A data mining algorithm based on the risk of after-sales service and marketing information for trade enterprises choosing brands
Since the majority of trade enterprises are with computerized management information system (MIS) of sound management and after-sales service to record a massive feedback data of sales and after-sales service, there is an urgent need for a simple, easy data mining method for choosing a suitable brand for the local market in terms of quality and price. Therefore, starting with data analysis, this paper established the mathematical model with applications of probability analysis, assessing the risk of evaluating the feedback data from the market on both marketing and product quality. Using the model, not only trade enterprises can assess the market risk of their operation on the various brands so as to run their own optimized product, but can the manufacturing enterprises make the best of market information and trends to adjust the products and management strategies so as to make the best market prospects for the brand.
product brand market information risk management
Jun-qi YANG Ting HOU
School of Management,Shaanxi University of Science and Technology,Xian,Shaanxi 710021,China School of Foreign Languages and Communications,Shaanxi University of Science and Technology,Xian,Sh
国际会议
2008 International Conference on Risk and Relianility Management(2008风险与可靠性管理国际会议)
北京
英文
277-280
2008-11-10（万方平台首次上网日期，不代表论文的发表时间）