US 8,015,055 B2Granted

Computer program for supporting evaluation of a service

AssigneeInternational Business Machines Corporation

InventorsKosato Makita, Fusashi Nakamura, Yuriko Sawatani, Junya Shimizu

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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.

Claims8

Dependent claims

A system for supporting prior evaluation of a service for improving business, comprising:

a bus;
a communications unit connected to the bus;
a computer readable storage device connected to the bus;
a processor unit connected to the bus and to a computer readable memory;
input means, stored in the computer readable storage device for execution by the processor unit via the computer readable memory, for accepting selection of an index comprising a historical record of business trend data useable for indicating a degree of improvement of the business and accepting setting of multiple future scenarios which influence success/failure of improvement of the business, wherein each scenario at least comprises a set of business conditions and a financial situation of the business;
storage means for storing the index and the multiple future scenarios;
calculation means, stored in the computer readable storage device for execution by the processor unit via the computer readable memory, for calculating a first estimate value of the index for occurrence of each scenario of the multiple future scenarios, wherein the first estimate value is determined by processing the historical record of business trend data with a statistical filtering technique to calculate an occurrence probability of each scenario and calculating a second estimate value based on the first estimate value and a first risk to achievement of a first business improvement corresponding to the first estimate value;
wherein the business includes multiple business elements;
and
wherein the statistical filtering technique is performed using low-pass filtering or Kalman filter-based prediction;
and
the calculation means calculates a first vector having the multiple business elements before achievement of the first business improvement as vector components and a second vector having the multiple business elements after achievement of the first business improvement as vector components;
and
the calculation means calculates the first risk to achievement of the first business improvement as a first metric distance between the first vector and the second vector;
and
the calculation means calculates a first reduction amount corresponding to the risk to achievement of the first business improvement from the first metric distance, the first estimate value and a logistic function obtained from the first estimate value;
and
the calculation means calculates the second estimate value by subtracting the first reduction amount from the first estimate value.

15 more elements

A computer program product for supporting advance evaluation of a service for improving a business comprising:

one or more computer-readable, tangible storage device;
computer program instructions stored on at least one of the one or more computer-readable, tangible storage devices to accept selection of an index comprising a historical record of business trend data useable for indicating a degree of improvement of the business and accepting setting of multiple future scenarios which influence success/failure of improvement of the business, wherein each scenario at least comprises a set of business conditions and a financial situation of the business;
computer program instructions stored on at least one of the one or more computer-readable, tangible storage devices to store the index and the multiple future scenarios;
and
computer program instructions stored on at least one of the one or more computer-readable, tangible storage devices to calculate by a calculation means a first estimate value of the index for occurrence of each scenario of the multiple future scenarios, wherein the first estimate value is determined by processing the historical record of business trend data with a statistical filtering technique to calculate an occurrence probability of each scenario;
computer program instructions stored on at least one of the one or more computer-readable, tangible storage devices to calculate by the calculation means a second estimate value based on the first estimate value and a first risk to achievement of a first business improvement corresponding to the first estimate value
wherein the business includes multiple business elements;
and
wherein the statistical filtering technique is performed using low-pass filtering or Kalman filter-based prediction;
and
wherein the calculation means calculates a first vector having the multiple business elements before achievement of the first business improvement as vector components and a second vector having the multiple business elements after achievement of the first business improvement as vector components;
and
wherein the calculation means calculates the first risk to achievement of the first business improvement as a first metric distance between the first vector and the second vector;
and
wherein the calculation means calculates a first reduction amount corresponding to the risk to achievement of the first business improvement from the first metric distance, the first estimate value and a logistic function obtained from the first estimate value;
and
wherein the calculation means calculates the second estimate value by subtracting the first reduction amount from the first estimate value.

14 more elements

A method for supporting advance evaluation of a service for improving business, the method comprising:

a computer accepting selection of an index comprising a historical record of business trend data useable for indicating improvement of the business;
the computer accepting setting of multiple future scenarios which influence the index, wherein each scenario at least comprises a set of business conditions and a financial situation of the business;
the computer storing the index and the multiple future scenarios;
the computer calculating, by a calculation means, a first estimate value of the index for occurrence of each scenario of the multiple future scenarios, wherein the first estimate value is determined by processing the historical record of business trend data with a statistical filtering technique to calculate an occurrence probability of each scenario;
and
the computer calculating, by the calculation means, a second estimate value based on the first estimate value and a first risk to achievement of a first business improvement corresponding to the first estimate value;
wherein the business includes multiple business elements;
and
wherein the statistical filtering technique is performed using low-pass filtering or Kalman filter-based prediction;
and
wherein the calculation means calculates a first vector having the multiple business elements before achievement of the first business improvement as vector components and a second vector having the multiple business elements after achievement of the first business improvement as vector components;
and
wherein the calculation means calculates the first risk to achievement of the first business improvement as a first metric distance between the first vector and the second vector;
and
wherein the calculation means calculates a first reduction amount corresponding to the risk to achievement of the first business improvement from the first metric distance, the first estimate value and a logistic function obtained from the first estimate value;
and
wherein the calculation means calculates the second estimate value by subtracting the first reduction amount from the first estimate value.

14 more elements

Dependencies are inferred from the claim text.

Facts

Application: 11/608,051Filed 7 Dec 2006
Priority: JP 2005-37999628 Dec 2005
Published: US 2007/0150324 A128 Jun 2007
Granted: 6 Sep 2011
Term ends: Not estimatedThe source records don’t support an estimate.

Classification7 codes

G06Q 10/00
Administration
G06Q 10/063
Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling: operations research,…
G06Q 10/0635
Operations research, analysis or management: risk analysis of enterprise or organisation activities
G06Q 10/06375
Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of…:…