数据挖掘技术在证券客户关系中的应用

发布时间：2018-10-29 19:37

【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。
[Abstract]:To study the security management problem, the customer relationship management system (CRM) is a scientific problem combining modern management science with modern information technology. Data mining technology is an important means to make effective use of existing data resources. The emphasis is on the specific problems of data mining technology in securities customer relationship management. The customer transaction behavior data warehouse is established by using data warehouse technology, and the customer segmentation of securities company based on the data warehouse of customer trading behavior of securities company is accomplished by clustering technology. CRM based on data mining is an innovation of traditional enterprise management, which fully embodies the scientific and artistic nature of management. It plays an important role in business decision and customer relationship management.
【作者单位】：苏州市职业大学;
【分类号】：TP311.13

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