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Time to implement data mining in insurance firms foreffective CRM and CRM analytics

机译:在保险公司实施数据挖掘以进行有效的CRM和CRM分析的时间

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摘要

Organisations that arc having a strong customer base are often lacing the difficulties of managing customer's data. The insurance sector firms are primarily dependent on customer's base they had created. The growing demand of security of life in current worldly atmosphere is increasing. This is due to increased stress in every common man life. This has resulted in growing demand of insurance in every common man life. The stiff competition in insurance sector needs better focus on customers and their demands which is possible through improved products and better service to customers. The effective management of customer's data to gain insight of it and retrieving useful information from it is the need of any insurance organisation in today's scenario. We authors through this paper highlighted the importance and significance of data mining techniques and tools in managing customer relationship management (CRM) and CRM analytics in insurance organisation.
机译:具有强大客户基础的组织通常会在管理客户数据方面遇到困难。保险公司主要依赖于他们所建立的客户基础。在当前的世俗气氛中,对生命安全的需求日益增长。这是由于每个普通人生活中压力的增加。这导致在每个普通人的生活中对保险的需求不断增长。保险业的激烈竞争需要更好地关注客户及其需求,这可以通过改进产品和更好地为客户提供服务来实现。在当今的情况下,任何保险机构都需要对客户数据进行有效的管理,以获取对数据的了解并从中检索有用的信息。我们的作者通过本文强调了数据挖掘技术和工具在保险组织中管理客户关系管理(CRM)和CRM分析中的重要性和重要性。

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