Research On The Optimization Of Data Service Billing System Of Jiamusi Unicom

With the development of network technologies, Jiamusi Unicom data service revenues accounted for the proportion of total revenue is growing, in addition to voice, SMS, traffic and other traditional business, the company actively start mobile TV services and to upgrade mobile terminals and other data services. In order to continuously improve the competitiveness of the market and future market position, the company will further develop data services. Jiamusi China Unicom data services billing system as an IT support system core competitiveness of enterprises, is still unable to meet the growing business needs of the company's data, we can't meet the increasingly complex, changing user experience requirements. Data services billing system for scientific and rational planning and optimization of the company retain customers a solid foundation for improving the competitiveness of the company is extremely important.Through in-depth analysis of Jiamusi Unicom data service billing system status quo, to identify problems and shortcomings in the company's data services billing system to meet the needs of individual users exist on the basis of a set can be personalized customizable more complete data service accounting scheme. Firstly, the user status of Jiamusi China Unicom, the use of K-means clustering algorithm to Jiamusi China Unicom users cluster analysis, clustering results for the high-value users, medium users value and low-value customers. Secondly, the existing data service charging status quo can't meet the needs of individual users and so on, for different types of users proposed optimization scheme based on user value Jiamusi Unicom data service billing system. Finally, in order to guarantee the implementation of accounting data service optimization, to give Jiamusi Unicom data service billing system optimization strategy. The research results not only provide Jiamusi Unicom's billing system a digital business optimization solutions, has important practical significance for the company to increase market competitiveness and enterprise digital communication service billing management and optimization theory also has some academic value.