Business plan development support system and business plan development support method

Abstract

To support operations related to formulation of a business plan utilizing data, such as open data.SOLUTION: A business plan formulation support system is configured to: store multiple pieces of region information and case information, the region information indicating configurations of regions and the case information relating to cases of business formulated for each region; acquiring an index for a problem to be solved by a business plan; extract, as recommendation case information, case information with the same index from among the case information; acquiring a business evaluation item indicating a business achievement from among the recommendation case information; and generating and outputting information based on the business evaluation item. The business plan formulation support system generates, on the basis of the recommendation case information, learning data using one of the business evaluation items as an objective variable and other business evaluation items as explanatory variables, generates an evaluation model trained with the learning data, and generates and outputs a value of the objective variable which is obtained by inputting the values of the business evaluation items of the business plan, as explanatory variables, to the evaluation model.SELECTED DRAWING: Figure 2

Description

Technical Field

[0001] The present invention relates to a business plan formulation support system and a business plan formulation support method.

Background Art

[0002] When formulating a new business such as a new product, new service, or new solution in an organization such as a company or public office, it is effective to utilize past case studies of efforts with similar issues and solutions. For example, in a local government or region, when considering solutions to the issues of the local government or region, it may be necessary to investigate, utilize, or refer to the efforts of neighboring local governments or past case studies of local governments or regions with similar populations and industries.

[0003] As one means of solving the issues of local governments and regions, there is a smart city that aims to solve issues by utilizing ICT (Information and Communication Technology) and the like. The Cabinet Office defines a smart city as "a sustainable city or region that utilizes new technologies such as ICT, and by enhancing management (planning, maintenance, management / operation, etc.), solves various issues faced by cities and regions, and continuously creates new value, and is a leading implementation site for Society 5.0." The Ministry of Land, Infrastructure, Transport and Tourism has constructed a "Smart City Public-Private Partnership Platform" and publicly discloses past smart city cases implemented in local governments and regions in Japan from the above platform.

[0004] In Japan, there are many smart city cases at the experimental stage, but overseas it is more advanced, and there are also cases of practical application in the Netherlands, the United States, etc., and cases where the plan has been aborted like Toronto in Canada.

[0005] Regarding the use of case studies, for example, Patent Document 1 describes a service design support system configured to support efficient and accurate service design by presenting services and their constituent products and technologies that are effective in solving business problems in a multifaceted and easily understandable manner. The service design support system is described as "recording the relationships between the business, problems, and services of past cases that have provided value, and calculating the similarity between the target case and past cases when designing a service, and displaying similar cases on an output device." [Prior art documents] [Patent Documents]

[0006] [Patent Document 1] Japanese Patent Publication No. 2018-45724 [Overview of the project] [Problems that the invention aims to solve]

[0007] Conventional technologies propose methods for extracting similar past cases during service design, but there is room for improvement in planning sustainable businesses that address local challenges while taking into account regional characteristics.

[0008] For example, when formulating a business plan for a smart city, it is necessary to formulate a business plan for services that are suitable for the characteristics of the region (population, industry, geographical features, etc.). Specifically, for example, if the regional issue is "disaster prevention," in rural areas there are many issues related to evacuation measures for residents, mainly the elderly, but in urban areas, issues related to people who cannot return home due to a disaster, such as commuters or tourists, also arise, and the content of the issues may differ between rural and urban areas. Furthermore, even if the issue is the same, such as "evacuation measures for residents," there may be differences in population composition, such as whether there are many elderly people or many young people, as well as differences in budget size and urban shape, so the same applies. Even the same problem requires different solutions.

[0009] Furthermore, while the conventional technology described above can extract similar cases implemented in the past, it is difficult to determine whether the business in those cases will be successful (or sustainable). There is room for improvement in extracting successful business cases and considering areas for improvement to make the business viable.

[0010] The present invention aims to provide a business plan development support system and a business plan development support method that assist in the process of developing business plans suitable for a particular region. [Means for solving the problem]

[0011] One of the present inventions for achieving the above objective is a system for supporting the formulation of business plans (business plan formulation support system), which is configured using an information processing device having a processor and a memory device, and stores multiple pieces of regional information, which is information indicating the composition of a region, and case information, which is information regarding business examples formulated for each region, The system accepts the designation of the target area, which is the area covered by the business plan; accepts the designation of the extraction method for the search target area, which is the area for which examples of the said target area will be searched; extracts the search target area from the said regional information according to the extraction method; obtains the said example information of the said search target area as extracted example information; and We obtain indicators of the effectiveness of the business plan in addressing the issues it aims to solve, From the extracted case information, the case information that shares the same indicator is extracted as the recommended case information. The aforementioned recommended case information Output .

