Request for consultation!

Thanks for your request. You’ll soon be chatting with a consultant to get the answers you need.
Your form is submitting please wait...
{{formPostErrorMessage.message}} [{{formPostErrorMessage.code}}]
First Name is required. 'First Name' must contain at least 0 characters 'First Name' cannot exceed 0 characters Please enter a valid First Name
Last Name is required. 'Last Name' must contain at least 0 characters 'Last Name' cannot exceed 0 characters Please enter a valid Last Name
Institution is required.
Discipline is required.
Cengage, at your service! How can we best meet your needs? is required.
Why are you contacting us today? is required. 'Why are you contacting us today?' must contain at least 0 characters 'Why are you contacting us today?' cannot exceed 0 characters Please enter a valid Why are you contacting us today?
field_hint
Test Condition is required. 'Test Condition' must contain at least 0 characters 'Test Condition' cannot exceed 0 characters Please enter a valid Test Condition

Business Analytics, 4th Edition

Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann

  • Copyright 2021
  • {{checkPublicationMessage('Published', '2020-03-10T00:00:00+0000')}}
Starting At £35.00 See pricing and ISBN options
Instructor Next Steps
Students: Buy now
Business Analytics 4th Edition by Jeffrey D. Camm/James J. Cochran/Michael J. Fry/Jeffrey W. Ohlmann
Quick Navigation

Overview

Present the full range of analytics -- from descriptive and predictive to prescriptive analytics -- with Camm/Cochran/Fry/Ohlmann's market-leading BUSINESS ANALYTICS, 4E. Clear, step-by-step instructions teach students how to use Excel, Tableau, R and JMP Pro to solve more advanced analytics concepts. As instructor, you have the flexibility to choose your preferred software for teaching concepts. Extensive solutions to problems and cases save grading time, while providing students with critical practice. This edition covers topics beyond the traditional quantitative concepts, such as data visualization and data mining, which are increasingly important in today's analytical problem solving. In addition, MindTap and WebAssign customizable digital course solutions offer an interactive eBook, auto-graded exercises from the printed book, algorithmic practice problems with solutions and Exploring Analytics visualizations to strengthen students' understanding of course concepts.

{{readMore['overview'] ? 'Read More' : 'Read Less'}}

Meet the Authors

{{collapseContainerClosed['meet-the-author'] ? 'Show More' : 'Show Less'}}

Jeffrey D. Camm

Jeffrey D. Camm is the Inmar Presidential Chair and Senior Associate Dean of Analytics in the School of Business at Wake Forest University. He holds a BS from Xavier University (Ohio) and a PhD 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 45 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 recipient of the 2006 INFORMS Prize for the Teaching of Operations Research Practice. A firm believer in practising 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 INFORMS Journal of Applied Analytics (formerly Interfaces). In 2017, he was named an INFORMS Fellow.

James J. Cochran

James J. Cochran is Professor of Applied Statistics, the Rogers-Spivey Faculty Fellow and Associate Dean for Faculty and Research at the University of Alabama. Born in Dayton, Ohio, he earned his B.S., M.S., and M.B.A. degrees from Wright State University and his Ph.D. from the University of Cincinnati. Dr. Cochran has served 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 45 papers in the development and application of operations research and statistical methods. He has published his research in Management Science, The American Statistician, Communications in Statistics-Theory and Methods, Annals of Operations Research, European Journal of Operational Research, Journal of Combinatorial Optimization, INFORMS Journal of Applied Analytics and Statistics and Probability Letters. He was the 2008 recipient of the INFORMS Prize for the Teaching of Operations Research Practice and the 2010 recipient of the 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. He received the Founders Award in 2014 and the Karl E. Peace Award in 2015 from the American Statistical Association. In 2017 he received the American Statistical Association’s Waller Distinguished Teaching Career Award and was named a fellow of INFORMS. In 2018 he received the INFORMS President’s Award. A strong advocate for effective statistics and operations research education as a means of improving the quality of applications to real problems, Dr. Cochran has organized and chaired teaching workshops throughout the world.

Michael J. Fry

Michael J. Fry is Professor of Operations, Business Analytics and Information Systems 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 his M.S.E. and Ph.D. from the University of Michigan. He has been at the University of Cincinnati since 2002, where he was previously department head. Dr. Fry 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, IISE Transactions, Critical Care Medicine and INFORMS Journal of Applied Analytics (formerly Interfaces). His research interests are in applying quantitative management methods to the areas of supply chain analytics, sports analytics and public-policy operations. He has worked with many 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 and Botanical Garden. Dr. Fry 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.

