1. An apparatus for use with a fishing line, the apparatus comprising:
a fishing line guide including a quick release attachment plate, said fishing line guide including a pair of guide lines, each of said guide lines having a connector end and a quick release attachment plate end, each of said guide lines having a first section, a second section, and a third section, said first sections diverging from each other from said quick release attachment plate ends toward said second sections, said second sections extending from said first sections at first angles, said third sections extending from said second sections at second angles and terminating at said connector ends, said connector ends being spaced apart from each other and said quick release plate ends being joined both together and to said quick release attachment plate, each of said connector ends including a pair of cantilevered, opposed and spaced-apart connecting arms and a connector fastening stop plate extending transversely to a respective third section, each pair of said connecting arms being commonly connected at said connector fastening stop plate, each of said spaced-apart connecting arms including a protruding element that defines a snap end which protrudes transversely to a respective third section; and
a pair of fishing line guide attachment mounting brackets, each of said pair of mounting brackets including a base and a substantially hollow connection end receptacle, said protruding elements defining said snap ends and said stop plates having lateral dimensions which are larger than each of said hollow connection end receptacles, each respective pair of said connecting arms being releasably attachable to a respective connection end receptacle when said each respective pair of said connecting arms is inserted into said respective connection end receptacle with said respective connection end receptacle being positioned between said snap ends of a respective pair of spaced-apart connecting arms and a respective stop plate.
2. The apparatus for use with a fishing line of claim 1, wherein said quick release surface of said attachment plate is one of a hook or loop material, and wherein said quick release surface of said fishing line quick-release element being the other of said hook or loop material.
3. The apparatus for use with a fishing line of claim 1, wherein said fishing line guide is composed of a polymerized material.
4. The apparatus for use with a fishing line of claim 1, wherein said quick release attachment plate has a quick release surface.
5. The apparatus for use with a fishing line of claim 4, further comprising:
a fishing line quick-release element fittable to the fishing line, the quick-release element being releasably attachable to said quick release attachment plate of said fishing line guide, said fishing line quick-release element including a quick release surface, said quick release surface of said fishing line quick-release element being attachable entirely or at least in part to said quick release surface of said quick release attachment plate of said fishing line guide.
6. The apparatus of claim 1, wherein each of said pair of fishing line guide attachment mounting brackets being attachable to a fishing line guide attachment surface, each of said bases being attachable to said fishing line guide attachment surface.
7. A remote controlled fishing apparatus for use with a fishing line, the apparatus comprising:
a fishing line guide attachable to a remote controlled boat, said fishing line guide including a quick release attachment plate, said quick release attachment plate having a quick release surface, said quick release surface being one of a hook or loop material, said fishing line guide including a pair of guide lines, each of said guide lines having a connector end and a quick release attachment plate end, each of said guide lines having a first section, a second section, and a third section, said first sections diverging from each other from said quick release attachment plate ends toward said second sections, said second sections extending from said first sections at first angles, said third sections extending from said second sections at second angles and terminating at said connector ends, said connector ends being spaced apart from each other and said quick release plate ends being joined both together and to said quick release attachment plate, each of said connector ends including a pair of cantilevered. opposed and spaced-apart connecting arms and a connector fastening stop plate extending transversely to a respective third section, each pair of said connecting arms being commonly connected at said connector fastening stop plate, each of said spaced-apart connecting arms including a protruding element that defines a snap end which protrudes transversely to a respective third section;
a fishing line quick-release element fittable to the fishing line, the quick release element being releasably attachable to said quick release attachment plate of said fishing line guide, said fishing line quick-release element including an attachment surface, said attachment surface being the other of said hook or loop material; and
a pair of fishing line guide attachment mounting brackets, each of said pair of mounting brackets including a base and a substantially hollow hull connection end receptacle, said protruding elements defining said snap ends and said stop plates having lateral dimensions which are larger than each of said hollow hull connection end receptacles, each respective pair of said connecting arms being releasably attachable to a respective connection end receptacle when said each respective pair of said connecting arms is inserted into said respective connection end receptacle with said respective connection end receptacle being positioned between said snap ends of a respective pair of spaced-apart connecting arms and a respective stop plate.
8. The remote controlled fishing apparatus of claim 7, wherein said fishing line quick-release element is attachable entirely or at least in part to said quick release attachment plate of said fishing line guide.
9. The remote controlled fishing apparatus of claim 7, wherein said fishing line guide is composed of a polymerized material.
10. The remote controlled fishing apparatus of claim 7, wherein said fishing line quick-release element is a generally tubular member through which the fishing line is passable, said generally tubular member having an outer side which defines said attachment surface.
11. The remote controlled fishing apparatus of claim 10, wherein said element includes a wall about which a portion of the fishing line is loopable.
12. The remote controlled fishing apparatus of claim 10, further including a pair of spaced apart elements which are fittable to the fishing line and which are disposable on either side of said element.
13. The remote controlled fishing apparatus of claim 7, further comprising a remote controlled boat.
14. The remote controlled fishing apparatus of claim 13, wherein said boat further includes a fishing line guide attachment surface, each of said pair of fishing line guide attachment mounting brackets being attached to said fishing line guide attachment surface, each of said bases being attached to said fishing line guide attachment surface.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
1. A computer-implemented method for estimating the impact of specified changes in the value drivers of an enterprise on a component of value of said enterprise, comprising:
obtaining data related to the value of the business enterprise including a revenue component, an expense component and a capital component;
identifying the causal enterprise value drivers;
determining, for each one of the causal value drivers, a percentage of each component of value attributable to the causal value driver;
defining a probabilistic financial simulation model for a component of value; and
simulating the impact of specified changes in value drivers on the component of value.