[0012] Further issues disclosed in this application, and methods for solving them, will be made clear in the section on embodiments for carrying out the invention and in the drawings. [Effects of the Invention]

[0013] According to the present invention, it is possible to support the process of formulating a business plan suitable for a region by presenting candidate issues for the target region, presenting effective examples for solving the issues for the target region, conducting a business evaluation that takes into account the business evaluation items that are important for the target region, presenting recommended examples in order of evaluation, and predicting the business for the target region. [Brief explanation of the drawing]

[0014] [Figure 1] This diagram shows the general configuration of the business plan development support system. [Figure 2]It is a block diagram showing the main functions of the business plan formulation support device. [Figure 3] It is a flowchart explaining the business plan formulation process. [Figure 4] It is an example of the target area reception screen. [Figure 5] It is a flowchart explaining the search target area extraction process. [Figure 6] It is an example of the search target area extraction setting screen. [Figure 7] It is an example of area information. [Figure 8] It is an example of area classification information. [Figure 9] It is an example of extraction case information. [Figure 10] It is a flowchart explaining the issue / evaluation index reception process. [Figure 11] It is an example of the issue / evaluation index reception screen. [Figure 12] It is an example of issue / evaluation index information. [Figure 13] It is an example of business plan information. [Figure 14] It is a flowchart explaining the case quantification process. [Figure 15] It is an example of the evaluation index importance setting screen. [Figure 16] It is an example of recommended case information. [Figure 17] It is an example of case information for evaluation model construction. [Figure 18] It is an example of partner configuration information. [Figure 19] It is an example of case quantification rank information. [Figure 20] It is an example of learning data. [Figure 21] It is a flowchart explaining the evaluation model construction process. [Figure 22] It is an example of evaluation model information. [Figure 23] It is a flowchart explaining the recommended case presentation process. [Figure 24] It is an example of the business plan evaluation presentation screen. [Figure 25] This is a flowchart explaining the business plan evaluation process. [Figure 26] This is an example of a business plan input screen. [Figure 27] This is an example of an information processing device used to implement the components of a business plan development support system. [Modes for carrying out the invention]

[0015] Embodiments of the present invention will be described below with reference to the drawings. The following description and drawings are illustrative examples for illustrating the present invention, and have been omitted and simplified as appropriate for clarity of explanation. The present invention can also be implemented in various other forms.

[0016] In the following explanation, the letter "S" preceding a symbol indicates a processing step. In the following explanation, when describing identification information, terms such as "identifier," "name," "ID," and "number" may be used, but these are interchangeable.

[0017] Figure 1 shows a schematic configuration of the Business Plan Formulation Support System 1, which is an information processing system described as one embodiment. The Business Plan Formulation Support System 1 is used by organizations such as companies and government agencies that formulate business plans related to a region, such as urban development, transportation, and tourism. Below, we will explain as an example the case in which a user, who is the main body promoting the business plan, uses the Business Plan Formulation Support System 1 to formulate a business plan for a region in which they intend to develop a business (for example, a region where a mayor exists (city, town, or prefecture), a region with common challenges, an urban development region, etc. hereinafter referred to as the "Target Region"). Examples of businesses to be developed in the Target Region include transportation mobility, energy, disaster prevention, infrastructure maintenance and management, tourism / regional revitalization, health / medical care, agriculture, forestry and fisheries, security / monitoring, logistics, urban planning / development, etc.

[0018] Business plan development support system 1 selects regions with similar population structures and industrial structures to the target region (hereinafter referred to as "similar regions"), and generates an evaluation model, which is a machine learning model that outputs information related to the evaluation of business plans, by using examples of business plans developed in the selected similar regions as training data. Business plan development support system 1 provides users with various types of information to support their business plans (hereinafter referred to as "support information") using examples from similar regions and the evaluation model.

