METHOD, SYSTEM AND COMPUTER PROGRAM FOR SUPPORTING EVALUATION OF A SERVICE

Abstract
A method and system for determining a variable compensation amount according to the degree of achievement by avoiding stop at the stage where value brought about to a client by a solution is qualitatively evaluated, avoiding compensation calculation from being performed by accumulation of cost such as labor cost, and quantitatively estimating the effect from the viewpoint of a set KPI in consideration of risk to achievement of the KPI. There is provided a system for supporting advance evaluation of a service for improving business, comprising: input means for accepting selection of an index indicating the degree of improvement of the business and accepting setting of multiple future scenarios which influences success/failure of the improvement of the business; storage means for storing the index and the multiple scenarios; and calculation means for calculating a primary estimate value of the index in the case of occurrence of each scenario and calculating a secondary estimate value based on the primary estimate value and a primary risk corresponding to the primary estimate value.
Description

BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWINGS


FIG. 1 shows an example of configuration of a system;



FIG. 2 is a block diagram of the system in FIG. 1;



FIG. 3 shows an example of configuration of a scenario;



FIG. 4 shows an example of business conditions determination processing;



FIG. 5 shows an example of estimation of the occurrence probability of a client's financial situation;



FIG. 6 shows an example of estimation of a reduction rate considering price fluctuation;



FIG. 7 shows an example of the result of estimation of a tentative reduction amount of procurement cost;



FIG. 8 is a conceptual diagram of consideration of risk to a reduction amount;



FIG. 9 shows an example of interannual improvement of a strategic profile;



FIG. 10 shows an example of interannual of a profile;



FIG. 11 shows an example of relation between a reduction amount and a share rate; and



FIG. 12 shows the entire flow of a method for determining variable compensation based on KPI.


Claims
  • 1. A system for supporting prior evaluation of a service for improving business, comprising: input means for accepting selection of an index indicating a degree of improvement of the business and accepting setting of multiple future scenarios which influence success/failure of improvement of the business;storage means for storing the index and the multiple future scenarios; andcalculation means for calculating a primary estimate value of the index for occurrence of each scenario of the multiple future scenarios and calculating a secondary estimate value based on the primary estimate value and a primary risk corresponding to the primary estimate value.
  • 2. The system according to claim 1, wherein the business includes multiple business elements; andthe calculation means calculates the primary risk as a first metric distance between a first vector having the multiple business elements before improvement as vector components and a second vector having the multiple business elements after improvement as vector components,calculates a first reduction value corresponding to the risk to improvement from the first metric distance, the primary estimate value and a logistic function obtained from the primary estimate value, andcalculates the secondary estimate value by subtracting the first reduction value from the primary estimate value.
  • 3. The system according to claim 1, wherein the service is a service for a second organization improving business of a first organization;the input means accepts setting for future improvement of the ability of the first organization which influences success/failure of improvement of the business;the storage means stores improvement of the ability; andthe calculation means calculates a predicted value of the improvement of the ability in the case of occurrence of each of the scenario, andcalculates a tertiary estimate value based on the secondary estimate value and a secondary risk corresponding to the predicted value.
  • 4. The system according to claim 3, wherein the ability includes multiple ability elements; andthe calculation means calculates the secondary risk as a second metric distance between a third vector having the multiple ability elements before improvement as vector components and a fourth vector having the multiple ability elements after improvement as vector components,calculates a second reduction value corresponding to the risk to improvement from the second metric distance, the predicted value and a logistic function obtained from the predicted value, andcalculates the tertiary estimate value by subtracting the second reduction value from the secondary estimate value.
  • 5. The system according to claim 4, wherein the calculation means calculates a rate of change of the secondary metric distance based on the secondary metric distance and a predetermined evaluation function, andcalculates a share rate of the second organization by multiplying the rate of change of the index by the rate of change of the second metric distance.
  • 6. The system according to claim 5, wherein the calculation means calculates the occurrence probability of each scenario,calculates an expected value of the index from the occurrence probability and the tertiary estimate value, andcalculates compensation for the service to the second organization by multiplying the expected value by the share rate.
  • 7. The system according to claim 6, further comprising output means for outputting the compensation.
  • 8. A computer program, stored in a computer accessible medium, for causing a computer to function as a system for supporting advance evaluation of a service for improving business, the computer program causing the computer to execute: an input function of accepting selection of an index indicating a degree of improvement of the business and accepting setting of multiple future scenarios which influence success/failure of improvement of the business;a storage function of storing the index and the multiple future scenarios; anda calculation function of calculating a primary estimate value of the index for occurrence of each scenario of the multiple future scenarios and calculating a secondary estimate value based on the primary estimate value and a primary risk corresponding to the primary estimate value.
  • 9. A method for supporting advance evaluation of a service for improving business, the method comprising: accepting selection of an index indicating improvement of the business;accepting setting of multiple future scenarios which influence the index;storing the index and the multiple future scenarios;calculating a primary estimate value of the index for occurrence of each scenario of the multiple future scenarios; andcalculating a secondary estimate value based on the primary estimate value and a primary risk corresponding to the primary estimate value.
Priority Claims (1)
Number Date Country Kind
2005-370560 Dec 2005 JP national