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The Analysis of Telecom Client’s Consuming Behavior Based on OLAP and Data Mining

Author: LinQin
Tutor: TanJunShan
School: Central South University of Forestry Science and Technology
Course: Applied Computer Technology
Keywords: OLAP Data Mining Cluster analysis Consumer behavior analysis
CLC: TP311.13
Type: Master's thesis
Year: 2007
Downloads: 124
Quote: 0
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In today 's fierce competition in the telecommunications industry environment , effective use of data analysis tools , to solve the problem of business operations has a very important significance . In this context , the customer is the key, in addition to the analysis of the basic properties of the customer , should also be further in-depth study of their consumer behavior . Currently, research in this area and bring significant benefits case also small , and is most concentrated in the customer value . This paper, 0LAP and data mining technology combined common analysis of the telecom customer behavior , aims to identify the characteristics of consumer groups as well as the relevant laws , better supporting marketing decisions . In this paper, the billing system Yueyang City three months of consumption data analysis, design, consumer behavior analysis of the theme of the constellation model . The model is based on the application of OLAP analysis techniques to analyze the dimensions and measures to create the characteristics of consumer behavior and consumer grade cubes , sliced ??, cut, rotate, etc. , informed a customer base , levels of consumption and consumer characteristics . OLAP analysis , draw useful conclusions for the fixed telephone cold and hot charging \Further , the application of data mining technology, cluster analysis method to solve the problem of cold and hot charging \the eventual establishment of a clustering model , subdivided into five categories of customer base to identify high-value customer groups and other characteristics of the population , and put forward reasonable suggestions . Data mining analysis process based on the CRISP-DM methodology , the application of the theory of one-way ANOVA of the model were evaluated , the final release of the model . Achieve consumer behavior analysis system , the paper studies the conclusion , provides guidance for decision-making .

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