基于二阶聚类分析的客户管理分类研究  

Research on customer classification management based on two step clustering analysis

作　　者：孙李红[1] 杨稳稳 SUN Li-hong;YANG Wen-wen(School of Basic Science,Harbin University of Commerce,Harbin 150028,China)

机构地区：[1]哈尔滨商业大学基础科学学院

出　　处：《哈尔滨商业大学学报（自然科学版）》2019年第5期630-633,共4页Journal of Harbin University of Commerce：Natural Sciences Edition

摘　　要：根据市场上企业管理的要求,利用二阶聚类分析方法结合SPSS软件对某汽车信贷客户进行分类,又对每种变量进行分析,聚类分析结果表明汽车信贷面对的客户类型分类为年龄在35~45的为优质客户,服务优先级最高;其余的应为企业的一般客户,应该提供该类别客户的长久服务.该分析结果有利于企业更加有效地管理客户,并制定相应的操作策略.According to the requirements of enterprise management on the market, this paper used two step clustering analysis method to classify the customers of a car credit customers and analysis of each variable in SPSS software,the results of cluster analysis showed that the motor credit in the face of customer type two kinds,ranging the ages from 35 to 45 for the quality of our customers, service highest priority;the rest should be the general customers, customers should provide the category of service for a long time.The analysis result was advantageous to the enterprisemanagement clients more efficiently, and make corresponding operation strategy.

关 键 词：客户管理分类 二阶聚类分析 汽车贷款客户 贝叶斯信息准则 自动聚类 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]