[0019] As shown in the figure, the business plan development support system 1 includes one or more information providing devices 2, information collecting devices 3, business plan development support devices (hereinafter referred to as "support devices 100"), and one or more user devices 4. All of these are configured using information processing devices (computers). The information providing devices 2 and the information collecting devices 3 are connected to each other via a communication network 5. The information collecting devices 3 are also connected to the support devices 100 in a communication manner. The user devices 4 and the support devices 100 are connected to each other via a communication network 6. Communication networks 5 and 6 are, for example, LANs (Local Area Networks), WANs (Wide Area Networks), the Internet, and public communication networks. , dedicated lines, etc.

[0020] Information provision device 2 can be used by, for example, government ministries, prefectures, municipalities, companies, councils, and urban development promotion organizations. This is a computer managed by the entity, etc., and provides information (hereinafter referred to as "case information") regarding examples of projects and services planned (or implemented) by the organization (ministries, prefectures, municipalities, companies, councils, urban development promotion entities, etc.) to the information collection device 3 via the communication network 5.

[0021] The information gathering device 3 receives case information sent from the information providing device 2 and provides the received case information to the support device 100. The information gathering device 3 may also receive case information directly from the user via a user interface, for example. Furthermore, the support device 100 may also function as the information gathering device 3 (i.e., the support device 100 may have the functions of the information gathering device 3).

[0022] The support device 100 extracts case information from similar cities from the case information, and extracts candidate issues and indicators (KPIs) for the target area from the extracted case information (hereinafter referred to as "extracted case information"). We quantify case study information, construct a business evaluation model based on business evaluation items emphasized in the target region, and extract case studies with common key performance indicators (KPIs) from the extracted case study information as recommended case studies. The support device 100 then rearranges and presents recommended case information based on the business evaluation model, and uses the business evaluation model to predict and provide (output) business in the target area. The support device 100 receives various information from the user via the user device 4. The support device 100 also provides (outputs) various information to the user via the user device 4.

[0023] User device 4 receives from the user the challenges of the business plan and the evaluation indicators to be used to assess the effectiveness of those challenges, and transmits the received challenges and evaluation indicators to support device 100. User device 4 also provides the user with support information sent from support device 100. For example, support device 100 may function as user device 4 (i.e., support device 100 may perform the functions of user device 4).

[0024] Figure 2 shows the main functions of the support device 100. As shown in the figure, the support device 100 includes the following functions: a storage unit 110, an information acquisition and management unit 120, a search area setting unit 125, a problem / indicator setting unit 130, a case extraction unit 135, a case quantification unit 140, an evaluation model construction unit 150, a recommended case presentation unit 160, and a business plan evaluation unit 170.

[0025] Of the above functions, the memory unit 110 stores case information 101, regional information 102, regional classification information 103, extracted case information 104, issue / indicator (KPI) information 105, evaluation model information 106, recommended case information 107, case information for evaluation model construction 108, partner configuration information 109, case quantification rank information 111, learning data 112, and business plan information 113.

[0026] The information acquisition and management unit 120 acquires and manages the information stored in the storage unit 110. The information acquisition and management unit 120 receives case information sent from the information collection device 3 and manages the received case information as case information 101.

[0027] The search area setting unit 125 receives the user's specification of the target area and the method for extracting the search target area, extracts case information corresponding to the accepted target area from the case information 101 using the accepted extraction method, and manages the extracted case information as extracted case information 104.

[0028] As shown in the figure, the search area setting unit 125 has the functions of a target area / extraction method receiving unit 126 and a search area selection unit 127. Of these, the target area / extraction method receiving unit 126 receives the user's specification of the target area and the extraction method for the search target. The search area selection unit 127 extracts the area to be searched (hereinafter referred to as the "search target area") based on the received target area and the extraction method for the search target.

[0029] The issue / indicator setting unit 130 outputs candidate issues for the target area, accepts the user's specification of issues and indicators (KPIs) for the business plan, and manages the accepted information as issue / indicator (KPI) information 105.

[0030] As shown in the figure, the issue / indicator setting unit 130 receives the issue / indicator (KPI) from the issue / indicator (KPI) receiving unit 131, and the issue The candidate generation unit 132 has the functions of each of the above. The issue / key performance indicator (KPI) receiving unit 131 receives business information from the user. The system accepts the specification of project issues and key performance indicators (KPIs), and manages the accepted information as issue / indicator (KPI) information 105. The issue candidate generation unit 132 modifies the issues of past cases in the target region and outputs them to the screen as issue candidates for the target region, in descending order of aggregate count.

