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Application Of Data Mining In Telecom Customer Relationship Management And Data Business Marketing

Posted on:2011-01-24Degree:MasterType:Thesis
Country:ChinaCandidate:J G DuFull Text:PDF
GTID:2198330335959926Subject:Software engineering
Abstract/Summary:PDF Full Text Request
With the monopoly of the break, the domestic telecom operators increasingly fierce competition between, and network service quality and other aspects of the differences are gradually reduced, a simple price war on the competition, both losses. Thus, telecommunications companies are seeking to improve service quality, improve the market competitiveness of the method. Faced with this increasingly fierce market competition, telecommunications companies urgently need to improve the scientific enterprise decision-making capacity, and enhance operating in the market and so the correct sense, therefore, telecom operators need data mining technology.In customer relationship management, focus on customer analysis, which should primarily address the question of how data mining based methodology, targeted data mining technology in customer data modeling, the systematic study of these issues is still rare in China.This paper introduces the research background, research status at home and abroad, the concept of customer relationship management and related theories, focusing on analysis of the basic concept of customer relationship management, basic characteristics and customer relationship model, and from economics and marketing Angle explains customer relationship management. Then this article introduces the basic principles of data mining and application model, technology and application of data mining model based on the analysis, data mining in customer relationship management. Then specify the data mining to deepen the practical application of customer relationship management:According to the loss of customers and not the nature of the loss of customer and consumer behavior, excavation analysis, customer churn prediction model to analyze the probability of a larger loss of what customers, lost customers how consumer behavior, resulting in loss of customers and other relevant factors:the application of data mining to segment customers in telecommunications, the exact one to one marketing.Finally, an example:X Province, through data mining in the depth of the music business to help operators in the implementation of the Department of X Province, wireless data services are essential to enhance the music business, on the one hand enhance the X province wireless music business in the country's ranking is deeper data services to enhance the optimization of marketing programs.In this paper, different aspects of data mining in telecommunications customer relationship management application for a systematic and comprehensive integrated expositions of important practical and theoretical significance.
Keywords/Search Tags:Data mining, Customer relationship management, Customer segmentation, Customer churn prediction, Music business
PDF Full Text Request
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