2. The computer-implemented method of claim 1 wherein the value drivers identified by predictive models have been determined to be causal value drivers for the component of value by a causal model.
3. The computer-implemented method of claim 1 further comprising optionally sub-dividing the revenue, expense and capital in to sub-components to yield a more detailed analysis.
4. The computer-implemented method of claim 1 wherein determining the percentage of the component of value, attributable to each causal value driver comprises using output from a predictive model to determine the percentage of the component of value attributable to the value driver.
5. The computer-implemented method of claim 1 wherein the value driver comprises one or more item variables and one or more item performance indicators.
6. The computer-implemented method of claim 1 wherein the value driver comprises one or more item variables.
7. The computer-implemented method of claim 1 wherein the value driver comprises one or more item performance indicators.
8. The computer implemented method of claim 1 wherein the probabilistic financial simulation is completed by a Monte Carlo simulation model.
9. A computer readable medium having sequences of instructions stored therein, which when executed cause a processor to perform a method for estimating the impact of specified changes in the value drivers of an enterprise on a component of value of said enterprise, comprising:
obtaining data related to the value of the business enterprise, identifying the causal enterprise value drivers; determining, for each one of the causal value drivers, a percentage of each component of value attributable to the causal value driver;
defining a probabilistic financial simulation model for a component of value; simulating the impact of the specified changes in value drivers on the component of value;
10. The computer readable medium of claim 9 wherein the value drivers identified by predictive models have been determined to be causal value drivers for the component of value by a causal model.
11. The computer readable medium of claim 9 further comprising optionally sub-dividing the revenue, expense and capital in to sub-components to yield a more detailed analysis.
12. The computer readable medium of claim 9 wherein determining the percentage of the component of value, attributable to each causal value driver comprises using output from a predictive model to determine the percentage of the component of value attributable to the value driver.
13. The computer readable medium of claim 9 wherein wherein the value driver comprises one or more item variables and one or more item performance indicators.
14. The computer readable medium of claim 9 wherein wherein the value driver comprises one or more item variables.
15. The computer readable medium of claim 9 wherein wherein the value driver comprises one or more item performance indicators.
16. The computer readable medium of claim 9 wherein the simulation is completed by a Monte Carlo simulation model.
17. A computer system, comprising:
a processor having circuitry to execute instructions;
a means for accepting user specified changes in value drivers;
a storage device coupled to the processor and having sequences of instructions stored therein, which when executed cause the processor to,
obtain data related to a value of a business enterprise,
identify the causal enterprise value drivers;
determine, for each one of the causal value drivers, a percentage of each component of value attributable to the causal value driver;
define a probabilistic financial simulation model for a component of value; and
simulate the impact of the specified changes in value drivers on the component of value.
18. The computer system of claim 17 wherein the value drivers identified by predictive models have been determined to be causal value drivers for the component of value by a causal model.
19. The computer system of claim 17 wherein the revenue, expense and capital components are optionally sub-divided in to sub-components to yield a more detailed analysis.
20. The computer system of claim 17 wherein determining the percentage of the component of value, attributable to each causal value driver comprises using output from a predictive model to determine the percentage of the component of value attributable to the value driver.
21. The computer system of claim 17 wherein wherein the value driver comprises one or more item variables and one or more item performance indicators.
22. The computer system of claim 17 wherein wherein the value driver comprises one or more item variables.
23. The computer system of claim 17 wherein the value driver comprises one or more item performance indicators.
24. The computer system of claim 17 wherein the simulation is completed by a Monte Carlo simulation model.
25. A computer-implemented method for identifying the changes in value drivers of an enterprise that will achieve a pre-defined financial goal for a component of value of said enterprise, comprising:
obtaining data related to the value of the business enterprise including a revenue component, an expense component and a capital component;
identifying the causal enterprise value drivers;
determining, for each one of the causal value drivers, a percentage of each component of value attributable to the causal value driver;
defining a probabilistic financial simulation model for a component of value; and
identifying the changes in value drivers that will achieve the pre-defined financial goal for the component of value.
26. The computer-implemented method of claim 25 wherein the value drivers identified by predictive models have been determined to be causal value drivers for the component of value by a causal model.
27. The computer-implemented method of claim 25 wherein determining the percentage of the component of value, attributable to each causal value driver comprises using output from a predictive model to determine the percentage of the component of value attributable to the value driver.
28. The computer-implemented method of claim 25 wherein the value driver comprises one or more item variables andor one or more item performance indicators.
29. The computer implemented method of claim 25 wherein identifying changes in value drivers that will achieve the pre-defined financial goal further comprises iterating a Monte Carlo simulation model.
30. A computer-implemented method for identifying the proper method for completing element of value valuations as a function of the level of interaction between value drivers by element of value, comprising:
obtaining data related to the value of the business enterprise including a revenue component, an expense component and a capital component;
identifying the causal enterprise value drivers;
determining, for each one of the causal value drivers, the level of interaction by element of value; and
using the method that sums value drivers by element when interaction is low and using composite variables for each element when interaction is high.