JP2019096034A - Device and method for evaluating business value - Google Patents

Abstract

To support the evaluation of a business value by presenting the influence of the change of one of the parameters on the other parameters, the parameters being in a hierarchical subordinate relation and being related to the business value and the parameter being in the middle of the hierarchy.SOLUTION: The business value evaluation device extracts a parameter of the parameters having influence on a changing target parameter that is not determined uniquely from the changing target parameter, with reference to a parameter information table, and displays the parameter on a screen so that the parameter is highlighted. When a user inputs a limitation condition of a parameter into an input device, the value of the parameter which is not uniquely determined from the changing target parameter is calculated according to the input limitation condition.SELECTED DRAWING: Figure 9

Description

  The present invention relates to a business value evaluation device and a business value evaluation method, and in particular, a business value evaluation device suitable for supporting evaluation of business value by visualizing the influence of parameters when evaluating business value. And business value evaluation methods.

  In corporate management, assessing business value is a critical issue for business strategy. When evaluating such business value, it has become common to use a computer.

  In the business performance evaluation apparatus described in Patent Document 1, it is necessary to clearly separate the determination of the income and expenditure structure and the input of the preconditions, and to visualize changes in management indicators when the preconditions are interactively changed. And the value of the evaluation item is created in time series based on the calculation process, and the value of the evaluation item created in time series is displayed. Then, accepting that the user re-inputs the precondition, re-creates the evaluation item value in time series based on the re-input precondition and calculation process, and displays the re-created evaluation item value in time series It is like that.

JP, 2015-32023, A

  In the evaluation of the business value of Patent Document 1 of the prior art described above, visualization of the influence on the evaluation items when changing the preconditions helps to determine the value of the preconditions.

  According to this conventional technology, among the parameters related to the business value, it is possible to visualize the influence on the evaluation item at the time of changing the parameter which is not influenced by the other parameters.

  However, it is not considered to change the parameters existing in the middle of the hierarchy among the hierarchically dependent parameters, and when trial and error are to be performed in various scenarios as when new business is examined It may be insufficient.

  The object of the present invention is to allow the user to understand the influence on the other parameters when changing the parameter existing in the middle of the hierarchy among the parameters related to the business value, such as hierarchical dependency relation. An object of the present invention is to provide a business value evaluation device that presents in an easy-to-use manner and supports evaluation of business value.

  The configuration of the business value evaluation device of the present invention is preferably a business value evaluation device that calculates the relationship between parameters related to business value, and holds a parameter information table that stores the relationship between parameters and parameter values. And means for inputting parameter constraint conditions, means for setting target parameters whose values are to be changed as change target parameters, and referring to the parameter information table, among the parameters affecting change target parameters, change target parameters When parameter constraints are input by means for extracting parameters whose values can not be determined uniquely and means for inputting parameter constraints, values are uniquely determined from the change target parameters according to the entered constraints. And means for calculating the value of no parameter.

  According to the present invention, among the parameters related to the business value, such as hierarchical dependencies, when the parameter existing in the middle of the hierarchy is changed, the user recognizes the influence on the other parameters. It is possible to provide a business value evaluation device that presents in an easy-to-use manner and supports evaluation of business value.

It is a block diagram showing the functional composition of business value evaluation system. It is a block diagram showing the software hardware constitutions of business value evaluation system. It is a figure which shows the data flow which shows the business model used by description of a business value evaluation apparatus, and the relationship of a stakeholder (stakeholder). It is a figure which shows an example of the parameter information table which a business value evaluation apparatus refers. It is a figure which shows an example of a parameter relationship display screen. It is a figure which shows an example of a conversion object parameter setting screen. FIG. 7 is a diagram showing an example of a parameter constraint setting screen of the first embodiment. It is a figure showing an example of a sensitivity analysis result screen. It is a flowchart which shows an example of the parameter value calculation process of the business value evaluation apparatus of Embodiment 1. FIG. It is a figure which shows an example of a conversion object parameter / analysis parameter setting screen. FIG. 18 is a diagram showing an example of a parameter constraint setting screen of the second embodiment. It is a flowchart which shows an example of the parameter value calculation process of the business value evaluation apparatus of Embodiment 2. FIG.

  Hereinafter, each embodiment according to the present invention will be described using FIGS. 1 to 12.

Embodiment 1
Hereinafter, Embodiment 1 according to the present invention will be described with reference to FIGS. 1 to 9.

