Data Mining and Business Intelligence: A Guide to Productivity

by Stephan Kudyba, Richard Hoptroff

Overview

An overview of data mining technology and how it is applied in a business environment. Methodologies are described that solve a variety of business problems and enhance firm-level efficiency in a less technical, managerial style. The book also 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 software applications that promote efficiency for the firm.

Product Details

ISBN-13:	9781930708037
Publisher:	IGI Global
Publication date:	04/25/2011
Edition description:	New Edition
Pages:	180
Product dimensions:	7.00(w) x 10.00(h) x 0.38(d)

Editorial Reviews

Provides an overview of data mining technology and how it is applied in a business environment. Material is not written in a technical style, but rather addresses the applied methodology behind implementing data mining techniques in the corporate environment. Explains how the technology evolved, overviews the methodologies that comprise the data mining spectrum, and looks at everyday business applications for data mining, in areas such as marketing and advertising promotions and pricing policies using econometric-based modeling, and using the Internet to help improve an organization's performance. Kudyba is an economic consultant. Hoptroff is an independent consultant with experience in data mining software. Annotation c. Book News, Inc., Portland, OR (booknews.com)

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