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Customer is an important strategic resources for enterprise, only use effective customer management can promote the development of the enterprise. Customer classification management is the key to customer relationship management, and the key to effective customer classification is to select the appropriate classification index and effective classification method. In this paper, the customer classification...
The data mining is widely used in various industries with its powerful data processing and information mining capabilities. The CRM system has been used popularly, especially in the communications industry. The important component of the CRM system is how to segment customers, which is one of the bases to do the other decisions. An efficient and simple method of the mobile VIP customer segmentation...
At first, this paper introduces the CRM and data mining and the concept of Clustering Analysis, And then started from Customer relationship management's core values-Customer Value, deeply expound the meaning of customer value and it is in a key position in the customer relationship management. And in-depth study CRM Customer Value Analysis by applying Data Mining Technology, The purpose of in-depth...
Based on customer relationship management theory, software engineering theory, data mining technology, according to the characteristics of small and medium-sized enterprises of wholesale and retail, I designed the system structure of the small and medium-sized wholesale and retail enterprises CRM(SMS-CRM), focused on applying of data mining and establishing customer analysis system of sell business,...
From the angle of customer value and customer behavior, this paper utilizes data mining methods to segment the clients in security industry. Clustering algorithm is a kind of customer segmentation methods commonly used in data mining. In this article, a two-stage integration of K-means clustering algorithm and SOM network is applied to segment customers and finally forms groups of clients with different...
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