Research On CRM Customer Subdivision Based On Data Mining In Telecommunication Industry

At present, as the situation of monopolization has broken down, competition among the national telecommunication companies is more and more furious, whereas, the difference of network service is reducing from time to time.As a result, competing rivals will have to surfer the loss due to merely the single price war.Almost all thetelecommunication companies are looking for a good solution to improve their servicequality as well as the competitive ability. These telecommunication companies have toimprove the internal scientific decision-making ability and meanwhile strengthen thejudgment ability urgently to face more severe competition in the market. That's why aneffective Customer Relationship Management (CRM) System is in great demand.Actually, the telecommunication companies have accumulated a mass of digitalizedoperation data. They can search out a lot of valuable information from user data with theaid of data extraction techniques, take custom consumption characteristics for example. Such data can be further interpreted by the marketing department to provide more powerful marketing strategy and also reduce a certain cost. Therefore, a mass of electronic data has laid a technology foundation to build up the Customer Relationship Management System for telecommunication companies.The thesis provides beneficial reference to telecom companies in analyzing customer behavior and advancing CRM level using data mining technology, and shows important meaning in theorical research and engineering practice.