First, the configuration of the business value evaluation apparatus will be described using FIGS. 1 and 2.
The business value evaluation device 100 is a device that calculates and displays values of various parameters related to business value, and as shown in FIG. 1, the parameter relationship setting unit 201, the parameter value setting unit 202, parameter calculation The functional unit includes an analysis parameter setting unit 204, a change target parameter setting unit 205, a parameter relation tracing unit 206, a parameter constraint condition setting unit 207, a parameter information input / output unit 208, and a storage unit 210.

  The parameter relationship setting unit 201 is a functional unit that sets a relationship between a plurality of parameters. The parameter value setting unit 202 is a functional unit that sets parameter values. The parameter calculation unit 203 is a functional unit that calculates the value of another parameter from the relationship between the parameters set by the parameter relationship setting unit 201 and the value of the parameter set by the parameter value setting unit 202. The analysis parameter setting unit 204 is a functional unit that sets a parameter to be analyzed. The change target parameter setting unit 205 is a functional unit that sets a parameter to be changed. The change target parameter is a parameter to be changed, and the analysis parameter is a parameter whose influence is to be analyzed from the change. The parameter relationship tracing unit 206 is a functional unit that traces related parameters from the relationship between the parameters set by the parameter relationship setting unit 201. The parameter constraint condition setting unit 207 is a functional unit that sets constraint conditions when changing a parameter. The parameter information input / output unit 208 is a functional unit that performs input and output of information related to parameters. The storage unit 210 is a functional unit that stores data handled by the business value evaluation apparatus 100. The storage unit 210 stores a parameter information table 211. The parameter information table 211 is a table that holds information related to the parameters handled by the business value evaluation apparatus, and the data is data set by the parameter relationship setting unit 201. The details of the parameter information table 211 will be described in detail later.

Next, the software / hardware configuration of the business value evaluation apparatus will be described using FIG.
The hardware configuration of the business value evaluation apparatus 100 is realized, for example, by an information processing apparatus such as a general personal computer as shown in FIG.

  As shown in FIG. 2, the business value evaluation apparatus 100 includes a central processing unit (CPU) 102, a main storage device 104, a network I / F 106, a display I / F 108, an input / output I / F 110, and an auxiliary storage device I / F 112. Are connected by a bus.

  The CPU 102 controls each unit of the business value evaluation apparatus 100 to load and execute necessary programs in the main storage device 104.

  The main storage device 104 is usually configured by volatile memory such as RAM (Random Access Memory), and stores programs executed by the CPU 102 and data to be referred to.

The network I / F 106 is an interface for connecting to a network.
The display I / F 108 is an interface for connecting a display device 120 such as an LCD (Liquid Crystal Display).
The input / output I / F 110 is an interface for connecting input / output devices. In the example of FIG. 2, a keyboard 130 and a mouse 132 of a pointing device are connected as input devices.
The auxiliary storage device I / F 111 is an interface for connecting an auxiliary storage device such as a hard disk drive (HDD) 150 or a solid state drive (SSD).

  The HDD 150 has a large capacity storage capacity, and stores a program for executing the present embodiment. The business value evaluation apparatus 100 according to the present embodiment includes a parameter relation setting program 151, a parameter value setting program 152, a parameter calculation program 153, an analysis parameter setting program 154, a change target parameter setting program 155, a parameter relation trace program 156, and parameter restrictions. The condition setting program 157 and the parameter information input / output program 158 are installed.

The parameter value setting program 152, the parameter calculation program 153, the analysis parameter setting program 154, the change target parameter setting program 155, the parameter relation trace program 156, the parameter constraint condition setting program 157, and the parameter information input / output program 158 respectively 201 executes functions of a parameter value setting unit 202, a parameter calculation unit 203, an analysis parameter setting unit 204, a change target parameter setting unit 205, a parameter relation tracing unit 206, a parameter constraint condition setting unit 207, and a parameter information input / output unit 208 It is a program.
In addition, the parameter information table 211 is stored in the HDD 150 as data.

The display device 120 is a device that is connected to the business value evaluation device 100 via the display I / F 208 and is used to display information about parameters and the like.
The input device is connected to the business value evaluation device 100 via the input / output I / F 110, and can input information and commands related to parameters.

  Here, the display device 101 for displaying a video for the user and the input device 103 for the user to input settings are directly connected to the business value evaluation apparatus 100, but the display device 101 for displaying an image for the user The input device through which the user inputs settings may be connected to another device, and the device may be connected to the business value evaluation device 100 via a network.