Jeffrey W. Ohlmann

Jeffrey W. Ohlmann is Associate Professor of Management Sciences 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 his M.S. and Ph.D. from the University of Michigan. He has been 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, the European Journal of Operational Research and INFORMS Journal of Applied Analytics (formerly Interfaces). He has collaborated with companies such as Transfreight, LeanCor, Cargill, the Hamilton County Board of Elections as well as three National Football League franchises. Because of the relevance of his work to 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.

What's New

{{collapseContainerClosed['whats-new'] ? 'Show More' : 'Show Less'}}
  • NEW ONLINE APPENDIX INTRODUCES HOW TO USE TABLEAU FOR DATA VISUALIZATION. This brand-new online appendix details how to maximize the features of Tableau for data visualization. The authors apply their proven, step-by-step presentation methods to clearly guide students through using this powerful software to produce useful charts for analytics.
  • NEW ONLINE CHAPTER APPENDICES FOCUS ON HOW TO USE R SOFTWARE EFFECTIVELY. This edition's Chapters 1 through 9 offer online appendices detailing how to use the popular open-source software R. The appendices introduce R for descriptive statistics, data visualization, probability, regression and data mining. The authors use R Studio for an easier introduction for both you and your students. The R appendices for descriptive data mining (Ch. 4) and prescriptive data mining (Ch. 9) describe these methods using Rattle, an R package that provides a "point-and-click" graphical user interface as well native R commands.
  • NEW HOMEWORK PROBLEMS AND CASES HIGHLIGHT DATA MINING AND CUMULATIVE KNOWLEDGE. The chapters on data mining in this edition contain even more problems that do not require specialized software. This gives you the flexibility to introduce these important topics, even if you do not want students to have to learn additional software to solve the problems. This edition also introduces numerous additional cases throughout the text, including cases that integrate topics from multiple chapters to emphasize how various analytics topics interact and build upon each another.
  • NEW SECTION HIGHLIGHTS LEGAL AND ETHICAL ISSUES IN THE USE OF DATA AND ANALYTICS. Chapter 1 includes a new section that addresses common legal and ethical issues related to the use of data and analytics. This new legal and ethical section discusses recent data privacy laws as well as ethical issues that both practitioners and consumers of analytics models should consider.
  • REVISED DATA MINING CHAPTERS OFFER CLEARER PRESENTATION OF CONCEPTS. The authors have reorganized and updated this edition's data mining chapters to ensure students thoroughly understand the presentation. The descriptive data mining chapter (Ch. 5) now appears after the probability chapter so that the data mining discussion can directly integrate notions of probability within the explanations.

Features

{{collapseContainerClosed['features'] ? 'Show More' : 'Show Less'}}
  • COMPLETELY INTEGRATED COVERAGE OF EXCEL DEMONSTRATES THE LATEST METHODS FOR SOLVING PRACTICAL PROBLEMS. Clear, step-by-step instructions teach students to use Excel as a tool for applying concepts in the book. The authors also include by-hand calculations to highlight specific analytical insights, when appropriate.
  • STEP-BY-STEP INSTRUCTIONS EXPLAIN IMPORTANT ANALYTICAL STEPS. Clear instructions show students how to use a variety of leading software programs to perform the analyses discussed in the text.
  • PRACTICAL, RELEVANT PROBLEMS HELP STUDENTS MASTER CONCEPTS AND HANDS-ON SKILLS. Applications drawn from all functional business areas, including finance, marketing and operations, provide important practice at a variety of levels of difficulty. Time-saving data sets are available for most exercises and cases.
  • ANALYTICS IN ACTION EFFECTIVELY DEMONSTRATE THE IMPORTANCE OF CONCEPTS IN BUSINESS TODAY. Each chapter contains an Analytics in Action feature that presents interesting examples of how professionals use business analytics in actual practice today. Engaging examples are drawn from organizations in a variety of areas, including healthcare, finance, manufacturing and marketing.
  • ONLINE DATA FILES AND MODEL FILES SAVE TIME. All data sets used as examples and used within student exercises are provided online for convenient student download. DATAfiles are files that contain data that corresponds to examples and problems given in the text. MODELfiles contain additional modeling features that highlight the extensive use of Excel formulas or the use of other software.

Table of Contents

{{collapseContainerClosed['table-of-contents'] ? 'Show More' : 'Show Less'}}
1. Introduction.
2. Descriptive Statistics.
3. Data Visualization.
4. Probability: An Introduction to Modeling Uncertainty.
5. Descriptive Data Mining.
6. Statistical Inference.
7. Linear Regression.
8. Time Series Analysis and Forecasting.
9. Predictive Data Mining.
10. Spreadsheet Modeling.
11. Monte Carlo Simulation.
12. Linear Optimization Models.
13. Integer Linear Optimization Models.
14. Nonlinear Optimization Models.
15. Decision Analysis.
Appendix A: Basics of Excel.
Appendix B: Database Basics with Microsoft Access.
Appendix C: Solutions to Even-Numbered Questions (online).

