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Business Intelligence: a Managerial Approach Paperback – 4 Apr 2007


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Product details

  • Paperback: 264 pages
  • Publisher: Prentice Hall; 1 edition (4 April 2007)
  • Language: English
  • ISBN-10: 013234761X
  • ISBN-13: 978-0132347617
  • Product Dimensions: 20.3 x 1.3 x 25.2 cm
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Bestsellers Rank: 1,836,532 in Books (See Top 100 in Books)
  • See Complete Table of Contents

More About the Authors

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Product Description

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 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 21 books, including Electronic Commerce: A Managerial Perspective, Decision Support Systems, andInformation 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, the use of intelligent agents in e-commerce systems, and collaboration issues in global e-commerce.

 

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, andMIS Quarterly. He is the author of 3 books, and he has contributed 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.

 

Ramesh Sharda (M.B.A., 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 (OSU). He started and served as the director of the M.S. in Telecommunications Management Program at OSU. More than 100 papers describing his research have been published in major journals, including Management Science, Information Systems Research, Decision Support Systems, and Journal of Management Information Systems. Dr. Sharda serves on several editorial boards, including those of 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 iTradeFair.com, a company that produces virtual trade fairs.

 

Dave King (Ph.D.), has over 25 years experience leading the development of decision support, performance management and enterprise system software.  Currently, he is the Sr. VP of New Product Development at JDA Software, Inc. in Scottsdale Arizona.  He joined JDA in 2004 after serving a number of years as the Sr. VP of Product Development and CTO for Comshare Inc.  Dr. King has authored a number of articles and books and is the co-author of Electronic Commerce: A Managerial Perspective (Prentice-Hall).  He also serves on a variety of industrial advisory and university boards including the MIS Advisory board at the University of Georgia and the Technopolis Advisory Board at Arizona State University.



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Most Helpful Customer Reviews

Format: Paperback Verified Purchase
Comprehensive and easy book. A good introduction and basic reference book for Business Intelligence and Data Mining. A Business perspective.
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Most Helpful Customer Reviews on Amazon.com (beta)

Amazon.com: 13 reviews
6 of 6 people found the following review helpful
Review by J. Colannino 3 Dec 2012
By Joseph Colannino - Published on Amazon.com
Format: Paperback
The Knowledge and Project Management (KPM) that I helped to organize is now in its fourth year and Tulsa is fast becoming the epicenter of knowledge management. At this year's symposium, Dursun Delen, a professor in the MBA program at Oklahoma State University spoke about business intelligence (aka business analytics). Having the privilege of hearing him speak, I purchased a copy of *Business Intelligence, A Managerial Approach* which he coauthored With Turban et al.

The book starts slowly and I have some disagreements with the authors about the details of some models in the early chapters. However, by Chapter 3, the book seems to hit its stride. The book is organized into 6 chapters and is tailored for a student audience with opening and closing vignettes, chapter questions, and end of chapter exercises: Chapter 1, Introduction to Business Intelligence; Chapter 2, Data Warehousing; Chapter 3, Business Performance Management; Chapter 4, Data Mining for Business Intelligence; Chapter 5, Text and Web Mining; and Chapter 6, Business Intelligence Implementation: Integration and Emerging Trends.

I should get a minor irritation out of the way -- a few acronyms are not defined. This is perhaps not so surprising. Business books are full of acronyms and this one is no exception. However, a glossary defines most (but not all) of the important ones. Notwithstanding, anyone with access to the Internet should have no trouble finding definitions for the occasional slip.

Overall, the book does a cursory job of introducing the student to the subject of business analytics. The book also discusses six sigma, balanced scorecard, and other business analytic frameworks that will serve students and practitioners well. With respect to text mining, the book attempts its most detailed treatment. This was of particular interest to me since my Master's Thesis was on the use of statistically improbable phrases for text mining and the place that I introduced the concept of semantic filtering as an aid to the processing of natural language texts. For those less egg-headed, the book will function as a brief introduction. However, in the end, the text has insufficient depth of field for the subjects it touches, and for that reason, I do not recommend it.
4 of 4 people found the following review helpful
Crap 10 Dec 2013
By Mike B. - Published on Amazon.com
Format: Paperback Verified Purchase
- Very poorly written book
- Referenced Wikipedia multiple times
- Key words are bolded but not defined

It seems like this book was a collection of research papers that was lazily put together.
2 of 2 people found the following review helpful
Okay 9 Aug 2013
By Nikki A. - Published on Amazon.com
Format: Paperback Verified Purchase
I was surprised to see that the text used citations from Wikipedia. Could the authors not have obtained better references?
1 of 1 people found the following review helpful
It's good 10 Dec 2012
By J. Govoni - Published on Amazon.com
Format: Paperback Verified Purchase
The book has a couple of very good cases. I recall reading this at the beach in September during a course, it was a nice read.
Good for a textbook 22 July 2013
By Lonnie - Published on Amazon.com
Format: Paperback Verified Purchase
There is no doubt this is a textbook. But, due to the freshness of the topic, it incorporates a lot of recent trends in the BI industry. It is definitely only an introductory text, but I enjoyed it more than most textbooks.
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