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Application Of Data Mining Technology To Customer Analysis

Posted on:2007-07-30Degree:MasterType:Thesis
Country:ChinaCandidate:X L YangFull Text:PDF
GTID:2179360182981972Subject:Industrial Economics
Abstract/Summary:PDF Full Text Request
With the market economy has developed and perfected progressively and the competition between business are becoming more and more sharp, people has gradually realized the importance of customer to the enterprises that is without outstanding customer sources, the enterprises can not able to develop further. Therefore, it has become a pressing subject to all enterprises when doing business that how to understand more about customer's information and turning this information into "knowledge" so as to provide high quality personnel service, improve customer's satisfaction, maintain and find high value customers.Data Mining is a new technology on information process. The main feature of this technology is to extract, transform and analyze large amount of business data in database, then pick up those information that is helpful to business decision. It also can find some unknown, valuable rules among thousands of business customer information data so as to help enterprises phase in intelligent management.This article focuses on applying of data mining and establishing customer analysis system of sell business. Design construction of customer analysis system and design several data mining models. Implement arithmetic of data mining, and analyze the models using sales data of certain retail business.The concept of this report will bring new idea to business enterprises, help them to improve customer satisfaction and win competition, and have a useful try in application of customer analysis in sell business.
Keywords/Search Tags:data mining, customer subdivision, customer value
PDF Full Text Request
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