Data Mining and Business Intelligence: A Guide to by Stephan Kudyba

By Stephan Kudyba

Information Mining and company Intelligence: A advisor to productiveness offers an summary of knowledge mining expertise and the way it's utilized in a company atmosphere. It describes the corresponding info mining methodologies which are used to unravel a number of enterprise difficulties, which counterpoint firm-level potency in a much less technical, extra managerial variety. The ebook accommodates the knowledge mining procedure into the spectrum of complementary applied sciences that jointly include company details platforms that advertise enterprise intelligence. company intelligence includes the proliferation of value-added info all through a given firm by utilizing a variety of functions that promotes potency for the enterprise.

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Extra resources for Data Mining and Business Intelligence: A Guide to Productivity

Sample text

As the information economy has evolved, the noteworthy progression of which began in the mid-1990s, economists, analysts and business leaders have devoted time and effort to identifying how the implementation of IT can increase the efficiency or productivity of a given enterprise. , labor displacing technology such as ATMs) as a primary driver of productivity growth. " This idea refers to the process of accessing value added, firm-relevant information in a timely manner. The availability of accurate information enables decision makers across functional areas to better understand the important factors that impact the bottom line of their activities.

BUSINESS INTELLIGENCE EXTENDED: AN INTRODUCTION TO DATA MINING The term data mining has evolved over the years. In fact, as early as 5-10 years ago, many had referred to OLAP analysis as data mining. As the information age continued to evolve, which facilitated the availability of greater amounts of higher quality data, business analysts began to demand more information from this data. The proliferation of customized reports and the ability to scan data by geographic region, functional area and product or process performance, gave end-users a better picture of what was happening in their respective organization.

Finally, it provides an understanding of how the various forms of complementary information technologies work together and with the addition of business strategy, can help increase productivity for a given business entity. Once the reader has a general idea of what data mining, business intelligence and productivity are about, this work then provides a more in-depth description of the theoretical base behind some of the methodologies along with a more technical description of the main mining approaches.

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