Next, a business model used in the description of the business value evaluation apparatus of the present embodiment will be described using FIG.
Figure 3 shows the relationships among the stakeholders involved in this business model. Here, a health-linked type in which the insurance company provides the user with an advice for improving the health condition of the user, and an incentive for the implementation of the advice. Shows relationships among stakeholders in insurance.

  The user 301 is a person who uses the health-linked insurance service, receives the provision of the medical service 311 from the medical institution 302, and pays the insurance company 303 a premium 312. In addition, the insurance company 303 receives advice for improving health status, incentives for implementation (rewards for implementation), benefits 313, and the device maker 304 receives the medical equipment 305, and the device maker 304 Report activity status 314. Here, the activity status 314 is the presence or absence of the use of the provided medical device 315, and the measurement result thereof.

  The medical institution 302 is a business provider providing medical services, provides the medical services 311 to the user 301 (client), receives payment of the examination fee 316 from the insurance company 303, and provides the examination information 319 to the analysis company 305. And receives the user introduction 320 from the analysis company 305.

  The insurance company 303 is a provider of health-linked insurance, receives the provision of a premium 312 from the user 301, and gives the user 301 advice for improving the health condition, an incentive for the implementation of the advice, Providing the benefit 313, paying the medical examination fee 316 to the medical institution 302, paying the analysis fee 317 to the analysis company 305, and giving advice from the analysis company 305 to improve the health condition of the user 301, the health condition of the user 301 To receive the provision of the insurance result 318 according to.

  The device maker 304 is a company that develops and sells medical devices for acquiring user's biological information, provides the medical device 315 to the user 301, receives the provision of the activity status 314 from the user 301, and analyzes The activity status 321 is provided to the company 305, and the medical equipment fee 322 is received from the analysis company 305.

  The analysis company 305 is a business operator who analyzes the health condition of the user from the visit information of the medical institution 302 and the measurement data of the medical device 315. The analysis company 305 receives the medical examination information 319 from the medical institution 302 and provides the medical institution 302 with the user introduction 320. Also, receiving the provision of the analysis cost 317 from the insurance company 303, the insurance company 303 is provided with an advice for improving the health condition of the user 301, and a benefit calculation result 318 according to the health condition of the user 301. In addition, the device maker 304 receives the provision of the activity status 321, and provides the device maker 304 with the medical device charge 322.

Next, an example of the parameter information table to which the business value evaluation apparatus refers will be described using FIG.
The parameter information table is a table for holding information on parameters referred to by the business value evaluation apparatus 100, and as shown in FIG. 4, parameter name 401, parameter relational expression 402, relation parameter 403, parameter value 404, It consists of each field of domain 405.

  The parameter name 401 stores a name for specifying a parameter. The parameter relational expression 402 stores an expression for calculating the value of the parameter, and stores “−” when it is not a parameter whose value can be obtained from other parameters. In the relation parameter 403, "-" is described if the parameter is a parameter appearing in the parameter relation equation 402 and is not a parameter whose value is obtained from other parameters. When the parameter value 404 stores the value set in the parameter, and an equation for calculating the value of the parameter is described in the parameter equation 402, the equation described in the parameter equation 402 and the relationship It is calculated from the parameter values described in parameter 403. For example, in line 417, the parameter relation equation 402 of the parameter name 401 “cost (insurance company)” is “number of contractors” * (“benefit” * “morbidity” + “analysis cost” + “incentive”) The related parameter 403 is “benefit, morbidity rate, number of contractors, analysis cost”, and the parameter value 404 is “462”. A domain 405 is a range that can be taken by the parameter name 401.

The parameter name 401, the parameter relational expression 402, the relation parameter 403, and the domain 405 are set in advance.
The parameter values 404 are set in advance for parameters whose parameter relation equation 402 is “-”. For parameters for which the parameter relation equation 402 is not "-", values calculated from the parameter relation equation 402 and parameter values 404 of other parameters are set.

Next, processing of the business value evaluation apparatus will be described using FIGS. 5 to 9.
First, each user interface screen of the business value evaluation apparatus will be described using FIGS. 5 to 8.
The parameter relationship display screen 501 is a screen that visually represents the relationship of each parameter, as shown in FIG. The parameter located at the tip of the arrow of the parameter relationship display screen 501 indicates that the parameter is calculated from the parameter located at the root of the arrow.

