The Application Of Data-Mining In Tele-Communication Business

Because the competition market is becoming fiercer and fiercer, enterprises can't ensure the profits made in investment, the development of enterprises is faced grim challenges. How to get out of an extensive marketing model? What's the turning point? The turning point is the shift from an extensive model to an intensive one. Only when they make rapid progress in their management, can they march faster and more steadily. When the buyers' market becomes more and more obvious, the number of channels of information which customers can get access to grows and transferred cost decrease, we should not only provide products, quality products, but also differentiated service for different target customers and customers of different values. In the past, after products were produced, efforts would be made to promote them. While at present, customers' demands should be predicted before satisfying service is provided to customers to meet their demands. Products will get out of date one day, however, customers' demands always exist. The starting point of marketing is customers' demands, and its terminal is their satisfaction. Customers are the center of marketing so the whole marketing procedure goes around them. To predicate customers' demands, one should get familiar with his customers and understand their characteristics.This thesis tries to analyze the application of data-mining in tele-com operation under the guidance of the knowledge of data-mining and the case of mobile brands integration conducted by me. The aim of the thesis is to make tentative proposals for future efforts. Data-mining technology will be widely used in marketing activities of enterprises. It is based on the subdividing theory of marketing with a fundamental hypothesis that "Customers'past behaviour is the best indication of their future tendency of consumption." The interest, consumption habits, consumption tendency and consumption demands of an individual consumer or a group of consumers should be learnt after a large amount of information of consumption behavior is collected and process and before their next consumption behavior is inferred. According to the conclusion, specified marketing activities of special contents will be conducted towards the identified consumption group. Hence, this method reduces marketing cost to a great deal, improves marketing effects and enhances core competitive abilities, thus brings more profits to enterprises. Therefore, it is practical.