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数据挖掘的有效应用,能够在数据中识别出有效的、新颖的、潜在有用的数据,便于人们应用。相对于传统的数据库查询来说,其更加有效,可以在诸多领域之中发挥作用,物流领域就是其中之一。在物流企业客户关系管理之中,有效应用数据挖掘技术,可以对客户相关的数据进行深层次的挖掘,进而获得重要数据信息,优化调整客户关系管理方案,有效实施客户关系管理,拉近企业与客户之间的关系,开展有针对性的生产经营活动,创造较高的经济效益,促进物流企业持续健康的发展。基于此,本文将分别分析数据挖掘和客户关系管理,进而探究数据挖掘在物流企业客户关系管理中的应用。
The effective application of data mining can identify effective, novel and potentially useful data in the data and make it easy for people to apply. Compared to the traditional database query, it is more effective, can play a role in many fields, the logistics field is one of them. In the logistics enterprise customer relationship management, the effective application of data mining technology, customer-related data can be deep mining, and then access to important data and information, optimize and adjust customer relationship management programs, the effective implementation of customer relationship management, business and closer Customer relationships, carry out targeted production and business activities, to create higher economic benefits, and promote the sustainable and healthy development of logistics enterprises. Based on this, this article will analyze data mining and customer relationship management separately, and then explore the application of data mining in the logistics enterprise customer relationship management.