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Business Analytics Principles, Concepts, and Applications with SAS: What, Why, and How (FT Press Analytics) By Marc J. Schniederjans, Dar
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- Sales Rank: #107029 in Books
- Published on: 2014-10-17
- Original language: English
- Number of items: 1
- Dimensions: 9.20" h x 1.20" w x 7.10" l, .0 pounds
- Binding: Hardcover
- 352 pages
From the Back Cover
Today’s Most Complete, Up-to-Date, and Practical Introduction to Business Analytics with SAS
- Covers both core concepts and modern SAS-based techniques
- Presents strategies and best practices for descriptive, predictive, and prescriptive analytics
- For all beginning-to-intermediate-level analysts and analytics managers and for MBA/Masters or advanced undergraduate students
Starting with the basics, the authors offer an up-to-date view of what business analytics is, why it is so valuable, and, most importantly, how it is used. They combine essential conceptual content with clear, step-by-step explanations of how to perform each important statistical task with SAS.
Using SAS-based examples, they identify common challenges that can be addressed by business analytics, illustrate each type of analytics (descriptive, prescriptive, and predictive), and offer indispensable practical guidance for undertaking your own projects.
Business analytics can help you sort through massive amounts of data, identify meaningful patterns, transform patterns into insights, and use those insights to make more profitable decisions. The authors start with a complete conceptual introduction, explaining how business analytics can drive competitive advantage and how to align your organization to make the most of it. You’ll find realistic coverage of key managerial and technical issues, from organizational structure to data quality.
Next, you’ll master practical methodologies, strategies, and best practices for performing each leading form of analytics with SAS: descriptive, predictive, and prescriptive. Throughout, you’ll learn from realistic case studies and solved problems and get hands-on experience with powerful SAS software tools. A capstone SAS-based project integrates key processes and techniques, preparing you to succeed on your own.
- What is business analytics?
- What questions can it answer?
- How can it drive competitive advantage?
- What resources and skills do you need?
- How do you prepare the organization for it?
- What obstacles must you overcome?
- What are the key statistical techniques?
- How do you perform each analytic task with SAS?
- How do you handle entire projects in SAS, from start to finish?
About the Author
Marc J. Schniederjans is the C. Wheaton Battey Distinguished Professor of Business in the College of Business Administration at the University of Nebraska-Lincoln and has served on the faculty of three other universities. Professor Schniederjans is a Fellow of the Decision Sciences Institute (DSI) and in 2014-2015 will serve as DSI’s president. His prior experience includes owning and operating his own truck leasing business. He is currently a member of the Institute of Supply Management (ISM), the Production and Operations Management Society (POMS), and Decision Sciences Institute (DSI). Professor Schniederjans has taught extensively in operations management and management science. He has won numerous teaching awards and is an honorary member of the Golden Key honor society and the Alpha Kappa Psi business honor society. He has published more than a hundred journal articles and has authored or coauthored twenty books in the field of management. The title of his most recent book is Reinventing the Supply Chain Life Cycle, and his research has encompassed a wide range of operations management and decision science topics. He has also presented more than one hundred research papers at academic meetings. Professor Schniederjans is serving on five journal editorial review boards, including Computers & Operations Research, International Journal of Information & Decision Sciences, International Journal of Information Systems in the Service Sector, Journal of Operations Management, and Production and Operations Management. He is also serving as an area editor for the journal Operations Management Research and as an associate editor for the International Journal of Strategic Decision Sciences and International Journal of the Society Systems Science and Management Review : An International Journal (Korea). In addition, Professor Schniederjans has served as a consultant and trainer to various business and government agencies.
Dara G. Schniederjans is an assistant professor of Supply Chain Management at the University of Rhode Island, College of Business Administration. She has published articles in journals such as Decision Support Systems, Journal of the Operational Research Society, and Business Process Management Journal. She has also coauthored two text books and coedited a readings book. She has contributed chapters to readings utilizing quantitative and statistical methods. Dara has served as a guest coeditor for a special issue on Business Ethics in Social Sciences in the International Journal of Society Systems Science. She has also served as a website coordinator for Decisions Sciences Institute. She currently teaches courses in Supplier Relationship Management and Operations Management.
Christopher M. Starkey is an economics student at the University of Connecticut-Storrs. He has presented papers at the Academy of Management and Production and Operations Management Society meetings. He currently teaches courses in Principles of Microeconomics and has taught Principles of Macroeconomics. His current research interests include macroeconomic and monetary policy, as well as other decision-making methodologies.
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