论文部分内容阅读
对于电信企业而言,客户的资费敏感水平不仅关系到企业的收入,而且影响到客户的满意度水平,对于客户保有维系至关重要。但在实际工作中,业务人员很难准确把握用户的资费敏感情况。因此,通过经营分析系统进行数据挖掘,找出可以量化的评估客户资费敏感度的数据模型,较为准确地计算出客户的资费敏感水平,从而提供针对性的营销服务,对于促进电信企业进行客户保有维系具有非常重要的意义。
For telecom companies, the customer’s tariff sensitivity is not only related to the company’s revenue, but also affect the level of customer satisfaction, the maintenance of customer retention is essential. However, in practical work, it is difficult for business personnel to accurately grasp the user’s tariff sensitivity. Therefore, data mining through business analysis system to identify the data model can be quantified to assess the sensitivity of customer charges, more accurately calculate the customer’s tariff sensitivity to provide targeted marketing services, to promote telecommunications companies to retain customers Maintaining has a very important meaning.