Nelson Higher Education

Higher Education

Essentials of Business Analytics, 1st Edition

  • Jeffrey D. Camm
  • James J. Cochran
  • Michael J. Fry
  • Jeffrey W. Ohlmann
  • David R. Anderson
  • Dennis J. Sweeney
  • Thomas A. Williams
  • ISBN-10: 128518727X
  • ISBN-13: 9781285187273
  • 696 Pages | Hardcover
  • COPYRIGHT: 2015 Published
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Overview

About the Product

ESSENTIALS OF BUSINESS ANALYTICS 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. Extensive solutions to problems help instructors master material and grade student assignments.

Features

  • InfoTrac® Student Collections are specialized databases expertly drawn from the Gale Academic One library. Each InfoTrac® Student Collection enhances the student learning experience in the specific course area related to the product. These specialized databases allow access to hundreds of scholarly and popular publications - all reliable sources - including journals, encyclopedias, and academic reports. Learn more and access at: http://gocengage.com/infotrac.

  • Excel is completely integrated throughout the book, so students learn the latest methods for solving practical problems. It includes step-by-step instructions to help students learn how to use Excel to apply material in the book. It also includes by-hand calculation approaches to convey insights when this is appropriate.

  • Step-by-step instructions show students how to use various software programs to perform the analyses discussed in the text. It uses easy-to-use but powerful Excel add-ons such as XL Miner for data mining and Analytic Solver Platform for optimization and simulation.

  • Appendices provide valuable coverage of data management including the use of Microsoft Excel and Access.

  • Practical, relevant problems at a variety of difficulty levels help students learn the material. Applications are drawn from all functional business areas: finance, marketing, operations, etc. Data sets are available for most exercises and cases.

  • Detailed, step-by-step solutions for the problems help instructors master the material and grade student assignments.

  • There is a wide range of problems to select for assignments.

  • Clear exposition and excellent examples have been written for each topic.

  • This book offers a strong orientation towards visual presentation of data and results.

About the Author

Jeffrey D. Camm

Dr. Jeffrey D. Camm is the Inmar Presidential Chair and Associate Dean of Business 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 served on the faculty of the University of Cincinnati. He has also served as a visiting scholar at Stanford University and as a visiting Professor of Business Administration at the Tuck School of Business at Dartmouth College. Dr. Camm has published more than 40 papers in the general area of optimization applied to problems in operations management and marketing. He has published his research in numerous professional journals, including Science, Management Science, Operations Research and Interfaces. 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. In 2016, Dr. Camm received the George E. Kimball Medal for service to the operations research profession and in 2017 he was named an INFORMS Fellow.

James J. Cochran

James J. Cochran is Associate Dean for Research, Professor of Applied Statistics and the Rogers-Spivey Faculty Fellow at The University of Alabama. Born in Dayton, Ohio, he earned his B.S., M.S., and M.B.A. from Wright State University and his Ph.D. from the University of Cincinnati. He has been at The University of Alabama since 2014 and has been a visiting scholar at Stanford University, Universidad de Talca, the University of South Africa and Pole Universitaire Leonard de Vinci. Dr. Cochran has published more than 40 papers in the development and application of operations research and statistical methods. He has published in several journals, including Management Science, The American Statistician, Communications in Statistics—Theory and Methods, Annals of Operations Research, European Journal of Operational Research, Journal of Combinatorial Optimization, Interfaces and Statistics and Probability Letters. He received the 2008 INFORMS Prize for the Teaching of Operations Research Practice, 2010 Mu Sigma Rho Statistical Education Award and 2016 Waller Distinguished Teaching Career Award from the American Statistical Association. Dr. Cochran was elected to the International Statistics Institute in 2005, was named a Fellow of the American Statistical Association in 2011 and was named a Fellow of INFORMS in 2017. He received the Founders Award in 2014, the Karl E. Peace Award in 2015 from the American Statistical Association and the INFORMS President’s Award in 2019. A strong advocate for effective operations research and statistics education as a means of improving the quality of applications to real problems, Dr. Cochran has chaired teaching effectiveness workshops around the globe. He has served as operations research consultant to numerous companies and not-for-profit organizations.

Michael J. Fry

Michael J. Fry is Professor of Operations, Business Analytics, and Information Systems (OBAIS) and Academic Director of the Center for Business Analytics in the Carl H. Lindner College of Business at the University of Cincinnati. 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. He has been at the University of Cincinnati since 2002, where he was previously department chair and has been named a Lindner Research Fellow. He has also 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 25 research papers in journals such as Operations Research, M&SOM, Transportation Science, Naval Research Logistics, IIE Transactions, Critical Care Medicine and Interfaces. His research interests focus on applying analytics to the areas of supply chain management, sports and public-policy operations. He has worked with many different organizations for his research, including Dell, Inc., Starbucks Coffee Company, Great American Insurance Group, the Cincinnati Fire Department, the State of Ohio Election Commission, the Cincinnati Bengals and the Cincinnati Zoo & Botanical Garden. He was named a finalist for the Daniel H. Wagner Prize for Excellence in Operations Research Practice, and he has been recognized for both his research and teaching excellence at the University of Cincinnati. In 2019 he led the team that was awarded the INFORMS UPS George D. Smith Prize on behalf of the OBAIS Department at the University of Cincinnati.

