摘要
首先基于客户具有的价值认知和企业客户数据的可获取性,在充分理解客户价值和客户资产的概念内涵基础之上,构建客户资产价值指标体系。随后,根据该体系指标的数据特性,引入基于指标区间数信息的聚类算法,由此实现理想的客户分类。最后,结合某销售公司的实例展示该方法的应用价值。
Firstly, on the basis of fully understanding of the customer owned value and the obtainable of the enterprisers customer data, Customer Asset Value system is constructed through synthesizing the connotation of Customer Value and Customer Asset. Secondly, according to the system index's data characteristic, cluster algorithm based on index's interval number information is introduced. Consequently, the classification of customer realizes ideal Finally, the instance of a selling company' customer classification showed the application value of the method.
出处
《价值工程》
2005年第10期30-33,共4页
Value Engineering
基金
国家自然科学基金
项目编号:70171045。
关键词
客户分类
区间数
客户资产价值
customer classificatlon
interval numher
customer asset value