A Consumer Segmentation Model Research Based On Data Mining In Telecommunications Business

Owing to intense competence in international telecommunication market and the development of the market itself, traditional domestic business model has gradually become the one based on consumers, data and information.Therefore, consumer segmentation is the prerequisite and foundation. At present, the current segmentation method is simply an experience and statistics based system, which does not facilitate the information interchange between customers and enterprises. As a result, these methods are far behind meeting the requirement of complex business analysis. Along with the depth spread of data mining among telecommunication enterprise management, it is becoming urgent and critical to implement multi-level, multi-latitudes and focused consumer segmentation by adopting various advanced data mining methods.The article articulates data organization, processing and storage in view of telecommunication enterprises consumer segmentation during the course of customer relation management. With the application of data mining techniques, precise and effective consumer segmentation could be achieved through the employment of the introduced theories, technologies and methods.The article elaborates theoretically the strategic importance on the application of consumer segmentation in telecommunication business and its methods through integrating customers' characteristics with customers'life cycle theory. Based on the analysis of current consumer segmentation methods, the author points out the pressing need for applying data mining techniques in consumer segmentation while depicting a detailed picture of how the segmentation functions in each area of the telecommunication market.In practice, cluster analysis is one of the most important researching field, and while more challenging. It has exited a series of problems in cluster analysis, for example it is difficult to detect the figure and size of concentrating data, different density of cluster, sensitivity to noise data, and so on. This article has analyzed particularly and generally in typical K-means arithmetic. According to the characteristics of telecom data, the author points out the disadvantage and improving methods that is data mining model based on K-means arithmetic applies in consumer segmentations of certain company handy phone short-message business, and gets ideal conclusion through examination. Based on this it sets up marketing strategies to different consumer group, and establishes a steady decision-supporting system model. It has directing...