Jeffrey W. Ohlmann

Jeffrey W. Ohlmann is Associate Professor of Business Analytics and Huneke Research Fellow in the Tippie College of Business at the University of Iowa. Born in Valentine, Nebraska, he earned a B.S. from the University of Nebraska, and M.S. and Ph.D. degrees from the University of Michigan. He has taught at the University of Iowa since 2003. Dr. Ohlmann’s research on the modeling and solution of decision-making problems has produced more than two dozen research papers in journals, such as Operations Research, Mathematics of Operations Research, INFORMS Journal on Computing, Transportation Science and European Journal of Operational Research. He has collaborated with companies such as Transfreight, LeanCor, Cargill and the Hamilton County Board of Elections as well as three National Football League franchises. Because of the relevance of his work to the industry, he was bestowed the George B. Dantzig Dissertation Award and was recognized as a finalist for the Daniel H. Wagner Prize for Excellence in Operations Research Practice.

David R. Anderson

Dr. David R. Anderson is a leading 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. Dr. Anderson has received numerous honors for excellence in teaching and service to student organizations. He is the co-author of ten well-respected 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 B.S., M.S., and Ph.D. degrees from Purdue University.

Dennis J. Sweeney

Dennis J. Sweeney is Professor Emeritus of Quantitative Analysis and founder of the Center for Productivity Improvement at the University of Cincinnati. Born in Des Moines, Iowa, he earned a BSBA degree from Drake University and his MBA and DBA degrees from Indiana University, where he was an NDEA Fellow. Professor Sweeney has worked in the management science group at Procter & Gamble and has been a visiting professor at Duke University. Professor Sweeney served as Head of the Department of Quantitative Analysis and four years as Associate Dean of the College of Business Administration at the University of Cincinnati. Professor Sweeney has published more than 30 articles and monographs in the area of management science and statistics. The National Science Foundation, IBM, Procter & Gamble, Federated Department Stores, Kroger and Cincinnati Gas & Electric have funded his research, which has been published in Management Science, Operations Research, Mathematical Programming, Decision Sciences and other journals. Professor Sweeney has co-authored ten textbooks in the areas of statistics, management science, linear programming and production and operations management.

Thomas A. Williams

N/A

Table of Contents

1. What Is Business Analytics?
2. Descriptive Statistics.
3. Data Visualization.
4. Linear Regression.
5. Time Series Analysis and Forecasting.
6. Data Mining.
7. Spreadsheet Models.
8. Linear Optimization Models.
9. Integer Linear Optimization.
10. Nonlinear Optimization Models.
11. Monte Carlo Simulation.
12. Decision Analysis.
Appendix A: Basics of Excel.
Appendix B: Data Management and Microsoft Access.

New to this edition

  • This book offers topical coverage over the full range of analytics--descriptive, predictive, and prescriptive. It integrates several important analytics topics not covered by any other single book. It integrates a traditional quantitative methods curriculum with the concepts of data visualization and data mining that are of growing importance to students who will work in a world inundated with data. The coverage we provide is an elementary introduction accessible to an undergraduate, but rooted in practicality.

Supplements

All supplements have been updated in coordination with the Main title.
Please see Main title page for new to this edition information.

Instructor Supplements

Solutions Manual  (ISBN-10: 1285759117 | ISBN-13: 9781285759111)

Extensive, detailed step-by-step problem solutions help instructors master material and grade student assignments.

CengageNOW, 1 term (6 months) Instant Access  (ISBN-10: 1285768345 | ISBN-13: 9781285768342)

CENGAGENOW ONLINE COURSE MANAGEMENT SYSTEM PROVIDES STUDENT RESULTS NOW! This robust, online course management system gives you more control in less time and delivers better student outcomes -- NOW. CengageNOW includes teaching and learning resources organized around lecturing, creating assignments, grading, quizzing, and tracking student progress and performance. Flexible assignments, automatic grading and a gradebook option provide more control while saving you valuable time. A Personalized Study diagnostic tool empowers students to master concepts, prepare for exams, and become more involved in class.

CengageNOW, 2 terms (12 months) Instant Access  (ISBN-10: 1285768337 | ISBN-13: 9781285768335)

CENGAGENOW ONLINE COURSE MANAGEMENT SYSTEM PROVIDES STUDENT RESULTS NOW! This robust, online course management system gives you more control in less time and delivers better student outcomes -- NOW. CengageNOW includes teaching and learning resources organized around lecturing, creating assignments, grading, quizzing, and tracking student progress and performance. Flexible assignments, automatic grading and a gradebook option provide more control while saving you valuable time. A Personalized Study diagnostic tool empowers students to master concepts, prepare for exams, and become more involved in class.

Student Supplements

Solutions Manual  (ISBN-10: 1285759117 | ISBN-13: 9781285759111)

Detailed, step-by-step problem solutions help students understand the correct process in problem-solving, how to proceed, and provide specific feedback in areas where they encounter difficulty.

CengageNOW, 1 term (6 months) Instant Access  (ISBN-10: 1285768345 | ISBN-13: 9781285768342)

CENGAGENOW ONLINE LEARNING SYSTEM HELPS YOU EARN THE GRADE YOU WANT -- NOW! CengageNOW is an easy-to-use online resource that helps you study in less time to get the grade you want. Make the most of every minute of study and homework. CengageNOW allows you to focus specifically on areas most challenging for you with a personalized study plan that leads you through an interactive understanding of the text's materials. Homework management helps you efficiently complete homework assignments necessary for a successful grade in the course.

CengageNOW, 2 terms (12 months) Instant Access  (ISBN-10: 1285768337 | ISBN-13: 9781285768335)

CENGAGENOW ONLINE LEARNING SYSTEM HELPS YOU EARN THE GRADE YOU WANT -- NOW! CengageNOW is an easy-to-use online resource that helps you study in less time to get the grade you want. Make the most of every minute of study and homework. CengageNOW allows you to focus specifically on areas most challenging for you with a personalized study plan that leads you through an interactive understanding of the text's materials. Homework management helps you efficiently complete homework assignments necessary for a successful grade in the course.