基于盈利能力的智能化客户细分

在竞争激烈的商务环境下,企业保持竞争优势的关键因素是识别最有盈利能力的顾客。文章构建了一个多智能代理的系统,以满意度调查为基础的盈利能力顾客细分,应用商业智能工具DEA数据包络分析方法,SOM自组织映射神经网络和C4.5判定树来按顾客的盈利能力进行细分,并且给出了应用实例的分析以及相应的营销战略。

Intelligent Profitable Customers Segmentation System

Under the more-intensive competition among the business, the enterprise keeps the key factor of the competitive advantage is to identify the most profitable customers. In this article, it presents a multi-agent system, called the survey-based profitable customers segmentation system that executes the customer satisfaction survey and conducts the mining of customer satisfaction survey, socio-demographic and accounting database through the integrated uses of business intelligence tools , DEA (Data Envelopment Analysis), Self-Organizing Map (SOM) neural network and C4.5 for the profitable customers segmentation. In the end, it gives a case study illustrated and how to make the proper marketing strategy to maximize the value of the business.