[0031] The case extraction unit 135 extracts cases. The case extraction unit 135 has the functions of a search area case extraction unit 136 and a case extraction processing unit 137. Of these, the search area case extraction unit 136 extracts the area to be searched (hereinafter referred to as the "search target area") based on the received target area and the extraction method for the search target. The case extraction processing unit 137 extracts case information for the search target area from the case information 101 and manages the extracted case information as extracted case information 104.

[0032] The case quantification unit 140 extracts case information from the extracted case information 104 in which the evaluation indicator is common with the evaluation indicator specified by the user, and manages the extracted recommended cases as recommended case information 107. The case quantification unit 140 also generates information used to generate training data for training the evaluation model based on the recommended case information 107, and manages the generated information as evaluation model construction case information 108. The case quantification unit 140 also quantifies the values ​​of the evaluation indicators in the evaluation model construction case information 108, generates training data for training the evaluation model using the quantified values ​​of the evaluation indicators, and manages the generated training data as training data 112.

[0033] As shown in the figure, the case quantification unit 140 has the following functions: a business evaluation item importance reception unit 141, a recommended case extraction unit 142, an evaluation model construction case extraction unit 143, and a learning data generation unit 144. Of these, the business evaluation item importance reception unit 141 receives the weights (importance) of evaluation indicators received by the issue / indicator setting unit 130 from the user and manages the received weights in the evaluation model information 106. The recommended case extraction unit 142 extracts case information with common indicators (KPIs) from the extracted case information 104 as recommended cases, and the extracted recommended cases are stored in the recommended case information 1 It is managed as 07. The evaluation model construction case extraction unit 143 generates information used to generate training data for training the evaluation model based on the recommended case information 107 and manages it as evaluation model construction case information 108. The training data generation unit 144 quantifies the evaluation indicators in the evaluation model construction case information 108 and generates training data to be used for training the evaluation model, and manages the generated training data as training data 112. As will be described later, in the above quantification, the training data generation unit 144 uses partner configuration information 109 and case quantification rank information 111.

[0034] The evaluation model construction unit 150 generates an evaluation model using the training data 112 and manages the configuration information of the generated evaluation model (for example, feature variables, weight coefficients of the feature variables, regression equation, regression coefficients, actual machine learning model, etc.) as evaluation model information 106.

[0035] As shown in the figure, the evaluation model construction unit 150 has the functions of a weight normalization unit 151 and an evaluation model generation unit 152. Of these, the weight normalization unit 151 normalizes the weights (importance) of the evaluation indicators managed as evaluation model information 106. The evaluation model generation unit 152 generates an evaluation model using the training data 112 and the normalized weights, and manages the generated model as evaluation model information 106. Note that the type of evaluation model is not necessarily limited, but for example, correlation analysis, regression analysis, multiple regression analysis, factor analysis, structural formula modeling, and logical analysis. It is constructed using various analytical methods such as cause analysis and causal analysis.

[0036] The recommended case presentation unit 160 generates information based on the recommended case information 107 as support information and presents the generated support information to the user. The recommended case presentation unit 160 distinguishes between cases in the recommended case information 107 that have numerical values ​​for the business evaluation items that serve as the objective variable and cases that do not.

[0037] As shown in the figure, the recommended case presentation unit 160 has the functions of a dependent variable calculation unit 161, a case-by-case graph generation unit 162, and a recommended case output unit 163. Of these, the dependent variable calculation unit 161 determines the value of the most important business evaluation item, which will be the dependent variable, by inputting other business evaluation items (explanatory variables) into the evaluation model for cases where there is no numerical value for the most important business evaluation item, which will be the dependent variable. The case-by-case graph generation unit 162 generates a graph (for example, a radar chart with evaluation indicators as axes) that displays the values ​​of each business evaluation item for the cases in the recommended case information 107. The recommended case output unit 163 presents the content of each case in the recommended case information 107 and the generated graph to the user as support information. The recommended case output unit 163 presents the above support information to the user in descending order of the value of the dependent variable (in descending order of effectiveness for the problem).

[0038] The business plan evaluation unit 170 receives the contents of the business plan from the user, inputs the business evaluation items (explanatory variables) of the received business plan into the evaluation model, calculates the predicted value of the effect of the business plan on the issues received from the user (the value of the most important business evaluation item (dependent variable)), and provides the calculated predicted value to the user as support information.

