1. A method for financial management, comprising: preparing data from a plurality of organization related systems for use in processing, using a computer to calculate a value of each of two or more segments of an organization value and develop a model of a contribution of one or more elements of value and one or more external factors to the value of each of the two or more segments of an organization value by learning from said data where learning from the data comprises identifying one or more performance indicators for each element of value and each external factor, determining the value contribution of each element of value and each external factor to the organization value using said segment of value models and the calculated value of each segment of value, obtaining a plurality of event risk information for the organization, analyzing said performance indicators and said event risk information as required to develop two or more scenarios for a future organization financial performance, and quantifying a plurality of risks by element of value, external factor and segment of value by simulating organization value under each scenario using the segment of value models, and displaying said value contributions and risks in a paper document or an electronic display where the quantified risks each consist of an expected reduction in value, and where the segment of value models comprise two or more causal predictive models that each rely on a set of transformed data to summarize the impact of each of the one or more elements of value and one or more external factors on the segments of value that are selected from the group consisting of current operation segment of value, derivative segment of value, market sentiment segment of value, excess financial asset segment of value and real option segment of value and combinations thereof.