Higher Education

Essentials of Business Analytics, 1st Edition

  • Jeffrey D. Camm Wake Forest University
  • James J. Cochran University of Alabama
  • Michael J. Fry University of Cincinnati
  • Jeffrey W. Ohlmann University of Iowa
  • David R. Anderson University of Cincinnati
  • Dennis J. Sweeney University of Cincinnati
  • Thomas A. Williams Rochester Institute of Technology
  • ISBN-10: 128518727X  |  ISBN-13: 9781285187273
  • 696 Pages
  • © 2015 | Published
  • College Bookstore Wholesale Price = $184.50
  • Newer Edition Available
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About

Overview

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 and Benefits

  • 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.

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.

What's New

  • 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.

Learning Resource Bundles

Choose the textbook packaged with the resources that best meet your course and student needs. Contact your Learning Consultant for more information.

Bundle: Text + LMS Integrated for CengageNOW™, 1 term Printed Access Card

ISBN-10: 130542588X  | ISBN-13: 9781305425880

List Price = $258.95  | College Bookstore Wholesale Price = $194.50

This Bundle Includes:

  • Essentials of Business Analytics
    List Price = $245.95  | CengageBrain Price = $245.95  | College Bookstore Wholesale Price = $184.50
  • LMS Integrated for CengageNOW™, 1 term Printed Access Card
    List Price = $130.00  | College Bookstore Wholesale Price = $97.50


ePack: Solutions Manual for Camm/Cochran/Fry/Ohlmann/Anderson/Sweeney/Williams' Essentials of Business Analytics + Student Solutions Manual Instant Access

ISBN-10:  1305524322  | ISBN-13:  9781305524323

List Price = $113.95  | CengageBrain Price = $113.95  | College Bookstore Wholesale Price = $85.75

This Bundle Includes:

  • Solutions Manual
    List Price = $40.95  | College Bookstore Wholesale Price = $30.75
  • Student Solutions Manual Instant Access
    List Price = $55.00  | CengageBrain Price = $55.00  | College Bookstore Wholesale Price = $55.00


Printed Text + LMS Integrated for CengageNOW™, 1 term Instant Access

ISBN-10:  1305615603 | ISBN-13:  9781305615601

List Price = $258.95  | CengageBrain Price = $258.95  | College Bookstore Wholesale Price = $194.50

This Bundle Includes:

  • Essentials of Business Analytics
    List Price = $245.95  | CengageBrain Price = $245.95  | College Bookstore Wholesale Price = $184.50
  • LMS Integrated for CengageNOW™, 1 term Instant Access
    List Price = $130.00  | CengageBrain Price = $130.00  | College Bookstore Wholesale Price = $130.00


Supplements

All supplements have been updated in coordination with the main title. Select the main title's "About" tab, then select "What's New" for updates specific to title's edition.

For more information about these supplements, or to obtain them, contact your Learning Consultant.

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.

List Price = $130.00  | CengageBrain Price = $130.00  | College Bookstore Wholesale Price = $130.00

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.

List Price = $140.00  | CengageBrain Price = $140.00  | College Bookstore Wholesale Price = $140.00

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.

List Price = $40.95  | College Bookstore Wholesale Price = $30.75

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.

List Price = $130.00  | CengageBrain Price = $130.00  | College Bookstore Wholesale Price = $130.00

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.

List Price = $140.00  | CengageBrain Price = $140.00  | College Bookstore Wholesale Price = $140.00

Meet the Author

Author Bio

Jeffrey D. Camm

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

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.

Michael J. Fry

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

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.

David R. Anderson

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.

Dennis J. Sweeney

Dr. Dennis J. Sweeney is a textbook author, Professor Emeritus of Quantitative Analysis and founder of the Center for Productivity Improvement at the University of Cincinnati. He also served five years as head of the Department of Quantitative Analysis and four years as Associate Dean of the College of Business Administration. In addition, he has worked in the management science group at Procter & Gamble and has been a visiting professor at Duke University. Professor Sweeney has published more than 30 articles 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. Dr. Sweeney is the coauthor of ten textbooks in the areas of statistics, management science, linear programming, and production and operations management. Born in Des Moines, Iowa, he earned a BS degree from Drake University, graduating summa cum laude. He received his MBA and DBA degrees from Indiana University, where he was an NDEA Fellow.

Thomas A. Williams

Dr. Thomas A. Williams is Professor of Management Science in the College of Business at Rochester Institute of Technology where he was the first chairman of the Decision Sciences Department. He teaches courses in management science and statistics, as well as graduate courses in regression and decision analysis. Before joining the College of Business at RIT, Professor Williams served for seven years as a faculty member in the College of Business Administration at the University of Cincinnati, where he developed the undergraduate program in Information Systems and then served as its coordinator. The co-author of 11 leading textbooks in the areas of management science, statistics, production and operations management, and mathematics, Professor Williams has been a consultant for numerous Fortune 500 companies and has worked on projects ranging from the use of data analysis to the development of large-scale regression models. He earned his B.S. degree at Clarkson University and completed his graduate work at Rensselaer Polytechnic Institute, where he received his M.S. and Ph.D. degrees.