  Today in every organization financial analysis provides the basis for
understanding and evaluating the results of business operations and delivering
how well a business is doing. This means that the organizations can control the
operational activities primarily related to corporate finance. One way that
doing this is by analysis of bankruptcy prediction. This paper develops an
ontological model from financial information of an organization by analyzing
the Semantics of the financial statement of a business. One of the best
bankruptcy prediction models is Altman Z-score model. Altman Z-score method
uses financial rations to predict bankruptcy. From the financial ontological
model the relation between financial data is discovered by using data mining
algorithm. By combining financial domain ontological model with association
rule mining algorithm and Zscore model a new business intelligence model is
developed to predict the bankruptcy.