  In this example, the incentive 511 indicates that the number of contractors 515, the morbidity rate 516, and the cost (insurance company) 517 are affected. Further, the benefit 512 shows that the cost (insurance company) 517 is affected. In addition, the analysis cost 513 indicates that the morbidity rate 516, the cost (insurance company) 517, and the sales (analysis company) 521 are affected. In addition, it is shown that the premium 514 affects the sales (insurance company) 518. Further, the number of contractors 515 indicates that the cost (insurance company) 517 and the sales (insurance company) 518 are affected. In addition, the morbidity rate 516 indicates that the cost (insurance company) 517 is affected. It also shows that the cost (insurance company) 517 affects the profit (insurance company) 519. In addition, sales (insurance company) 518 is shown to affect profit (insurance company) 519. In addition, the cost (analytical company) 520 indicates that the profit (analytical company) 522 is affected. In addition, sales (analytical company) 521 indicate that the profit (analytical company) 522 is affected.

As shown in FIG. 6, the change target parameter setting screen 601 is a screen for the user to set the change target parameter, and includes a parameter relationship diagram area 602 and a change target parameter selection list box 603.
The change target parameter selection list box 603 is an area for setting a change target parameter.

The change target parameter setting screen 601 of FIG. 6B is the change target parameter setting screen 601 when “morbidity rate” is set as the change target parameter.
Here, the change target parameter is a parameter explicitly designated as a target to be changed by the user.

  The change target parameter setting screen 601 is a parameter that affects the change target parameter set in the change target parameter selection list box 603 at the time of parameter value calculation processing (described later with reference to FIG. 9), and changes The parameter whose value is not uniquely determined from the value of the change target parameter set in the target parameter selection list box 603 is highlighted.

  Here, we highlighted such a parameter, but thickened the outline of the box representing the parameter, changed the color of the box representing the parameter from the box representing the other parameter, blinked the box representing the parameter, parameter name Other highlighting may be used, such as changing the font color, changing the font of the parameter name, etc.

  In the example of FIG. 6 (b), the value is not uniquely determined from the value of “morbidity rate” that is a parameter that affects “morbidity rate” that is a change target parameter, and that is, value These parameters are highlighted because the parameters are “incentive” and “analysis cost”.

The parameter constraint condition setting screen 701 is a screen for setting the constraint condition of the target parameter, as shown in FIG.
The parameter constraint setting screen 701 includes a parameter relationship diagram area 702 and a parameter constraint setting area 703.

  The parameter relationship diagram area 702 is an area for displaying parameter relationships, and the parameter constraint setting area 703 is an area for the user to set parameter constraints.

  The parameter constraint condition setting area 703 includes a target parameter input field 704 and a parameter constraint condition input field 705.

  The target parameter input field 704 is an area for setting parameter names of parameters for setting constraint conditions.

  The parameter constraint condition input field 705 is an area for setting the parameter constraint condition set in the target parameter input field 704.

  The parameter constraint condition setting screen 701 in FIG. 7B is a parameter constraint condition setting screen when “analysis cost” is set as a parameter for setting the constraint condition and “minimize” is set as the constraint condition.

  In the parameter constraint setting screen 701, according to the parameter constraint set in the parameter constraint setting area 703, the parameter whose value is uniquely determined from the value of the change target parameter set in the change target parameter setting screen 701 of FIG. If there is a highlight, erase it.

As shown in FIG. 7 (b), when the constraint condition of "analysis cost" is "minimize", the value of "incentive" and "analysis cost" is obtained from the value of "morbidity rate" which is the change target parameter. The highlight of these parameters has been erased because
In addition to “minimize”, “maximize”, an “intermediate value” of a domain, or a fixed numerical value may be input as the constraint condition.

The sensitivity analysis result screen 801 is a screen that displays changes in other parameters when changing certain parameters as shown in FIG.
The sensitivity analysis result screen 801 shown in FIG. 8 selects "prevalence" as the change target parameter, and sensitivity analysis when "profit (insurance company),""profit (analysis company) is selected as analysis parameters. It is a screen for displaying the result, and the result is displayed by the graph 802 and the graph 803, respectively.

  Here, as the analysis parameter, it is possible to select a parameter whose value is uniquely determined from the value of the change target parameter.

  Graph 802 is a sensitivity analysis result showing how "profit (insurance company)" due to change in "morbidity" changes, and "morbidity" is increased to 10% from the current setting. The figure shows the change in “profit (insurance company)” when it is reduced to 10%.

Graph 803 is a sensitivity analysis result showing how "profit (analytical company)" changes due to change in "morbidity rate", and "morbidity rate" is increased to 10% from the current setting The figure shows the change in “Profit (analytical company)” when it is reduced to 10%.
By displaying in this manner, it is easy for the user to visually grasp the influence on other parameters when changing one parameter.