[0039] As shown in the figure, the business plan evaluation unit 170 has the functions of a business plan reception unit 171, a forecast value calculation unit 172, a graph generation unit 173, and a forecast result output unit 174. The business plan reception unit 171 receives the contents of the business plan from the user and manages the received contents as business plan information 113. The forecast value calculation unit 172 predicts the effect on the issue (the value of the most important business evaluation item, which is the dependent variable) by inputting the business evaluation items of the received business plan into the evaluation model. The graph generation unit 173 generates a graph (for example, a radar chart with each business evaluation item as an evaluation axis) that displays the values ​​of each evaluation indicator of the business plan. The forecast result output unit 174 presents the predicted effect (dependent variable), the values ​​of each evaluation indicator, the generated graph, etc., to the user as support information.

[0040] Figure 3 is a flowchart illustrating the main processes performed by the support device 100 (hereinafter referred to as "business plan formulation support process S300"). The business plan formulation support process S300 will be explained below in conjunction with the same figure. It is assumed that, at the start of execution of the business plan formulation support process S300, the information acquisition management unit 120 has already received case information sent from the information collection device 3, and the storage unit 110 has stored the case information 101.

[0041] First, the search area setting unit 125 receives a specification from the user regarding the area (target area) in which the user intends to conduct business (S311).

[0042] Figure 4 shows an example of a screen displayed by the user device 4 when accepting the designation of a target area (hereinafter referred to as the "target area reception screen 400"). As shown in the figure, the example target area reception screen 400 has a target area display field 411, a target area selection field 412, a region selection button 413, and a registration button 414.

[0043] When a user selects a target region from the target region selection field 412 and operates the region selection button 413, the selected target region is displayed in the target region display field 411. When a user operates the registration button 414, the target region displayed in the target region display field 411 is registered with the support device. It will be sent to 100.

[0044] Returning to Figure 3, the search area setting unit 125 then receives the specification of the extraction method for the search target and performs a process (hereinafter referred to as "search target area extraction process S312") to extract the area to be searched (hereinafter referred to as "search target area") based on the target area and the accepted extraction method.

[0045] Figure 5 is a flowchart illustrating the search target area extraction process S312. The search target area extraction process S312 will be explained below in conjunction with this figure.

[0046] First, the search area setting unit 125 receives a specification from the user regarding the method for extracting the search target area (S511), and branches the processing according to the extraction method (S512). The user can specify either a method of extracting the search target area by selecting an area classified according to a pre-set classification criterion (hereinafter referred to as "classification pattern") from the area information managed as area information 102, or a method of extracting the search target area by specifying search conditions. If the user specifies the former method (S512: classification criterion), the search area setting unit 125 executes the processing from S513. On the other hand, if the user specifies the latter method (S512: condition specification), the search area setting unit 125 executes the processing from S521.

[0047] In S513, the search area setting unit 125 accepts the user's specification of the number of classifications.

[0048] Next, the search area setting unit 125 reads the area information 102 (S514), classifies the area according to the specified number of classifications (S515), and manages the classification results in the area classification information 103 (S516).

[0049] Next, the search region setting unit 125 extracts information about regions belonging to the group containing the target region from the regional classification information 103 (S517). After that, the process proceeds to S518.

[0050] In S521, the search area setting unit 125 reads the area information 102 and the area classification information 103.

[0051] Next, the search area setting unit 125 branches the processing according to the search conditions. If the search condition is, for example, "neighboring area" (S522: neighboring area), the search area setting unit 125 identifies areas from the regional classification information 103 where the target area and prefecture match, and extracts information about the identified areas from the regional information 102. If the search condition is, for example, "designated city or core city" (S522: designated city or core city), the search area setting unit 125 identifies areas from the regional classification information 103 where the target area and city classification match, and extracts information about the identified areas from the regional information 102. If the search condition is, for example, "other" (S522: other), the search area setting unit 125 extracts information about areas that match the search conditions specified by the user from the regional information 102. After that, the processing proceeds to S518.

[0052] In S518, the search area setting unit 125 manages the region extracted in any of S517, S523, S524, and S525 as the search target region in the extracted example information 104 (storing the region ID and region name of the extracted region in the corresponding field of the extracted example information 104). The process then proceeds to S313 in Figure 3.

