A New Generation Of Financial Decision Support System

Decision Support System (DSS) develops from Management Information System (MIS) in 1970's. Traditional DSS, whose main content is model base system, supports decision by quantitative analysis. Its models have developed from mathematical models to generalized ones that include data processing model, graphic models, knowledge model etc. The essence of DSS is to process data on the basis of databases and model system consisting all kinds of the generalized models that have been well joint with each other and to help to make decisions.In the middle of 90's, data warehouse and OLAP, data mining, new technologies for decision support, had led to a new research dimension for DSS. The comprehensive integrated DSS, which composed of data warehouse and OLAP, data mining, model base and knowledge base system, is a more sophisticated form of DSS. The paper focuses mainly on developing the new generation of financial management DSS (NFDSS) by applying these new technologies.In recent years, the financial management DSS has been attracting great attention in China. It's well known that financial management occupies a very important position in business management. Business decisions are highly related to fund flow. Therefore, the research on developing NFDSS is very significant, which could improve the effects of making financial decisions for managers.With the beginning putting forward the idea and goal of NFDSS, this paper systematically discusses the system structure and function structure of NFDSS on the base of analyzing decision processes of the financial management, and then discusses idiographic design of every subsystem. At the same time the paper give a systemic introduction to the model management system with Neural Network.