The implement of ROFD model: Logical modeling for financial risk data

Tata modeling has great significance in software development. To know the quality of data modeling, we need to begin with the data model which is the product of the data modeling. Our analysis shows that there are deficiencies in current financial data model. Today´s business dada model only shows the assets amount the enterprise holds and the proprietorship of the stockholders, this framework had built on the traditional accounting system which is regarded as golden rule in the commerce. And it could not show the risks of enterprises´ operating. With this problem in mind we have established a new data model in concept level to reconstruct the conceptual schema of business database aimed at forecasting and disclosing future information of enterprise´s operating. We added a special information, namely risk information, into the present data model, thus we built up a novel data model we call it “risk-oriented financial data model” (ROFD). This paper gives out the implement of the ROFD model. In this part of work we firstly presents the new ROFD model structure; secondly we identify the risk category and its relationships with others; thirdly introduce the temporal analysis method in our modeling and finally we illustrate the implement of usage of the ROFD model from accounting view. The risk-oriented financial conceptual data model has an advantage of providing the information about the risk of an enterprise to the users.