PDF Ebook Business Intelligence and Analytics: Systems for Decision Support (10th Edition), by Ramesh Sharda, Dursun Delen, Efraim Turban
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Business Intelligence and Analytics: Systems for Decision Support (10th Edition), by Ramesh Sharda, Dursun Delen, Efraim Turban
PDF Ebook Business Intelligence and Analytics: Systems for Decision Support (10th Edition), by Ramesh Sharda, Dursun Delen, Efraim Turban
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Decision Support and Business Intelligence Systems 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 10th edition focuses on Business Intelligence (BI) and analytics for enterprise decision support in a more streamlined book.
- Sales Rank: #50759 in Books
- Published on: 2014-01-09
- Original language: English
- Number of items: 1
- Dimensions: 10.10" h x 1.60" w x 8.10" l, .0 pounds
- Binding: Hardcover
- 688 pages
About the Author
Ramesh Sharda (M.B.A., Ph.D., University of Wisconsin—Madison) is Director of the PhD in Business for Executives Program and 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 at Oklahoma State University (OSU). About 200 papers describing his research have been published in major journals, including Operations Research, Management Science, Information Systems Research, Decision Support Systems, and Journal of MIS. He cofounded the AIS SIG on Decision Support Systems and Knowledge Management (SIGDSS). Dr. Sharda serves on several editorial boards, including those of INFORMS Journal on Computing, Decision Support Systems, and ACM Transactions on Management Information Systems. He has authored and edited several text and research books and serves as the co-editor of several book series (Integrated Series in Information Systems, Operations Research/Computer Science Interfaces, and Annals of Information Systems) with Springer. He is also currently serving as the Executive Director of the Teradata University Network. His current research interests are in decision support systems, business analytics, and technologies for managing information overload.
Dursun Delen (Ph.D, Oklahoma State University) is the Spears and Patterson Chairs in Business Analytics, Director of Research for the Center for Health Systems Innovation and Professor of Management Science and Information Systems in the Spears School of Business at Oklahoma State University (OSU). Prior to his academic career, he worked for a privately-owned research and consultancy company, Knowledge Based Systems Inc., in College Station, Texas, as a research scientist for five years, during which he led a number of decision support and other information systems related research projects funded by federal agencies, such as DoD, NASA, NIST and DOE. Dr. Delen’s research has appeared in major journals including Decision Support Systems, Communications of the ACM, Computers and Operations Research, Computers in Industry, Journal of Production Operations Management, Artificial Intelligence in Medicine, Expert Systems with Applications, among others. He recently published four textbooks: Advanced Data Mining Techniques with Springer, 2008; Decision Support and Business Intelligence Systems with Prentice Hall, 2010; Business Intelligence: A Managerial Approach, with Prentice Hall, 2010; and Practical Text Mining, with Elsevier, 2012. He is often invited to national and international conferences for keynote addresses on topics related to Data/Text Mining, Business Intelligence, Decision Support Systems, and Knowledge Management. He served as the general co-chair for the 4th International Conference on Network Computing and Advanced Information Management (September 2-4, 2008 in Soul, South Korea), and regularly chairs tracks and mini-tracks at various information systems conferences. He is the associate editor-in-chief for International Journal of Experimental Algorithms, associate editor for International Journal of RF Technologies and Journal of Decision Analytics, and is on the editorial boards of five other technical journals. His research and teaching interests are in data and text mining, decision support systems, knowledge management, business intelligence and enterprise modeling.
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 more than 100 refereed papers published in leading journals, such as Management Science, MIS Quarterly, and Decision Support Systems. He is 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 worldwide. Dr. Turban’s current areas of interest are Web-based decision support systems, social commerce and collaborative decision making.
Most helpful customer reviews
11 of 11 people found the following review helpful.
The authors wrote this in a verbose manner when they could have easily summed up the topics
By Alyssa
This was an awful read. I almost got nothing out of it. The authors wrote this in a verbose manner when they could have easily summed up the topics. Some of the chapters are 50-60 pages long when the same material could have been covered in 20-30 pages. Everything that is discussed is from a black-box perspective, no real-world examples what-so-ever. It goes something like this: decision support systems are great tools to use (which is worded in two paragraphs), some company used it and had great results (two pages for that), here are five references where you can learn more (nothing but a space eater for references that you would never have time to look-up). Basically, you'll learn some acronyms and buzz words, but you won't have the first clue how to implement any of the topics discussed. Absolutely dreadful and worthless!!
10 of 11 people found the following review helpful.
Go find another book. Skip this one
By Argentox
The worse book EVER. I am computer engineer doing a master in MIS. This book is our textbook for the BI class. The subject is fascinating but this book presents it in awfully lengthy and boring way. Every chapter is about 50 pages too long. No hands on information just a bunch of useless buzzwords that suit well the people who are used to teach not to do. You won't get ANYTHING out of this book except a nice snooze. I just posted a picture of one of the numerous tables that don't make sense.
I think this is a bunch of useless BALOWNEY. You will scratch your head to death trying to find any valuable information in this book.
6 of 7 people found the following review helpful.
verbose and lacks substance
By Moh
This was a required text for a post graduate class. Unfortunately, while the description and content page give the impression that this is a comprehensive and well structured book, the content is underwhelming and the book is certainly not worth the cost. If you're forced to purchase like I was, rent it instead.
This book is extremely verbose and the content lacks substance. Don't expect more substance than any given trade magazine or internet article. If I had to wager a guess, the authors have never implemented or even whitenessed any of the technology they write about. Extremely disappointing and not worth my time.
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