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Data Mining

In today's information age, many businesses rely on customer information for survival. Data mining is a relatively new and very important tool in aquiring knowledge on thier customers, spending habbits, geograpphical trends, and more. "Data mining is an information extraction activity which has as its goal the discovery of hidden facts contained within databases." What this means is its automated procedures used to find unknown patterns in order to make likely predictions such as consumer spending habbits. Eric Brethenoux, a research director for advanced technologies at the Gartner Group, is one of many who believes that datamining is a technology in which a company cannot afford to ignored. With present day data mining capabalities, it is now possible to spot trends in data in information companies stored from the past, creating a competative advantage for the company with the most information. The power of datamining lies in the way it does not rely on narrow human queries to produce results, but instead uses technol


In specific, data mining is used for:

Where and What Is Data Mining Most Commonly Used



Some common words found in the essay are:
Data Mining, OLAP DSS, Eric Brethenoux, Mining Commonly, data mining, Intelligence Using, DataX DbBridge, IRIS IXL, olap dss, market profile, SE-Learn Sipina-W, AC2 ALICE, Cited Quote, data mining commonly, trends data, spending habbits, artificial intelligence, target marketing, trends relationships, data warehouse, data mining olap, mining olap dss, software data mining, mining commonly,
Approximate Word count = 717
Approximate Pages = 3 (250 words per page double spaced)


  

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