The Application Of Data Mining Technology In Telecom Customer Churn Alarm

With the development of telecom market accelerating, competition among telecommunication operation companies became more severe. The emphases of the customers relations management is turned from the basic function of the business-accepted, the business, the suit and so on to the control which the customer churns. According to investigates, the cost which the enterprise spends in attracting a new customer is about five to ten times than in maintaining an existing customer. Therefore, the telecommunication operation companies are urgent to figure out how to maintain the existing customer. In order to do it, the telecommunication operation companies need to predict the possibility of the customer-churn before customers give up their services. So some corresponding market strategy may be taken In order to meet the need of the telecommunication operation companies.The purpose of this paper is to study the realization of data mining technology, and apply the technology to analysis of customer churn and alarm in telecommunications industry, so as to establish a more accurate model of the telecommunication customer churn. And provide target customers groups according to the alarm model. Set aside enough time to develop viable retention programmes to retain customers for the marketing staff, reduce business losses caused by the customer churn.