Method of and system for analyzing, modeling and valuing elements of a business enterprise
First Claim
1. A computer implemented analysis method for a commercial enterprise, comprising:
- preparing data representative of a commercial enterprise from a plurality of enterprise related systems for use in processing,creating a plurality of computational network models that connect one or more elements of value of said enterprise to one or more aspects of financial performance of said enterprise by transforming at least a portion of said data, said network models being further comprised of;
a plurality of input nodes, a plurality of hidden nodes and one output node with each input node representing an element of value and the output node representing an aspect of financial performance; and
a plurality of relationships between said nodes, each said relationship being directional and being characterized by a degree of influence from one input or hidden node to another;
said degree of influence being dependent upon the impact of the one or more elements of value represented by said input or hidden node and its interrelationship with other elements of value;
accepting one or more user specified scenarios for changes to one or more elements of value, andcompleting an automated analysis of the forecast impact of said scenarios on one or more aspects of financial performance using said network models and output a report that summarizes the results of said analyses.
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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.
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Citations
30 Claims
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1. A computer implemented analysis method for a commercial enterprise, comprising:
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preparing data representative of a commercial enterprise from a plurality of enterprise related systems for use in processing, creating a plurality of computational network models that connect one or more elements of value of said enterprise to one or more aspects of financial performance of said enterprise by transforming at least a portion of said data, said network models being further comprised of; a plurality of input nodes, a plurality of hidden nodes and one output node with each input node representing an element of value and the output node representing an aspect of financial performance; and a plurality of relationships between said nodes, each said relationship being directional and being characterized by a degree of influence from one input or hidden node to another;
said degree of influence being dependent upon the impact of the one or more elements of value represented by said input or hidden node and its interrelationship with other elements of value;accepting one or more user specified scenarios for changes to one or more elements of value, and completing an automated analysis of the forecast impact of said scenarios on one or more aspects of financial performance using said network models and output a report that summarizes the results of said analyses. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A computer readable medium having sequences of instructions tangibly stored therein, which when executed cause the processor in a computer to perform an commercial enterprise analysis method, comprising:
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preparing data representative of a commercial enterprise from a plurality of enterprise related systems for use in processing, creating a plurality of trained computational network models that connect one or more elements of value of said enterprise to one or more aspects of financial performance of said enterprise transforming at least a portion of said data, said network models being further comprised of; a plurality of input nodes, a plurality of hidden nodes one output node with each input node representing an element of value and the output node representing an aspect of financial performance; and a plurality of relationships between said nodes, each said relationship being directional and being characterized by a degree of influence from one node to another;
said degree of influence being dependent upon the impact of the one or more elements of value represented by said node and its interrelationship with other elements of value;accepting one or more user specified scenarios for changes to one or more elements of value, and completing an automated analysis of the forecast impact of said scenarios on one or more aspects of financial performance using said network models and output a report that summarizes the results of said analyses where an aspect of financial performance is revenue, expense, capital change or current operation value. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20)
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21. A commercial enterprise analysis system, comprising:
networked computers each with a processor having circuitry to execute instructions;
a storage device available to each processor with sequences of instructions stored therein, which when executed cause the processors to;integrate, convert and store data representative of a commercial enterprise from a plurality of enterprise related systems in accordance with a common data dictionary for use in processing, create a plurality of trained computational network models that connect one or more elements of value of said enterprise to one or more aspects of financial performance of said enterprise by transforming at least a portion of said data, said network models being further comprised of; a plurality of input nodes, a plurality of hidden nodes and one or more output nodes with each input node representing an element of value and each output node representing an aspect of financial performance; and a plurality of relationships between said nodes, each said relationship being directional and being characterized by a degree of influence from one node to another;
said degree of influence being dependent upon the impact of the element of value represented by said node and its interrelationship with other elements of value;accept one or more user specified scenarios for changes to one or more elements of value, and complete an automated analysis of the forecast impact of said scenarios on one or more aspects of financial performance using said network models and output a report that summarizes the results of said analyses, where an aspect of financial performance is revenue, expense, capital change or current operation value. - View Dependent Claims (22, 23, 24, 25, 26, 27, 28, 29, 30)
Specification