基于数据挖掘的电信宽带发展针对性营销系统的设计与实现
[Abstract]:In modern life, telecom broadband has become an extremely important part. Since the country opened up the telecommunications broadband market, the competition of market share among telecom operators has become more and more fierce. In order to gain more initiative in the broadband market, telecom operators have been continuously increasing their marketing efforts over the years, enriching their own marketing measures and giving consumers greater incentives. But at the same time, we should realize the development model of customer data center and establish the model of broadband targeted marketing system. The development of big data's mining technology now provides the technical support for it. At present, the method of customer segmentation of China Telecom is mainly based on experience or simple statistics, there is no real connection between customers and enterprises, which can not meet the needs of the development of broadband services. From the point of view of the market environment and the development of telecom operators, this paper points out that there are still many problems in the management of customer relations. From the angle of data mining theory, the target marketing system of telecom broadband customer is analyzed in detail. This paper first explains the significance and application of data mining technology in modern society, discusses the importance of customer segmentation in telecommunication industry, designs a new model of customer segmentation, and proposes an optimization scheme for decision tree algorithm. The requirement analysis of broadband customer precision marketing system is completed. Based on the optimized decision tree scheme, the customer data of Jiangsu Telecom is mined on the mining tool software to realize customer group segmentation. According to the characteristics of customer group, a targeted broadband marketing scheme is designed to improve customer trust. The research results show that the design and function module of the marketing system are analyzed in detail, and the validity and practicability of the system are verified by comparing the telecom broadband customer data before and after the realization of the system. In order to improve the market share of enterprises has a certain practical significance.
【学位授予单位】:南京邮电大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:TP311.13;TP311.52
【参考文献】
相关期刊论文 前10条
1 陈红梅;;市场营销观念的演变历程探析[J];技术与市场;2008年11期
2 赵懿敏;;精细化营销与客户分群[J];电信技术;2007年10期
3 鲁为;王枞;;决策树算法的优化与比较[J];计算机工程;2007年16期
4 陈重;;电信运营企业开展精细化营销的研究[J];通信管理与技术;2006年01期
5 陈琦;刘蓉;朱云峰;王佩君;;数据挖掘过程的标准模型展望[J];术语标准化与信息技术;2005年04期
6 庞晓静;胡春;;市场营销向竞合演进[J];中国电信业;2005年11期
7 张国方,金国栋;客户细分理论及应用策略研究[J];华中科技大学学报(社会科学版);2003年03期
8 陈明亮;客户生命周期模式研究[J];浙江大学学报(人文社会科学版);2002年06期
9 陈明亮,李怀祖;客户价值细分与保持策略研究[J];成组技术与生产现代化;2001年04期
10 赵宏波 ,孟雅玲;数据挖掘在电信客户关系管理中的应用[J];电信技术;2001年12期
相关博士学位论文 前1条
1 邹文英;论电信产业的有效竞争[D];厦门大学;2006年
相关硕士学位论文 前3条
1 杜金刚;数据挖掘在电信客户关系管理及数据业务营销中的应用[D];北京邮电大学;2010年
2 赵爱琴;数据挖掘在电信行业精确营销中的研究与应用[D];西南财经大学;2009年
3 刘辉;基于客户终身价值和忠诚度的移动通信业客户细分模型研究[D];合肥工业大学;2008年
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