The analysis of customer value dimensions´ difference of the bank´s interacting channel

This paper takes the study of customer´s desired value of the bank´s interacting channel in X city and the data of the questionnaire as the background, and uses the model of factor analysis and the model of K-mean cluster to analyze the data and finds out the customer´s value dimensions and four different customer groups which is taking the customer´s value dimensions as analysis variables of K-means cluster, then on the basis of these two results, the paper analyzes the difference of the customer´s value dimensions among different customer groups. On the base of the customer value, this paper proposes the study method of analyzing the customer´s value dimensions´ difference among different customer groups and uses the tools of applied statistics to gain the knowledge of bank´s customers´ value so that it can provide some academic supports for the bank to develop and integrate the interacting channel service and the satisfaction of the customer.