Next, the parameter value calculation process of the business value evaluation apparatus will be described using FIG.
First, the user sets a change target parameter on the change target parameter setting screen 701 shown in FIG. 6 (S900).

Next, it is determined whether the analysis parameter is directly derived from the change target parameter (S901).
When the analysis parameter is directly derived from the change target parameter (S901: Yes), the process ends.
When the analysis parameter is not directly derived from the change target parameter (S901: No), the process proceeds to S902.

  Next, the parameter relationship tracing unit 206 of the business value evaluation apparatus 100 extracts parameters affecting the change target parameter set by the user with reference to the parameter information table 211 shown in FIG. 4 (S902).

  Next, the parameter calculation unit 203 of the business value evaluation apparatus 100 extracts a parameter whose value can not be uniquely determined from the value of the change target parameter among the parameters extracted in S901 (S903). For example, in the case where the relationship between the change target parameter and the parameter affecting this is in a one-to-one correspondence, the value of the change target parameter is uniquely determined from the value of the change target parameter. On the other hand, for example, when there are a plurality of parameters that affect the change target parameter, the value of the parameter that affects the change target parameter is not uniquely determined.

  Next, the parameter calculation unit 203 of the business value evaluation apparatus 100 highlights the parameter whose value can not be uniquely determined from the value of the change target parameter extracted in S902 on the parameter relationship display screen 801 shown in FIG. S904).

  Next, the parameter calculation unit 203 and the parameter constraint condition setting unit 207 of the business value evaluation apparatus 100 perform S906, S907, S908, and S909 until there is no parameter whose value can not be uniquely determined from the value of the change target parameter (S905- S910).

  Next, the parameter calculation unit 203 of the business value evaluation apparatus 100 determines whether or not the input of the constraint condition from the user has been completed from the parameter constraint condition input field 805 of the parameter constraint condition setting screen 810 (S906).

  When the input of the constraint condition from the user from the parameter constraint condition input column 805 of the parameter constraint condition setting screen 810 is completed (S906: Yes), the parameter calculation unit 203 of the business value evaluation apparatus 100 ends the processing.

  When the parameter calculation unit 203 of the business value evaluation apparatus 100 does not input the constraint condition from the user from the parameter constraint condition input field 805 of the parameter constraint condition setting screen 810 (S906: No), the process proceeds to S907.

  When S906 is No, the parameter constraint condition setting unit 207 of the business value evaluation apparatus 100 receives the constraint condition when changing the parameter from the user (S907). The constraint conditions here are, for example, fixing the value of the parameter, maximizing the value of the parameter, minimizing the value of the parameter, and the like.

  Next, the parameter calculation unit 203 of the business value evaluation apparatus 100 calculates the value of the parameter according to the constraint received in S906 (S908). In calculating parameter values, existing methods such as solving optimization problems are used.

  Next, the parameter calculation unit 203 of the business value evaluation apparatus 100 highlights a parameter whose value can not be uniquely determined from the value of the change target parameter in S907 on the parameter relationship display screen (S909).

For example, when the morbidity rate 516 is selected as the change target parameter, an incentive 511 and an analysis cost 513 are extracted as parameters that affect the morbidity rate 516 in S901.
Next, since the values of the incentive 511 and the analysis cost 513 are not uniquely determined from the value of the morbidity rate 516, the incentive 511 and the analysis cost 513 are extracted in S903.
Next, the incentive 511 and the analysis cost 513 extracted in S903 are highlighted on the parameter relationship display screen 501 in S903.
Next, processing is repeatedly performed in S905-S910.

Next, in step S906, it is determined that acceptance of input of constraint from the user has been received. Here, it is assumed that the input completion of the constraint condition from the user is not accepted.
Next, in step S 907, the constraint conditions for changing the parameter are accepted. Here, it is assumed that the constraint of fixing the value of the analysis cost 513 is given.
Next, the value of the parameter is calculated in accordance with the constraint received in S908. When the value of the analysis cost 513 is fixed, the values of the incentive 511 and the analysis cost 513 are uniquely calculated from the value of the morbidity rate 516.

  Next, since the values of the incentive 511 and the analysis cost 513 are uniquely calculated, the highlight of the incentive 511 and the analysis cost 513 on the parameter relationship display screen 501 is deleted in S909.

Next, since there is no parameter whose value can not be determined uniquely from the value of the morbidity rate 516 which is the change target parameter, the repetition processing of S905 to S910 is ended, and the processing is ended.
In the present embodiment, parameters whose values can not be uniquely determined from the values of the change target parameters are highlighted in the parameter relationship display screen 501. However, they are displayed as a table such as the parameter information table of FIG. The target line may be highlighted.

