Data Mining and Business Intelligence: A Guide to Productivity provides an overview of data mining technology and how it is applied in a business environment. It describes the corresponding data mining methodologies that are used to solve a variety of business problems, which enhance firm-level efficiency in a less technical, more managerial style. The book incorporates the data mining process into the spectrum of complementary technologies that together comprise corporate information systems that promote business intelligence. Business intelligence involves the proliferation of value-added information throughout a given enterprise through the use of various applications that promotes efficiency for the firm.

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The focus of the book is on connecting information technologies and tools to the "business drivers." Data mining technologies frequently are misunderstood, inappropriately planned and deployed, and typically left to the mathematicians instead of putting the tools in the hands of those who could use it best; the business analysts and executives who "know" the business.

Concentrating on the process of adding value within an integrated business intelligence architecture, the authors discuss such topics as Six Sigma, Market Basket analysis and other practical uses of data mining as a strategic competitive weapon.

If you have or are considering how data mining technologies fit in with business intelligence or decision support systems, then read this book. It will also comfortably fit into your briefcase, unlike the typical book-size tombs normally written on data mining.

3 of 3 found the following review helpful:

This is the one.May 01, 2001
By J. May
Everything you need to know to start using the potential of progressive data mining resources that computer technology has made possible is in this book. Using these techniques, our firm was able to quickly recognize wasted effort and eliminate it, and then to zero in on where financial rewards were most likely. The result has been better profits, and a happier, less frustrated organization. I strongly recommend this book to business decision makers of all kinds. It will change the way you look at your operation. to quote the Beatles: Messrs K & H assure the public a splendid time is guaranteed to all.

5 of 6 found the following review helpful:

Jeff Nicola, Business Strategy ConsultantApr 19, 2001
By Jeffrey G. Nicola "NU Wildcat"
This book, following a conversational yet didactic format, touches upon the critical issues surrounding the effective use and implementation of business intelligence tools / concepts. Kudyba and Hoptroff have distilled the salient features of complex data preparation, analysis, and presentation methodologies with the average business user in mind. It was refreshing to finally find a book that attempts to "put all the BI - instead of the BS - together" for the enterprise. This is a must read for those just getting into advanced analytical applications; yet, it also serves as a good refresher for those already entrenched in CRM and BI implementation.

Give it a shot, you won't regret it!Apr 24, 2001

The market is saturated with IT/business books and often times it's hard to spot something that in fact might be useful. This book seems to be one of those few picks. Without going into a 300 page narrative, the authors manage to clearly address their points and fill in the bottomless gap between sophisticated IT and business solutions. Data Mining became a hot topic only a few years ago, but it has a great future. The earlier you get a handle on it, the better chance you have to stay on the cutting edge of business tomorrow. "Data Mining & Business Intelligence: A Guide to Productivity" gives you basic guidelines for a smarter way to manage data in your organization. It explains what tools you can use and teaches you the actual methods for data management. It's a great source of information for busy people who want to make a change in their organizations as well as for students, who by reading this book, can better see the needs of today's business world.