Data Mining In Analysis CRM Applied Research

Analytical CRM aims at increasing system's commercial analysis and aid decision ability. To realize the purport of Analytical CRM, an advanced data analytical method is needed to draw out useful information from a large number of trade data. The application research of analytical customer relationship management system based on data mining method can help enterprises solve the bottleneck of expanding profits to increase.This work includes major:Through the research of the development of data mining system and the tendency of combination data mining system with application domain, a multi-layer data mining architecture characterized by customization and flexibility is designed. This mining architecture is applied in Analytical CRM.Simultaneously acts according to the current enterprise more and more many applications electronic commerce gateway stand to carry on the product propaganda, on-line marketing and user communication, but the Website data also day by day becomes the analysis CRM data the main origin, how analyzes the useful customer knowledge from these special data, this article at design analysis CRM system overhead construction time, introduces the Web service data to excavate this function, simultaneously has carried on the discussion to the Web data analysis service flow.In this paper, two kinds of data mining technology of the mining method have been conducted in-depth analysis. Boolean association rules mining algorithm will be the most successful one algorithm: Apriori algorithm introduced to the cross-selling application, so as to enhance the performance of the utility of the system. SPRINT classification algorithm will be introduced to the customer classification algorithm, enhanced by the ability to handle large amounts of data. Thereby increasing the accuracy of the classification, an increase of the credibility of the decision-making related to CRM. On this basis, this paper studies the data according to specific cases, Retail association rules in one specific application of the product analysis algorithm to other specific application SPRINT Customer classification analysis.