  According to the above-described business value evaluation apparatus of the present embodiment, the user designates a parameter to be changed, and the parameter representing the problem is visually displayed in order to highlight the parameter for which the value of the parameter is not uniquely determined. The user can specify appropriate parameter constraints by trial and error.

Second Embodiment
Second Embodiment A second embodiment according to the present invention will be described below with reference to FIGS.
In the first embodiment, when there is a parameter whose value can not be uniquely determined from the value of the change target parameter, the business value evaluation for finally calculating the value of the analysis parameter by the user inputting the constraint condition regarding the parameter. The apparatus has been described.

  In this embodiment, analysis is performed on the case where there is an overlap between the parameter that affects the analysis parameter set by the user and the parameter that affects the change target parameter such that the value is not uniquely determined from the value of the change target parameter. The business value evaluation apparatus which calculates the value of a parameter is demonstrated.

In this case, in such a case, in the method of the first embodiment, it is difficult to give a constraint condition on overlapping parameters, and another indicator tries to give a constraint condition.
In the present embodiment, a description will be made focusing on parts different from the business value evaluation apparatus 100 of the first embodiment.

First, each user interface screen of the business value evaluation apparatus will be described using FIG. 10 and FIG.
The conversion target parameter / analysis parameter setting screen 1001 is a screen for the user to set a change target parameter and an analysis parameter, and includes a parameter relationship diagram area 1002, a change target parameter selection list box 1003, and an analysis parameter input field 1004.
The change target parameter selection list box 1003 is an area for setting a change target parameter.
An analysis parameter input field 1004 is an area for setting analysis parameters.

  The conversion target parameter / analysis parameter setting screen 1001 shown in FIG. 10 (b) is the change target parameter and analysis parameter when the "morbidity rate" is set as the change target parameter and "profit (analysis company)" is set as the analysis parameter. It is a setting screen.

  In the change target parameter / analysis parameter setting screen 1001, it is a parameter that affects the analysis parameter set in the analysis parameter input field 1004, and affects the change target parameter set in the change target parameter selection list box 1003. Are highlighted, and the parameter whose value is not uniquely determined from the value of the change target parameter set in the change target parameter selection list box 1003 is highlighted.

  In this example, it is a parameter that affects the analysis parameter “profit (analysis company)”, and is a parameter that affects the change target parameter “morbidity rate”, and is the change target parameter “ The parameters that can not be determined uniquely from the value of the “morbidity rate” are “incentive” and “analysis cost”, so these parameters are highlighted.

The parameter constraint condition setting screen 1101 is a screen for setting each parameter constraint condition of the business value evaluation apparatus as shown in FIG.
The parameter constraint condition setting screen 1101 shown in FIG. 11 is a parameter constraint condition setting screen when “morbidity rate” is set as the change target parameter and “profit (analysis company)” is set as the analysis parameter, and the incentive parameter graph 1102 , Analysis cost parameter graph 1103.

The incentive parameter graph 1102 shows the relationship between the possible value of the incentive and the weight w for it, and displays the setting result of the user.
Here, the relationship is set such that the current value has the largest weight w, and the weight w decreases gently with respect to the increase and decrease of the value. This indicates that the incentive is set to be relatively variable.

  As the weight w, one that matches the evaluation model of the business value evaluation device is used. For example, when statistical information that can be taken by a parameter can be used, the likelihood (probability) of the parameter can be taken. In the example shown in FIG. 11, where the weight w of the parameter “morbidity rate” and “profit (analytical company)” is large, it has significance to evaluate where the possibility of the parameter can be the largest. .

The analysis cost parameter graph 1103 shows the relationship between the possible value of the analysis cost and the weight w, and displays the setting result of the user.
Here, the relationship is set such that the current value has the largest weight w and the weight w sharply decreases as the value increases or decreases. This indicates that the analysis cost is set relatively inflexible.

  As shown in FIG. 8 of the first embodiment, the value of “profit (analysis company)” which is an analysis parameter is obtained from the value of “morbidity rate” which is a change target parameter in accordance with the parameter constraint condition set here. The sensitivity analysis result screen 901 is displayed.

Next, an example of the parameter value calculation process of the business value evaluation apparatus of the second embodiment will be described using FIG.
First, from the change target parameter / analysis parameter setting screen 101 shown in FIG. 10, the change target parameter and the analysis parameter are set (S1200).

