大数据技术在通信运营商异网获客系统的应用

Application of Big Data Technology in Different Network Customer Acquisition System of Telecom Operators

电信运营商拥有着庞大的客户群体、海量的数据资源,如何挖掘大数据价值,精准把握客户需求,将成为运营商保持行业领先的关键。为吸引更多优质异网用户在携号转网过程中携入,本次研究通过大数据技术,借助DPI[1,2]解析信息构建异网号码池,运用逻辑回归、决策树、boosting算法[3]等原理搭建转网倾向评估模型,最后通过客户画像、异网策反目标用户分群[4],并配置针对性营销策略,构建起一个较为完善的"异网获客系统",提升运营商在携号转网过程中的客户经营服务能力。

Telecom operators have a huge customer base and massive data resources.How to extract the value of big data and grasp the real needs of customers will become the key for operators to maintain the leading position.In order to better attract more high-quality users from different networks,this study establishes the different network number pool by DPI analytic information,and uses logic regression,decision tree,boosting algorithm to build the transfer tendency evaluation model.Finally,with customer portrait,we will output the differentiation of target users in different networks,and configure targeted marketing strategies,so as to build a relatively complete system of"different network customers acquisition"and improve the customer service capability.