Compare Buying Options

{{collapseContainerClosed['compare-buying-options'] ? 'Show More' : 'Show Less'}}

Options

{{collapseContainerClosed['detail_1'] ? 'Show More' : 'Show Less'}}

Standalone Digital Access — Ultimate Value

Recommended and most popular

  • ISBN-10: 0357131835
  • ISBN-13: 9780357131831
  • RETAIL £0.00

  • ISBN-10: 0357131800
  • ISBN-13: 9780357131800
  • RETAIL £0.00

  • ISBN-10: 035742364X
  • ISBN-13: 9780357423646
  • RETAIL £35.00

  • ISBN-10: 0357491297
  • ISBN-13: 9780357491294
  • RETAIL £45.00

  • ISBN-10: 0357903633
  • ISBN-13: 9780357903636
  • RETAIL £45.00
Instructor Next Steps
Students: Buy now

Textbook Only Options

Traditional eBook and Print Options

{{collapseContainerClosed['detail_0'] ? 'Show More' : 'Show Less'}}

  • ISBN-10: 0357131797
  • ISBN-13: 9780357131794
  • RETAIL £0.00

  • ISBN-10: 0357708385
  • ISBN-13: 9780357708385
  • RETAIL £51.50

  • ISBN-10: 0357131789
  • ISBN-13: 9780357131787
  • RETAIL £191.00

  • ISBN-10: 0357583396
  • ISBN-13: 9780357583395
  • RETAIL £0.00

  • ISBN-10: 0357583418
  • ISBN-13: 9780357583418
  • RETAIL £0.00

  • ISBN-10: 0357583434
  • ISBN-13: 9780357583432
  • RETAIL £0.00

  • ISBN-10: 0357583450
  • ISBN-13: 9780357583456
  • RETAIL £0.00
Instructor Next Steps
Students: Buy now

Supplements

{{collapseContainerClosed['supplements'] ? 'Show More' : 'Show Less'}}

Cengage provides a range of supplements that are updated in coordination with the main title selection. For more information about these supplements, contact your Learning Consultant.

FOR STUDENTS

MindTap for Camm/Cochran/Fry/Ohlmann's Business Analytics, 1 term Instant Access

ISBN: 9780357131831
MindTap for Camm/Cochran/Fry/Ohlmann's Business Analytics, 4th Edition is the digital learning solution that powers students from memorization to mastery. It gives you complete control of your course—to provide engaging content, to challenge every individual, and to build their confidence. Empower students to accelerate their progress with MindTap. MindTap: Powered by You. This best-selling edition covers the full range of analytics, from descriptive and predictive to prescriptive analytics. MindTap includes hundreds of textbook exercises and problems for practice and homework assignments, including many algorithmic variations. All problems include detailed step-by-step solutions. All-new problem walk-through videos guide students through problem-solving. Excel Download activities offer additional opportunities for students to build skills in solving data visualization, spreadsheet models, and simple optimization problems. MindTap gives you complete ownership of your content and learning experience. Customize the interactive syllabi, emphasize the most important topics, and add your own material or notes in the ebook.

MindTap for Camm/Cochran/Fry/Ohlmann's Business Analytics, 2 terms Instant Access

ISBN: 9780357131800
MindTap for Camm/Cochran/Fry/Ohlmann's Business Analytics, 4th Edition is the digital learning solution that powers students from memorization to mastery. It gives you complete control of your course—to provide engaging content, to challenge every individual, and to build their confidence. Empower students to accelerate their progress with MindTap. MindTap: Powered by You. This best-selling edition covers the full range of analytics, from descriptive and predictive to prescriptive analytics. MindTap includes hundreds of textbook exercises and problems for practice and homework assignments, including many algorithmic variations. All problems include detailed step-by-step solutions. All-new problem walk-through videos guide students through problem-solving. Excel Download activities offer additional opportunities for students to build skills in solving data visualization, spreadsheet models, and simple optimization problems. MindTap gives you complete ownership of your content and learning experience. Customize the interactive syllabi, emphasize the most important topics, and add your own material or notes in the ebook.

WebAssign for Cam/Cochran/Fry/Ohlmann's Business Analytics, Multi-Term Instant Access

ISBN: 9780357423646
WebAssign for Cam/Cochran/Fry/Ohlmann's Business Analytics, 4th Edition, is a flexible and fully customizable online instructional solution that puts powerful tools in the hands of instructors, enabling you to deploy assignments, instantly assess individual student and class performance and help your students master the course concepts. With its powerful digital platform and Business Analytics specific content, you can tailor your course with a wide range of assignment settings, add your own questions and content and access student and course analytics and communication tools.