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Research of Data Mining in Customer Relationship Management

机译:客户关系管理中的数据挖掘研究

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摘要

According to the concept of data mining and customer relationship management (CRM), we clarified the connotation of CRM based on data mining first. Further, based on the core ideology of solutions in CRM and typical mining methods of data mining, we constructed the system structure of CRM based on data mining from four aspects that are customer contact, data storage, data mining, and business application. Among them, the data mining plays the core role. Next, combined with the characteristics of CRM and data mining, the realization process and implementation steps of data mining in CRM have been revealed. Later, including but not limited to new customer obtaining, customer subdivision, cross marketing, customer retention, and customers' profitability analysis, we discussed the application direction of data mining in CRM. Finally, we concluded the application value and significance of CRM based on data mining.
机译:根据数据挖掘和客户关系管理(CRM)的概念,我们首先阐明了基于数据挖掘的CRM的内涵。此外,基于CRM解决方案的核心思想和典型的数据挖掘方法,我们从客户联系,数据存储,数据挖掘和业务应用四个方面构建了基于数据挖掘的CRM系统结构。其中,数据挖掘扮演着核心角色。接下来,结合CRM和数据挖掘的特点,揭示了CRM中数据挖掘的实现过程和实现步骤。后来,包括但不限于新客户获取,客户细分,交叉营销,客户保留和客户获利能力分析,我们讨论了数据挖掘在CRM中的应用方向。最后,总结了基于数据挖掘的CRM的应用价值和意义。

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