广西电信数据挖掘分析设计与实施

发布时间：2018-01-20 05:14

本文关键词： 数据挖掘分析电信　出处：《北京邮电大学》2010年硕士论文　论文类型：学位论文

【摘要】： 随着电信业务的发展和体制改革地不断深化,国内电信行业内部各大运营商之间的竞争日趋激烈,这一趋势在国内移动通信业内表现的尤为突出。移动通信运营商为了获取更多的客户资源和占有更大的市场份额往往采取“简单”的价格竞争和“此起彼伏”的广告宣传战,其弊端显而易见。这就要求运营商要采取以客户为中心的策略,根据客户的实际需求提供多样化、层次化、个性化的服务解决方案。因此,客户关系管理(CRM)成了电信运营商增加收入和利润,提高客户满意度、忠诚度的有效工具。在客户关系管理的流程中,为了准确、及时地进行经营决策,必须充分获取并利用相关的数据信息对决策过程进行辅助支持。近几年迅速发展起来的数据挖掘技术就是实现这一目标的重要手段。本文对广西电信目前数据挖掘技术的应用设计与实施进行了详细的分析和阐述。首先,本文介绍了数据挖掘技术的电信背景,阐明了数据挖掘技术在电信行业应用的趋势和必要性。其次,本文介绍了数据挖掘的理论依据,介绍数据挖掘的概念、主要功能和方法以及实施步骤和部署策略。然后,结合实际工作,本文介绍了数据挖掘技术的电信行业应用,包括营销响应、客户流失、客户细分、客户满意度等领域应用分析。最后,本文给出了数据挖掘技术应用的经验谈和电信行业应用未来的展望。
[Abstract]:With the development of telecommunication business and the deepening of the system reform, the competition among the major operators in the domestic telecommunications industry is becoming increasingly fierce. This trend is particularly prominent in the domestic mobile communication industry. In order to obtain more customer resources and share a larger market share, mobile operators often adopt "simple" price competition and "one after another" The advertising campaign. Its disadvantages are obvious. This requires operators to adopt a customer-centric strategy, according to the actual needs of customers to provide diversified, hierarchical, personalized service solutions. CRM (customer relationship Management) has become an effective tool for telecom operators to increase revenue and profits, improve customer satisfaction, loyalty. In the process of customer relationship management, in order to accurately, timely business decisions. It is necessary to obtain and make use of the relevant data information to support the decision-making process. The rapid development of data mining technology in recent years is an important means to achieve this goal. In this paper, the application design and implementation of current data mining technology of Guangxi Telecom are analyzed and expounded in detail. Firstly, this paper introduces the telecommunication background of data mining technology, and expounds the trend and necessity of the application of data mining technology in telecommunication industry. Secondly, this paper introduces the theoretical basis of data mining, introduces the concept, main functions and methods, implementation steps and deployment strategies of data mining. Then, combined with the actual work, this paper introduces the application of data mining technology in telecom industry, including marketing response, customer churn, customer segmentation, customer satisfaction and other areas of application analysis. Finally, this paper gives the experience of the application of data mining technology and the future of telecom industry.
【学位授予单位】：北京邮电大学
【学位级别】：硕士
【学位授予年份】：2010
【分类号】：TP311.13

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