摘要
简要分析了中国联通在物联网客户运营能力上的挑战与诉求,结合中国联通研究院的大数据分析能力,提出运用能力构建完善标准体系,推动物联网规模应用,实现物联网客户运营大数据化的目标。基于电信行业物联网运营模式的实践经验,描述了如何以大数据能力为基础进行面向运营商的更为精细化的企业客户运营,从技术创新的角度实现客户运营服务的精准化、高效化。以提升客户数据运营的准确性和前瞻性为目的,探索如何利用数据分析能力,构建精准的客户运营支撑体系。最后,讲述了大数据应用于客户运营场景的重要价值和对客户运营未来的展望。
China Unicom’s challenges and appeals in the operation capabilities of IoT customers were briefly analyzed.Combined with the big data analysis capabilities of China Unicom Research Insitute,a complete standard system was built.The scale of IoT applications was promoted and the goal of IoT customer operations big data was realized.Based on the practical experience of the IoT operating model in the telecom industry,how to implement more refined enterprise customer operations for operators based on big data capabilities was described.To achieve the accuracy and efficiency of customer service services from the perspective of technological innovation,how to use data analysis capabilities to build accurate customer support systems was explored.Finally,the important value of big data applied in customer operation scenarios and the prospect of customer operation were described.
作者
张勋
翟春辉
张呈宇
贾捷
龙岳
ZHANG Xun;ZHAI Chunhui;ZHANG Chengyu;JIA Jie;LONG Yue(Research Institute of China United Network Communication Co.,Ltd.,Beijing 100176,China)
出处
《电信科学》
2019年第10期117-129,共13页
Telecommunications Science
关键词
物联网
客户运营
大数据
internet of things
customer operation
big data