Next, it is determined whether the analysis parameter is directly derived from the change target parameter (S1201).
When the analysis parameter is directly derived from the change target parameter (S1201: Yes), the process ends.
When the analysis parameter is not directly derived from the change target parameter (S1201: No), the process proceeds to S1202.

  Next, the parameter relationship tracing unit 206 of the business value evaluation apparatus 100 extracts parameters affecting the analysis parameters set by the user with reference to the parameter information table 211 shown in FIG. 4 (S1202).

  Next, the parameter relationship tracing unit 206 of the business value evaluation apparatus 100 refers to the parameter information table 211 to extract a parameter that affects the change target parameter set by the user (S1203).

  Next, the parameter calculation unit 203 of the business value evaluation apparatus 100 extracts a parameter whose value can not be uniquely determined from the value of the change target parameter among the parameters extracted in S1202 (S1204).

  Next, the parameter calculation unit 203 of the business value evaluation apparatus 100 uniquely determines a value from the parameter affecting the analysis parameter set by the user extracted in S1201 and the value of the change target parameter extracted in S1203. It is checked whether there is any overlap with the parameter that affects the change target parameter such as not (S1205).

If these parameters have duplicates (S1205: Yes), the process proceeds to S1206.
At this time, overlapping parameters are highlighted on the parameter relationship display screen 501 shown in FIG.
If there is no duplication in those parameters (S1205: No), it means that the analysis parameters set by the user and the change target parameters set by the user are irrelevant, so S904 to S909 in FIG. 9 of the first embodiment. Is executed (S1220).

Next, the parameter relationship tracing unit 206 of the business value evaluation apparatus 100 is affected by the parameter that is present at the end of the parameter relationship display screen 501 among the overlapping parameters extracted in S1205, ie, other parameters. No parameters are extracted (S1206).
Then, the parameter constraint condition setting unit 207 of the business value evaluation apparatus 100 performs S1208 for the parameters extracted in S1206 (S1207 to S1209).

  Next, the parameter constraint condition setting unit 207 of the business value evaluation apparatus 100 receives the setting of the relationship between the value of the parameter and the weight of the parameter from the user (S1208). Here, the possible value of the parameter and the weight for taking that value are accepted from the user. The setting is performed by inputting a mathematical expression or a graph shape as shown in FIG.

  Next, the parameter calculation unit 203 of the business value evaluation apparatus 100 determines the value of the parameter according to the relationship between the value of the parameter received in S1210 and the weight (S1210). In calculating parameter values, existing methods such as solving optimization problems are used.

  Next, the parameter calculation unit 203 of the business value evaluation apparatus 100 determines the value of the parameter affected by the parameter whose value is determined in S1209 (S1211). Thereby, the influence on the parameter to be analyzed when changing the value of the parameter to be changed can be obtained.

  For example, when a profit (analytical company) 522 is selected as an analysis parameter, the incentive 511, an analysis cost 513, the number of contractors 515, a cost (analytical company) as a parameter affecting the profit (analytical company) 522 in S1203. 520, sales (analytical company) 521 are extracted.

  Next, when the morbidity rate 516 is selected as the change target parameter, the incentive 511 and the analysis cost 513 are extracted as parameters affecting the morbidity rate 516 in S1204.

  Next, since the values of the incentive 511 and the analysis cost 513 are not uniquely determined from the value of the morbidity rate 516, the incentive 511 and the analysis cost 513 are extracted in S1205.

Next, in S1205, the incentive 511 which is the parameter extracted in S1204, the analysis cost 513, the number of contractors 515, the cost (analytical company) 520, the sales (analytical company) 521, and the incentive which is the parameter extracted in S1203 In step S1206, it is confirmed that the analysis cost 513 has a duplicate.
At this time, since the overlapping parameters are the incentive 511 and the analysis cost 513, the incentive 511 and the analysis cost 513 are highlighted on the parameter relationship display screen 501.

Next, since both the incentive 511 and the analysis cost 513 which are overlapping parameters are the last parameters, the incentive 511 and the analysis cost 513 are extracted in S1206.
Next, in S1207 to S1209, the processing is repeatedly performed for the incentive 511 and the analysis cost 513 which are the parameters extracted in S1206.

At S1208, the input of the relationship between the value of the parameter and the weight of the parameter is accepted. Here, it is assumed that a relationship that maximizes the weight w (incentive) related to the incentive and the weight w (analysis cost) related to the analysis cost is input.
When the input of the relation between the value of the parameter and the weight of the parameter is received for the incentive 511 and the analysis cost 513, the iterative process is ended, and the process proceeds to S1210.

