基于大数据分析的潜在固移融合用户挖掘研究

Research on Potential Fixed-Mobile Convergence User Mining Based on Big Data Analysis

随着人口红利的消失和公众通信市场的饱和,发展固移融合用户成为当前运营商的一项重要战略。运营商通过融合业务创新,将移动业务与宽带业务进行捆绑,发展融合业务用户,增强用户黏性,提升业务营收。基于移动网络大数据和宽带网络大数据的联合分析,提出了基于模型的潜在固移融合目标用户挖掘方法体系,将该方法体系运用于市场单移转融营销场景中,可更加精准地发掘潜在目标用户,提升融合用户转化率。

With the disappearance of the demographic dividend and the saturation of the public communication market,the development of fixed-mobile converged users has become an important strategy for operators.Through convergent service innovation,op-erators can bundle mobile services with broadband services and develop converged service users,which can enhance user stickiness and increase service revenue.Based on the joint analysis of mobile network big data and broadband network big da-ta,it proposes a model-based method system for mining potential fixed-mobile converged target users,and applies this method system to the market for single mobile contract user transferring to fusion contract precision marketing scenario,which can more accurately explore potential target users and increase the conversion rate of convergence users.