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论数据挖掘与商业银行客户关系管理

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商业银行CRM是商业银行维持客户群体、保障银行收益的基础,金融市场的发展使得商业银行客户群体不断壮大,对银行客户信息进行有意义的利用能够进一步提高商业银行服务质量和收益。数据挖掘技术在客户生命周期不同阶段能起到不同的作用,CRM过程中数据挖掘能够对商业银行各类决策提供技术支持,并构建了基于数据挖掘的CRM系统。
Commercial bank is a commercial bank based CRM to maintain customer groups, security bank earnings, the development of the financial market makes the commercial bank customer groups continue to grow, to the bank customer information for meaningful use can further improve service quality and earnings of commercial banks. Data mining technology in the different stages of the customer life cycle can play different roles in the process of data mining, CRM to commercial banks of various types of decision-making to provide technical support, and the construction of CRM system based on data mining.

Data mininglife cycleCRM systemway

白勇、罗文娟、邓普

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重庆电力高等专科学校

数据挖掘 生命周期 CRM系统 途径

2015

科学时代
海南省科学技术协会

科学时代

ISSN:1005-250X
年,卷(期):2015.(8)
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