Data Mining and Business Intelligence: A Guide to Productivity [Paperback]

Stephan Kudyba (Author), Richard Hoptroff (Author)

Book Description

ISBN-10: 1930708033 | ISBN-13: 978-1930708037 | Publication Date: February 9, 2001

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.

Editorial Reviews

Review

"This book takes the reader on a comprehensive tour through the methods and the tools required to transform data into meaningful information and knowledge." -- Matthew J. Diehl, Global Operations Team Leader, BOC Gases

The authors provide an overview of data mining technology and how it is applied in a business environment. -- Business Horizons, September-October 2001

“Provides an overview of data mining technology and how it is applied in a business environment.” -- Book News, Inc., 4-1-01

From the Back Cover

"The authors combination of top-tier academic credentials along with years of experience make this work a unique asset. It sheds new light on the process of estimating Advertising effectiveness and I would recommend it to management across industry sectors as an essential reference to increasing firm efficiency." -Rob Young of HYPN Advertising, a subsidiary of Omni Com

"Readers and business practitioners will do well to read this book because it provides them strategies for growing their business, improving efficiency and making larger profits. Even for the non-practitioners it prvodes valuable information about the changes taking place in this important sector." -Romesh Diwan, Rensselaer Polytechnic Institute

See all Editorial Reviews

Product Details

• Paperback: 180 pages
• Publisher: IGI Global (February 9, 2001)
• Language: English
• ISBN-10: 1930708033
• ISBN-13: 978-1930708037
• Product Dimensions: 10 x 7 x 0.5 inches
• Shipping Weight: 1.1 pounds (View shipping rates and policies)
• Average Customer Review: 4.6 out of 5 stars  See all reviews (5 customer reviews)
• Amazon Best Sellers Rank: #449,093 in Books (See Top 100 in Books)

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Customer Reviews

Most Helpful Customer Reviews

7 of 7 people found the following review helpful:

4.0 out of 5 stars K & H have hit the nail on the head with this book!, April 23, 2001

By 

Richard A Clarkson,VP Deutsche Bank, Investme... (New York , NY) - See all my reviews

This review is from: Data Mining and Business Intelligence: A Guide to Productivity (Paperback)

The managers handbook for information analysis and interpretation in todays electronic world! Kudyba and Hoptroff have demonstrated one of the true 'value added' benefits to this electronic world we live in: technology enhanced business intelligence. As technology aids the processing of information, Data Mining continues to play a large role in delivering information and analysis to enhance productivity. K & H have hit the nail on the head with this book!

5 of 5 people found the following review helpful:

5.0 out of 5 stars Data Mining and Business Intelligence, April 16, 2001

By 

Vincent Polito, International Chairman, Busin... (Philadelphia, PA) - See all my reviews

This review is from: Data Mining and Business Intelligence: A Guide to Productivity (Paperback)

Finally, a practical book that discusses the use of data mining technologies from the position of "adding value" to the business, and tied to fundamental proven economic methods.

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 people found the following review helpful:

5.0 out of 5 stars This is the one., May 1, 2001

By 

J. May (Nashville, TN United States) - See all my reviews
(REAL NAME)   

This review is from: Data Mining and Business Intelligence: A Guide to Productivity (Paperback)

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.