depth here.
Disclosure: Some of my work is briefly mentioned in the book, starting a the bottom of page 7.
1 of 1 people found the following review helpful.
Not a native Kindle book
By Neil
I will update with a more complete review of the content when I am further into the book. Buyers should note that this is an e-Book not natively designed for Kindle. The impact is that if you zoom in, the book does not automatically redefine its page size. Consequently, what you are viewing is only part of the page, so you need to scroll down to see the rest of the page before navigating to the next page. Frustrating, but not horrible.
For anyone who tried the book sample in a Mac Kindle reader, don't be deterred from buying the Kindle version because of the experience. When I tried the sample it had no ToC, and the page to page navigation was inconsistent. The full Kindle version has a working ToC and page navigation.
1 of 1 people found the following review helpful.
Book is as advertised.
By Marie C.
A book is a book. No bargain here but it was as advertised. No marks, Almost new
See all 8 customer reviews...
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