Design And Implementation Of Sales Management System For Smes

In the 21 st century,as information technology delvelops rapidly,the market competition is intense.Only by continuously strengthening the internal management an improving its competition capacity,an enterprise can have a place in the market.Sales management is crucial for enterprises.It can affect the survival and competition capacity of an enterprise.So it is imperative to improve the information construction of enterprise’s sales management.Today,small and medium-sized domestic enterprises have many deficiencies in the information construction.So in order to stabilize the market and strengthen the management,it is necessary for the enterprises to develop a set of suitable sales management system.By doing many researches we use the data mining technology to develop the sales management system, in which data preprocessing was dealt with clustering, sampling and other relevant methods. And we use the Apriori algorithm to deal with the association rules mining frequent phase set. With the data processing and analysis of the association rules, the core data of the enterprise sales management can be got and further analyzed. Therefore, the leadership will get the valuable reference for their decision. And the sales performance and management ability can be improved.This project is focused on adopting JSP technology of JavaEE system, HTML, JQuery,B/S architecture and SQL Sever 2005 database to design and realize the database.The system is mainly composed of access control and sales management.In the realization of the sales management system,data mining techniques is used to analyze the rules of sales management.We mainly analyze the acquiring,cleaning and preparation of the data,improve the Apriori algorithm of association rules and propose an improved algorithm based on partition Apriori.It can avoid the repeated scan of the database and a large number of candidate data produced by the classical algorithm when doing data mining. It can improve the efficiency of the work, which has a great practical significance.