Web-based Business Intelligence Decision Support System

With the constant development of web technical, many enterprises are in the situation of information explosion. But when facing to some exact business problems , they could not always make out the effective decisions . Because there is an unsolved problem between the information explosion and information island. Plus all the sub systems in enterprise ,such as ERP and CRM had already accumulated a large number of information after application for such a long time. But as a result of shorting of intelligent analysis, these information hasn't been used in business decision-making. Also with the development of information technical, the competitions between enterprises are much stronger than ever before. How to use the information suitably from web and interior to make out suitable decisions are much concerned by all the enterprises. Nowadays decision-making is based on the distilling and analyzing of information ,so the possession of Business Intelligence Decision Support System based on Web correspond to the enterprise is the precondition and necessary qualification to win in the competition. Business Intelligence Decision Support System based on Web is coming into being at the very time. It combines Web Mining, Artificial Intelligence, Agent , Decision Support System, Data Warehouse and Data Mining then letting the business decision-making more integrated, intelligent, harmonized. Decision maker in enterprise could use the system to analyze or make final decision.This thesis does deep research about the Business Intelligence Decision Support System based on Web . First , the foundations of the thesis is explained and analyzed , such as Business Intelligence ,Decision Support System ,Web Mining, Intelligence Agent. The second part is the whole explanation of the configuration and the sub system of the whole system , including data source system, data integration system, service providing system, web system and integration system. Web system is the emphasized researching part which is also named as the group of web mining Agent consisted by many web mining Agent .It is in charge of mining web data . The whole frame is introduced then. The application process of the system by the model of monopoly-competition is the emphases which is the reducing of the price decision made by the system . Third, security problem and develop trend are discussed. The last part is summing-up and prospect of the thesis.The innovation parts in the thesis are the design of web mim'ng agent and the web mining agent group based on the theory about Web Mining, Intelligent Agent, MM and the general module of the whole system and using the system to decide whether to reduce the price .