摘要
文中主要研究了我国证券业客户忠诚度分类和表现形式,提出了一种证券业客户忠诚度评估的有效方法。依据RFM客户评价方法,结合数据挖掘的一般流程将SQL Server 2005中的数据挖掘技术应用于证券业客户忠诚度模型系统中,并结合某证券公司客户交易数据,对其客户忠诚度进行了准确合理的分类,对其不同忠诚度类型的客户提出相应个性化营销建议,最后通过使用DMX语言在客户端运用数据挖掘产生的分类规则对其客户进行了准确预测。
Studied on classification and expression forms Of customer fidelity in securities industry and proposed an effective method to evaluate customer fidelity in securities industry. Based on RFM customer evaluation method, integrated the normal process of data - mining and applied data- mining technology of SQL Server 2005 to the customer fidelity mndel in security, combining custormers＇ transaction data in a security company, made an accurate and rational classification, and proposed corresponding personalized marketing method for customers with different fidelity. At last it used DMX language in client end to exert classifying rules and predict the class of customers.
出处
《计算机技术与发展》
2010年第2期229-232,共4页
Computer Technology and Development
基金
国家高技术研究发展计划(863)(2007AA04Z116)
国家自然科学基金(70871033)
