Customer Value Analysis On Rough Set-based Data Mining Techniques

Customer has already become a kind of decisive strength of the enterprise development. Plilip Kotler has pointed out specially that customer-centered companies not only need to manage the products, but also need to manage the customer. Any enterprise that wants to succeed must regard customer's demand as the starting point of management and regard meeting the market or the customer's demands as the home. Meanwhile it also must regard the trust and loyalty to the enterprise of customer as the most important assets of the enterprise under the realistic market condition. The domestic and international theory and practice have all already proved that the loyal customer can bring steady and rich profit for the enterprise. If it has loyal customer group, an enterprise can get steady profit sources and competitive advantage, and has control power to the market. The longer a customer keeps loyal, the more interests the enterprise obtains from him.At first the enterprise must make it clear that different customers have different value to the enterprise at the time of training the customer to be loyal. The enterprise should promote the sale of products to the customer who brings maximum profits to the enterprise. On the basis of the customer difference and the restrictions of the enterprise ability, any enterprise can't service all customers in markets. For competing with the ubiquitous competitor, the company should confirm it's most effective subdivide market which it can service and pay close attention to those customers and improve their loyalty degree. In order to obtain the customers loyalty, the enterprise must offer excellent value to the customer. Only the value could urge the customer to be loyal and to buy more and frequently so that the enterprise profit will increase.Based on the thought above and drawing lessons from western management science studies, this paper discusses the theory and method of customer value analysis. The method of DM technology basing on rough sets was being used when customers were classified.Though the early methods for customer classification, being mainly empirical and statistical, have been broadly employed and returned satisfactory...