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Interpretation of the results based on clustering method Characteristics of client base

Author: MaYueMeng
Tutor: LiBaoJia
School: Harbin Institute of Technology
Course: Technology Economics and Management
Keywords: Customer Relationship Management Explain the clustering results Factor Analysis Customer base characteristics
CLC: F224
Type: Master's thesis
Year: 2011
Downloads: 62
Quote: 0
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Abstract


The continuous development of market economy makes customer relationship management in enterprise management increasingly prominent . Customer segmentation as an important method of customer relationship management , enterprise customers can be effectively divided , enabling enterprises according to different customer groups to develop appropriate management strategies characteristic . In customer demand personalized and diversified situation, customer base feature extraction has become an important research topic. For after the breakdown of the problem is difficult to extract customer base characteristics proposed interpretation of the results based on clustering feature extraction method . The method of factor analysis and cluster analysis combined with the use of factor analysis to extract interpretable factors effect on customer segmentation indicators for feature extraction factor and cluster computing customers after various customer groups the mean factor scores , in tabular and graphical form compact representation of the calculated results . According to each customer group characteristic factor values ??and characteristics of factors including the size of a customer client base indicators to analyze the characteristics described. On the applicability of the method and the advantages of a comparative analysis , the method described in the customer base characteristics of the rational and scientific. Will present customer base characteristics of analytical methods used in the telecommunications industry, customer relationship management empirical analysis , we got the best customer base and customer base characteristic factor values ??, its analysis is not only able to feature a clear understanding of the various customer groups , to solve the customer indicators sophisticated client base brings the issue is difficult to extract features ; and according to the size and characteristics of factor values ??characteristic factor highly correlated customers included principles, analysis shows the characteristics of the various customer groups , for enterprises to develop cross-selling , bundling and development of new products to provide valuable information. Customer base relative to the previous feature extraction and analysis of more practical value .

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CLC: > Economic > Economic planning and management > Economic calculation, economic and mathematical methods > Economic and mathematical methods
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