The Financial Investment Industry Knowledge System Analysis And Design

With China's access to the WTO, The financial businesses in China is gradually integrated into the international market and facing competition directly. The new business models and severe marketing environment force the firms adopt new patterns of management. As the financial industry has random and disorderly features, just having information itself is not enough for a firm. Knowledge management system is a complicated systems engineering, requiring the combination of human and technology. It involves a wide range of things, such as the establishment of knowledge base, redesign of organizing structure, operation of knowledge products etc. .The article gives an anatomy of the establishment, storage and service of the knowledge base in the financial industry. The discussed aspects are as follow:Firstly, the article brings forward designs of storage mode of non-structural text messagings, adding 5 attribute fields. Therefore, when seeking something you want, there is no need to search a 11 the content, it is enough just to deal with the 5 content attribute fields. The method can improve the index accuracy and also the efficiency. In the price-trend analysis which applies the structural and historical data, the article introduces the Fibonacci Numbers and creates price-trend projection algorithm. System users can adopt the algorithm to make price-trend forecasts. The method proves highly effective. For the extension of trend algorithm, the article designs an extensive platform of algorithm formula. The platform supports 14 kinds operations I ike addition, subtraction. Moreover, it provides 63 kinds of functions necessary for security investment.With the platform' s help, users can turn their experience and wisdom into the price-forecast algorithm and extensive forecast algorithm. The knowledge management system designed in the article can be applied into such industries as futures, FX and security investment. For the investors, it would help them improve their decision-making, and for the firms, it can boost their knowledge management ability and core competence.