摘要
研究证券管理问题,客户关系管理系统(CRM)是现代经营管理科学与现代信息技术结合的科学问题。数据挖掘技术是有效地利用现有数据资源的重要手段。重点是针对数据挖掘技术在证券客户关系管理中的具体问题。运用数据仓库技术建立了客户交易行为数据仓库,并运用聚类技术完成了基于证券公司客户交易行为数据仓库的证券公司客户细分。基于数据挖掘的CRM是对传统企业管理思想的一个创新,充分体现了管理的科学性和艺术性。对企业的经营决策和客户关系管理都具有相当重要的作用和意义。
Customer relationship management (CRM) system is the application of information technology in modern business management. Data mining technology is an important means for effectively using existing data resources. This article emphatically is discusses concrete application of data mining technology in security customer relation management. It constructs a customer transaction data warehouse using data warehouses kill, and based on the cus- tomer transaction data warehouse in security company, it clusters the customer segmentation using data mining skill. This research is of great significance to enterprise's operating decisions and the customer relation management.
出处
《计算机仿真》
CSCD
北大核心
2009年第12期270-273,共4页
Computer Simulation
关键词
数据挖掘
数据仓库
客户关系管理
证券公司
Data mining
Data warehouse
Customer relationship management (CRM)
Security company