Abstract: An automated method, media and system for data unification that transforms disparate data from a plurality of sources into an integrated database. In the integrated database data are stored in at least one table in accordance with a common model or schema and a common metadata standard.

Abstract: An automated system (100) and method for analyzing, modeling and valuing elements of a business enterprise on a specified valuation date. The performance of the elements are analyzed using search algorithms and induction algorithms to determine the value drivers associated with each element. The induction algorithms are also used to create composite variables that relate element performance to enterprise revenue, expenses and changes in capital. Predictive models are then used to determine the correlation between the value drivers and the enterprise revenue, expenses and changes in capital. The correlation percentages for each value driver are then multiplied by capitalized value of future revenue, expenses and changes in capital, the resulting numbers for each value driver associated with each element are then added together to calculate a value for each element.

Abstract: An automated method and system (100) for defining, measuring and continuously monitoring the matrix of value and the matrix of risk for a multi-enterprise commercial organization. A complete matrix of value is developed for each enterprise in the organization using predictive models and vector creation algorithms. The matrices of enterprise value are then used to support the creation of scenarios that contain all enterprise risk factors. A series of scenarios under both normal and extreme conditions are then developed in order to develop a complete matrix of risk for each enterprise in the organization and the organization as a whole. The information from these matrices is then used to calculate and display the matrix of value for the organization, the matrix of risk for the organization and the efficient frontier for organization financial performance.

Abstract: An automated method and system (100) for identifying, measuring and enhancing categories of value for the different levels of a value chain on a continual basis. The categories of value are analyzed at each level in the value chain using predictive models and vector creation algorithms to define the enterprise and element vectors before valuing the organization, each enterprise in the organization and the elements of value in each enterprise. The relative strengths of the intangible elements of value are used in evaluating the real options of each enterprise and in determining the allocation of industry real options to the enterprise and the organization before summary reports are prepared, displayed and optionally printed. The system then generates potential value improvements which the user (20) optionally accepts, rejects or modifies before simulations are completed to analyze the value impact of the enhancements.