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Business Intelligence and Analytics: Systems for Decision Support (10th Edition)
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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.
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Product details
Hardcover: 688 pages
Publisher: Pearson; 10 edition (January 9, 2014)
Language: English
ISBN-10: 0133050904
ISBN-13: 978-0133050905
Product Dimensions:
8.4 x 1.7 x 10.3 inches
Shipping Weight: 3.2 pounds (View shipping rates and policies)
Average Customer Review:
2.9 out of 5 stars
33 customer reviews
Amazon Best Sellers Rank:
#177,654 in Books (See Top 100 in Books)
Edit: I've now finish the whole book. See below for an update.While I'm only about to finish chapter 2, the other reviews here on Amazon have crushed all hope that I have. The book is a constant stream of acronyms (oftentimes undefined), overly wordy descriptions of obvious facts (such as different people having different decision styles), repetition of the same points, lists and figures that neither summarize nor illuminate, and references that were clearly added after the fact in a revision -- you can often guess around what time various lists were made longer and descriptions made more verbose by references to multimedia, virtual reality, intranets, etc.I think that this is the kind of book that an expert in the field would see as complete in that it tries to cover practically everything in the history of BI, but it's totally impenetrable (and demotivational) for the novice who will get bogged down in endless terminology, names of products, and sheer verbosity.I honestly feel bad leaving such a negative review, but it's my hope that any instructor considering this book will not inflict its cost upon their students. Frankly, this book is in dire need of an editor to pare it down to about 1/4 of its size.Update after reading the whole book:The chapters related to operations management / decision science were interesting. These chapters are more hands on, such as how to use linear programming. That being said, it still continues the trend of introducing tons of concepts without defining them (such as "markov models" being mentioned multiple times but never explained -- or at least it wasn't in the index).Overall, I've already forgotten most of the content simply due to the density of the book. Many of the case studies should be completely removed, as they're basically advertisements for companies: some of them even end in "company so-and-so _anticipates_ that it will result in X" -- the study doesn't actually reflect how the solution worked out in practice!
Alyssa's review describe the book 100%. Each chapter talks about some aspect of Decision Support System (DSS) like this: DSS component X is great, example of company that uses component X, some vendors of component X. Rent if you have too, just don't buy the book.
Okay as a primer. Some of the chapters go into a lot of technicalities but it's hard to follow due to the writing style and because there is not enough explanations for things. Ironic, because the chapters are really long. Oh, the case studies or little snippets about actual companies REALLY suck. So generic and worthless like it was written for a middle school homework assignment. I mean have some real, detailed explanations and examples. Almost a waste of money.
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.
This seems to be written for mid- and upper-level management who want to learn about the available options in the business intel and analytics technology market. This book is basically useless if you want to learn any practical skills. ...oh, and it's useful if you're in college and your assignment is to read this book.
I used this in one of my MBA courses and found it to be quite dry and hard to read. The information was way too wordy and it seemed like they put way more information than necessary. The printing was also not the best. The text looked almost more gray than black as if it was cheaply made.
I rented the online book for a class and the format is horrible. It looks like someone scanned the text from the book and added as an online version of the book. I have a Fire HD 10 and I am not able to enlarge the text without the text running off the screen. Highlighting is very difficult in this book. I've rented and purchased several books and have not had issues like I'm having with this book.
Book is okay. There's some good info but what do you expect from a textbook. The seller is good.
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