Design And Implementation Of Customer Retention System Based On Data Mining

With the popularity of mobile communication in our country, Growing mobile terminal to a great extent, Network data to all areas of society. How to use data assets management and operation, realize the transformation of development and industry innovation path of mobile communication industry become a new research topic.Mobile communication is a big customer of communication enterprises, large amount of data and high data timeliness of the industry. Communication industry has more rich user data: users details, user Internet access log, location information, access to records, terminals, etc., with the increasing competition in the field of communication, operator faces competition from traditional rivals, while facing the timely communication software such as weibo.OTT enterprise’s competition, the traditional operator stock customer churn and "pipelining risk;" Face the problem of developing increasingly severe, telecommunication operators has realized that must through the data mining technology, large data advantage will be huge for each customer group, in accordance with the different customer characteristics such as customer value preferences(ARPU), product demand, business, service needs to be multidimensional understand customer information, and establish the evaluation data analysis platform, So as to effectively improve the competitiveness of the customer relationship, enhance the level of service and product precision marketing, and improve enterprise’s competitive power.From the basic theory of data mining are discussed in this paper, based on the theoretical analysis of the data mining technology and the basic concepts and architecture, and based on the theory of logic function, the research of data mining technology in the mobile client management system, the application of data mining in customer management system structure and data mining algorithms are discussed, in this paper, the various data mining methods, studied and discussed emphatically the telecom industry commonly used the decision tree, ID3, AHP method such as hierarchical ordering. Combined with the mobile active marketing and AHP hierarchical ordering the combination of data mining method and method of demonstration analysis.Count according to the data mining theory and AHP hierarchical ordering of data mining algorithm, combined with the chengdu mobile companies voluntarily the need of marketing system, based on data mining in data warehouse management system design, and on the basis of the existing CRM customer management system, combined with AHP hierarchical ordering was designed and implemented with intelligent data mining active marketing management system.Finally, in chengdu, based on the customer analysis model based on mobile marketing service management system actively, can not only meet the needs of the daily business data processing, but also can make use of data mining technology to realize precise target customers, implement the data collection, summary and analysis; Combined with a marketing campaign, finally realizes the precise marketing. Advising clients to label analysis module, user data to extract a piece, marketing execution module, the system implemented by the data analysis, extraction, implement the marketing activities of a complete marketing system.