Next, in S1210, according to the relationship between the value of the incentive 511 and the value of the analysis cost 513 and the weight of the parameter input in S1208, the value of the incentive 511 and the analysis cost 513 is determined from the value of the morbidity 516 which is the change target parameter .
Next, in S1211, the value of the profit (analytical company) 522, which is an analysis parameter, is determined from the values of the incentive 511 and the analysis cost 513 determined in S1210.

  In the present embodiment, although there are two parameters for giving a constraint condition, three or more parameters may be provided. In addition, although only one analysis parameter is set, two or more may be set. When setting two or more analysis parameters, processing for determining the values of the parameters shown in FIG. 12 is performed for each analysis parameter, and the values of each analysis parameter are obtained according to the set constraint conditions.

  In the present embodiment, even in the case where there is an overlap between the parameter affecting the analysis parameter set by the user and the parameter affecting the change target parameter whose value can not be uniquely determined from the value of the change target parameter. By evaluating the weight relation for the parameter, such parameter can be given a value to determine the value of the analysis parameter.

Claims (8)

A business value evaluation device for calculating the relationship between parameters related to business value,
Maintain a parameter information table that stores the relationship between parameters and parameter values,
A means for entering parameter constraints;
A means for setting a parameter whose value is to be changed as the parameter to be changed;
Means for referring to the parameter information table and extracting a parameter whose value is not uniquely determined from the change target parameter among the parameters affecting the change target parameter;
And means for calculating a value of a parameter whose value can not be uniquely determined from the change target parameter according to the input constraint condition when the parameter constraint condition is input by means for inputting the parameter constraint condition. Business value evaluation device characterized by. Furthermore, it has means for displaying information on parameters,
2. The business value evaluation apparatus according to claim 1, wherein the dependency relation among the parameters is displayed as a graph with the parameter as a node and the dependency relation as an edge on the means for displaying the information on the parameters.   When displaying a graph in which the parameter is a node and the dependency is an edge, a value unique to the value of the parameter selected as the change target among the parameters affecting the parameter selected as the change target is displayed. The business value evaluation system according to claim 2, characterized by highlighting a parameter which can not be determined.   For a parameter whose value can not be determined uniquely from the value of the parameter selected as the change target, a constraint on the parameter is input, and as a result of recalculation, the value is uniquely determined from the value of the parameter selected as the change target 4. The business value evaluation system according to claim 3, wherein highlighting of the parameter is stopped and displayed when it becomes. Furthermore, means for setting an analysis parameter to be analyzed;
When there is an overlap between a parameter that affects the set analysis parameter and a parameter that affects the change target parameter such that the value is not uniquely determined from the value of the change target parameter, the redundant parameter is extracted Means to
The business value evaluation device according to claim 1, further comprising: means for calculating the value of the overlapping parameter from the change target parameter in accordance with the input constraint condition when the parameter constraint condition is input. . Calculating weights to evaluate the overlapping parameters;
The business value evaluation device according to claim 5, wherein the constraint condition includes information on a weight for evaluating the overlapping parameter. A business value evaluation method is a business value evaluation method for calculating a relationship between parameters related to business value,
Holding a parameter information table storing the relationship between parameters and parameter values;
Entering parameter constraints;
Setting a parameter whose value is to be changed as the parameter to be changed;
Extracting a parameter whose value is not uniquely determined from the change target parameter among the parameters affecting the change target parameter with reference to the parameter information table;
Calculating parameter values whose values can not be uniquely determined from the change target parameters according to the input constraint conditions when the parameter constraint conditions are input by means for inputting parameter constraint conditions;
Displaying dependency relationships between parameters as a graph with parameters as nodes and dependency relationships as edges;
When displaying a graph in which the parameter is a node and the dependency is an edge, a value unique to the value of the parameter selected as the change target among the parameters affecting the parameter selected as the change target is displayed. Highlighting the parameters that can not be determined. Further, the step of setting analysis parameters to be analyzed;
When there is an overlap between a parameter that affects the set analysis parameter and a parameter that affects the change target parameter such that the value is not uniquely determined from the value of the change target parameter, the redundant parameter is extracted Step to
Calculating the value of the overlapping parameter from the change target parameter according to the input constraint when the constraint of the parameter is input;
Calculating a weight for evaluating the overlapping parameter;
The business value evaluation method according to claim 7, wherein the constraint condition includes information on a weight for evaluating the overlapping parameter.

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