Method of and system for defining and measuring the elements of value and real options of a commercial enterprise

• US 20040215495A1
• Filed: 03/13/2002
• Published: 10/28/2004
• Est. Priority Date: 04/16/1999
• Status: Abandoned Application

• Current Assignee: Jeffrey Eder
• Original Assignee: Jeffrey Eder
• Inventors: Eder, Jeff Scott
• Application Number:
  US10/097,344
• Publication Number:
  US 20040215495A1
• Time in Patent Office: Days
• US Class Current: 705/7
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/063 Operations research, analysis or management
• CPC Class Codes: G06Q 10/0639 Performance analysis of employees; Performance analysis of enterprise or organisation operations
• CPC Class Codes: G06Q 30/06 Buying, selling or leasing transactions

Abstract

An automated system (100) and method for defining and measuring elements of value and real options of a commercial enterprise on a specified valuation date. The elements are analyzed using predictive models and vector creation algorithms to determine the value drivers associated with each element. The vector creation algorithms are also used to create vectors 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 combined with the estimated life of the element and the capitalized value of future revenue, expenses and changes in capital, to calculate a value for each element.

Claims

1. A method for valuing elements of value and growth options for an enterprise, comprising:

organizing business data into three components of value, one or more growth options and two or more elements of value at least one of which is intangible;

defining a performance summary of each element of value;

determining the value of each of the elements of value;

determining the discount rate to be used in growth option valuation as a function of the element of value profile of the enterprise and the growth option;

valuing the growth option, and

displaying the enterprise business value, the value of each of the two or more elements of value and the value of the one or more growth options.

2. A computer readable medium having computer executable instructions thereon for causing a computer to perform the method of claim 1.

3. The method of claim 1 wherein the intangible element of value is a relationship.

4. The method of claim 1 wherein the intangible element of value is a brand.

5. The method of claim 1 wherein the method use to determine a contribution of each of two or more elements of value to a component of value further comprises the use of a vector to summarize the performance of the element of value when there is a low level of interaction between the elements of value.

6. The method of claim 1 wherein the method use to determine a contribution of each of two or more elements of value to a component of value further comprises adding together value driver impacts by element to summarize the performance of the element of value when there is a high level of interaction between the elements of value.

7. The method of claim 1 wherein determining the value of each of two or more elements of value to a value of the business further comprises the use of predictive models to determine the contribution of each element to each component of value.

8. The method of claim 1 wherein determining the value of each of two or more elements of value to a value of the business further comprises the use of causal models to determine the contribution of each element to each component of value.

9. The method of claim 1 wherein determining a value for each of two or more elements of value to a value of the business includes:

deriving one or more element of value weighting factors from the information each of two or more elements of value;

calculating the present value of the components of value; and

weighting the information concerning the two or more elements of value according to the element of value weighting factors, with the value equaling the sum of the product of the element of value factors and the present value of each of the components of value.

10. The method of claim 1 wherein determining the value of one or more growth options further comprises the use of a real option algorithm to complete the valuation.

11. A system for valuing elements of value and growth options for an enterprise, comprising:

means for organizing business data into three components of value, one or more growth options and two or more elements of value at least one of which is intangible;

means for defining a performance summary of each element of value;

means for determining the value of each of the elements of value;

means for determining the discount rate to be used in growth option valuation as a function of the element of value profile of the enterprise and the growth option;

valuing the growth option, and

means for displaying the enterprise business value, the value of each of the two or more elements of value and the value of the one or more growth options.

12. The system of claim 11 wherein the means for reporting comprises a paper document or an electronic display.

13. The system of claim 11 wherein the intangible element of value is a relationship.

14. The system of claim 11 wherein the intangible element of value is a brand.

15. The system of claim 11 wherein the method use to determine a contribution of each of two or more elements of value to a component of value further comprises the use of a vector to summarize the performance of the element of value when there is a low level of interaction between the elements of value.

16. The system of claim 11 wherein the method use to determine a contribution of each of two or more elements of value to a component of value further comprises adding together value driver impacts by element to summarize the performance of the element of value when there is a high level of interaction between the elements of value.

17. The system of claim 11 wherein determining the value of each of two or more elements of value to a value of the business further comprises the use of predictive models to determine the contribution of each element to each component of value.

18. The system of claim 11 wherein determining the value of each of two or more elements of value to a value of the business further comprises the use of causal models to determine the contribution of each element to each component of value.

19. The system of claim 11 wherein determining a value for each of two or more elements of value to a value of the business includes:

deriving one or more element of value weighting factors from the information each of two or more elements of value;

calculating the present value of the components of value; and

weighting the information concerning the two or more elements of value according to the element of value weighting factors, with the value equaling the sum of the product of the element of value factors and the present value of each of the components of value.

20. The system of claim 11 wherein determining the value of one or more growth options further comprises the use of a real option algorithm to complete the valuation.

21. A method for creating models of element of value impact on a component of value, comprising:

organizing transaction data into three components of value, one or more growth options and one or more elements of value where each element of value contains one or more items;

deriving item performance indicators for each element of value;

determining the best fit combination of item variables, item performance indicators and predictive model to model element of value impact on a component of value

22. A computer readable medium having computer executable instructions thereon for causing a computer to perform the method of claim 21.

23. The method of claim 21 wherein the element of value is a relationship.

24. The method of claim 21 wherein the element of value is a brand.

25. The method of claim 21 wherein trends are item performance indicators.

26. The method of claim 21 wherein summaries are item performance indicators.

27. The method of claim 21 wherein time lagged values are item performance indicators.

28. The method of claim 21 wherein the best predictive model is selected from a tournament of predictive models.

29. The method of claim 21 wherein determining the best fit combination of item variables, item performance indicators and predictive model further comprises use of a vector creation algorithm to refine the selection.

30. The method of claim 21 wherein the best fit combination of item variables, item performance indicators are refined and summarized into a vector.

31. A system for creating models of element of value impact a component of value, comprising:

means for organizing transaction data into three components of value, one or more growth options and one or more elements of value where each element of value contains one or more items;

means for deriving item performance indicators for each element of value;

means for determining the best fit combination of item variables, item performance indicators and predictive model to model element of value impact on a component of value

32. The system of claim 31 wherein the component of value is revenue.

33. The system of claim 31 wherein the element of value is a relationship.

34. The system of claim 31 wherein the element of value is a brand.

35. The system of claim 31 wherein trends are item performance indicators.

36. The system of claim 31 wherein summaries are item performance indicators.

37. The system of claim 31 wherein time lagged values are item performance indicators.

38. The system of claim 31 wherein the best predictive model is selected from a tournament of predictive models.

39. The system of claim 31 wherein determining the best fit combination of item variables, item performance indicators and predictive model further comprises use of a vector creation algorithm to refine the selection.

40. The system of claim 31 wherein the best fit combination of item variables, item performance indicators are refined and summarized into a vector.

41. The system of claim 31 that further comprises estimating the life of the element of value relative to the Competitive Advantage Period (CAP).