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Decision Support and Business Intelligence Systems (9th Edition), by Efraim Turban, Ramesh E Sharda, Dursun Delen
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Decision Support and Business Intelligence Systems 9e provides the only comprehensive, up-to-date guide to today's revolutionary management support system technologies, and showcases how they can be used for better decision-making.
The 9th edition focuses on Business Intelligence (BI) and analytics for enterprise decision support in a more streamlined book.
- Sales Rank: #326117 in Books
- Published on: 2010-02-05
- Ingredients: Example Ingredients
- Original language: English
- Number of items: 1
- Dimensions: 9.90" h x 1.70" w x 8.00" l, 3.10 pounds
- Binding: Hardcover
- 720 pages
From the Back Cover
Decision Support and Business Intelligence Systems 9e provides the only comprehensive, up-to-date guide to today's revolutionary management support system technologies, and showcases how they can be used for better decision-making.K
EY TOPICS:Decision Support Systems and Business Intelligence. Decision Making, Systems, Modeling, and Support. Decision Support Systems Concepts, Methodologies, and Technologies:� An Overview. Modeling and Analysis. Data Mining for Business Intelligence. Artificial Neural Networks for Data Mining. Text and Web Mining. Data Warehousing. Collaborative Computer-Supported Technologies and Group Support Systems. Knowledge Management. Artificial Intelligence and Expert Systems. Advanced Intelligent Systems. Management Support Systems:� Emerging Trends and Impacts.
Ideal for practicing managers interested in the foundations and applications of BI, group support systems (GSS), knowledge management, ES, data mining, intelligent agents, and other intelligent systems.
About the Author
Efraim Turban (M.B.A., Ph.D., University of California Berkeley) is a visiting scholar at the Pacific Institute for Information System Management, University of Hawaii. Prior to this he was on the staff of several universities including City University of Hong Kong, Lehigh University, Florida International University, California State University Long Beach, Eastern Illinois University, and the University of Southern California. Dr. Turban is the author of over 100 refereed papers published in leading journals such as Management Science, MIS Quarterly, and Decision Support Systems. He also the author of 20 books including Electronic Commerce: A Managerial Perspective and Information Technology for Management. He is also a consultant to major corporations world wide. Dr. Turban’s current areas of interest are Web-based decision support systems, using intelligent agents in electronic commerce systems, and collaboration issues in global electronic commerce.
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Jay E. Aronson (M.S., M.S., Ph.D., Carnegie Mellon University) is a professor of Management Information Systems in the Terry College of Business at The University of Georgia. Prior to this he was on the faculty at Southern Methodist University. Dr. Aronson is the author of about 50 refereed papers that have appeared in leading journals including Management Science, Information Systems Research, and MIS Quarterly. He is the author of three books, and contributes to several professional encyclopedias. He is also a consultant to major international corporations and organizations. Dr. Aronson’s current areas of research include knowledge management, collaborative computing, and parallel computing.
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Ting-Peng Liang (MA, Ph.D., University of Pennsylvania) is a National Chair Professor of Information Systems at National Sun Yat-sen University in Taiwan and a visiting professor at Chinese University of Hong Kong. Prior to this, he had been on the faculties of University of Illinois (Urbana-Champaign) and Purdue University. Dr. Liang has published more than 50 referred research papers in leading journals such as Management Science, MIS Quarterly, Decision Support Systems, and Journal of MIS. He is also the author of three books and a consultant to several major companies in the United States and Taiwan. Dr. Liang’s current areas for research and teaching include Web-based intelligent systems, electronic commerce, knowledge management, and strategic applications of information technologies.
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Ramesh Sharda (MBA, Ph.D, University of Wisconsin-Madison) is Director of the Institute for Research in Information Systems (IRIS), ConocoPhillips Chair of Management of Technology, and a Regents Professor of Management Science and Information Systems in the Spears School of Business Administration at Oklahoma State University. He started and served as the Director of the MS in Telecommunications Management Program at OSU. Over 100 papers describing his research have been published in major journals including Management Science, Information Systems Research, Decision Support Systems, Journal of Management Information Systems, and many others. Dr. Sharda serves on several editorial boards including INFORMS Journal on Computing, Decision Support Systems, and Information Systems Frontiers. His current research interests are in decision support systems, collaborative applications, and technologies for managing information overload. Dr. Sharda is also a co-founder of a company that produces virtual trade fairs, iTradeFair.com.
Most helpful customer reviews
13 of 13 people found the following review helpful.
Good coverage of tech terms
By Donald Hsu
This is the book for the MBA course in Decision Support Systems. The coverage on DSS, BI, modeling, analysis, data warehousing, data visualization, web mining, data mining, AI expert system, knowledge management, system development and acquisition, is very thorough. Case studies at the end of the chapter make the connection between theory and real-world applications.
The book will be better if it has "hands-on" software in AI, BI, or DSS. Lack of the use of software makes this class highly theoretical.
8 of 9 people found the following review helpful.
Overpriced and Garbage
By pjdjr
If you're shopping for this book, it's probably because some professor told you that you need this book for their class. Having just suffered through this text in a class myself, I feel for you.
This book is utterly lacking in substance. Chapters 1, 2, most of 3, 10, and 11 are completely void of anything worth reading. The remaining chapters could have been summarized in about 10 pages each. The only problem with shortening the book to an appropriate length is that then it would be too obvious that $200 is too much to charge for a textbook.
It's incredible how these authors ramble on and on to fill space. They also love to draw artificial delineations (4 types of X, 5 steps involved in Y, etc.). It's also amazing how many "processes" are described in the book and how the steps in each process have different names but yet they're all the same. (Idea-->Planning-->Implementation-->Analysis-->Repeat or some such cycle) It's all just common sense but they feel the need to label these things. Which means you'll have to memorize their arbitrary categories, steps, lists, etc.
In the end, you're going to buy this book if your professor told you to. You won't learn a dang thing. The authors will cash their checks and release a new edition to quash the used market. I'm glad I'm finished with this vapid volume. Hang in there; you'll be done soon, too.
6 of 7 people found the following review helpful.
All about Business Intelligence
By Rolando Gonzales
This book in its 8th edition y a very good one covering all aspects of Business Intelligence, Data Warehousing and Decision Support Systems. It covers Computerized Decision Support Systems; Business Intelligence; Collaboration, Communication, Group Support Systems and Knowledge Management; and Intelligent Systems. I think it is a very good text for a student or researcher that wants to start an investigation in this area. It is easy to read, has enough additional references and has good Web support. I am a student of the doctoral program of Management at ESADE (Spain) and ESAN (Peru).
Rolando Gonzales - rolangon
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