The Research And Application Of Data Mining In Mobile Phone Distribution Business Management

At present, the development of mobile communications network technology from 2G to 3G have a clear direction. In the next five years, there is still a big room for development of China's mobile phone market. Although the mobile phone market has broad space for development, but the competition in the mobile phone distribution business has been into white-hot stage. In the face of so tremendous pressure of competition, misters of distribution enterprise have to look to the information technology for help.The implementation of information technology is not only to make the controlling of entire business processes convenient, more importantly, through rapid data collection and accurate analysis of data, managers can make decision more rapidly and accurately and can control business processes more effectively and ultimately and can improve the level in management and operation of the enterprise .However, with rapid improvement in the ability of data collecting, explosive growth in the amount of data storage, the traditional data analysis techniques have been gradually not able to meet the requirements of enterprises, new and effective analytical tools are needed.The emergence of data mining meets the needs of enterprises handling enormous data. Because data mining has learned nutrition from various disciplines, it has a strong analytical capacity. It can find prior unknown, valuable rules or models hidden in the various internal and external enterprise data, enable decision-makers at all levels gain useful knowledge on market or business, and help them to make good decision faster and more accurately.First, this paper explained the background, significance and contents of the study. Second, the paper introduced data mining and related technologies. Then, from the mobile phone distribution business perspective, the paper gave an overview of relevant distribution theory and management features and status of enterprise. Finally, this paper paid more attention to the application of data mining in sales management and channel management, discussed the BP neural network algorithms and support vector classification algorithms in detail and its application in sales forecasting and choosing channel members.