[0053] Figure 6 shows an example of the screen displayed by the user device 4 when it accepts the specification of the method for extracting the search target area (hereinafter referred to as the "search target area extraction setting screen 600"). Example search The target area extraction settings screen 600 includes a target area display field 611, a search condition display field 612, a search condition specification field 613, a selection button 615, a classification number display field 621, a classification number selection field 622, and a registration button 630.

[0054] When a user selects search criteria from the search criteria specification field 613 and operates the select button 615, the selected search criteria are displayed in the search criteria display field 612. When a user selects a number of categories from the number of categories selection field 622 and operates the select button 623, the selected number of categories is displayed in the number of categories display field 621. When a user operates the register button 414, the search criteria displayed in the search criteria display field 612 and the number of categories displayed in the number of categories display field 621 are sent to the support device 100.

[0055] Figure 7 shows an example of regional information 102. As shown in the figure, the example regional information 102 consists of multiple records, each containing items such as prefecture 711, municipality 712, district 713, population 714 (total population, number of elderly people, number of children, etc.), industry 715 (primary industry sales, secondary industry sales, etc.), and geographical characteristics (precipitation, snowfall, etc.).

[0056] Figure 8 shows an example of regional classification information 103. As shown in the figure, the example regional classification information 103 consists of multiple records, each containing the following items: prefecture 811, city / ward / town / village 812, district 813, urban classification 814, and classification pattern 815 (2 classifications, 3 classifications, 4 classifications, 5 classifications, etc.). Each column of the classification pattern 815 stores the group identifier when classified by the corresponding number of classifications.

[0057] Returning to Figure 3, the case extraction unit 135 then extracts case information for the search area from the case information 101 and stores the extracted case information in the corresponding field of the extracted case information 104 (S313).

[0058] Figure 9 shows an example of extracted case information 104. As shown in the figure, the example extracted case information 104 consists of multiple records, each containing the following items: region ID 911, region name 912, issue 913, service 914, customer 915, and business details (business evaluation items) 916 (indicators, years of operation, partners, subsidies, PF (platform), city OS (operating system), privacy risk, etc.).

[0059] Returning to Figure 3, the issue / indicator setting unit 130 then receives the user's specification of the issues and evaluation indicators for the business plan to be formulated, and performs a process to manage the received content as issue / indicator (KPI) information 105 (hereinafter referred to as "issue / indicator (KPI) reception processing S314").

[0060] Figure 10 is a flowchart explaining the issue / key performance indicator (KPI) reception process S314. Below, along with the same diagram, we will explain the issue / key performance indicator (KPI) reception process S314.

[0061] First, the issue / indicator setting unit 130 aggregates the issues in the extracted case information 104 by content (counting the number of issues with common content for each issue) (S1011).

[0062] Next, the issue / metric setting unit 130 generates a screen displaying the issues in descending order of frequency and presents it to the user (S1012).

[0063] Next, the task / metric setting unit 130 receives the task specification from the user (S1013).

[0064] Next, the issue / metric setting unit 130 presents the user with key performance indicators (KPIs) that are associated with the issues specified by the user in the extracted case information 104, and then asks the user for the key performance indicators. (KPI) specification is accepted (S1014, S1015).

[0065] Figure 11 shows the display on user device 4 when accepting the designation of business plan issues and key performance indicators (KPIs). This is an example of the screen used for submitting data (hereinafter referred to as "Issue / Key Performance Indicator (KPI) Submission Screen 1100"). As shown in the figure, the example task / indicator (KPI) reception screen 1100 has a display field for the target region. 1111, Search criteria display area 1112, Issue display area 1121, Issue candidate display area 1122, Cancel button 1123, Add button 1124, Key Performance Indicator (KPI) display area 1131, Indicator (KPI) Candidate display field 1132, Cancel button 1133, Add button 1135, and Register It has a button 1150.

[0066] The target area display field 1111 shows the currently specified target area. The search conditions display field 1112 shows the search conditions displayed in the search conditions display field 612 of the search target area extraction setting screen 600 in Figure 6. When the user selects an issue from the issue candidate display field 1122 and operates the add button 1125, the selected issue is displayed in the issue display field 1121, and the key performance indicators (KPIs) corresponding to the issue displayed in the issue display field 1121 are displayed in the issue / indicator field. The key performance indicator (KPI) information 105 (Figure 12) is used to display the candidate KPIs in the display area 1132 of Figure 11. When a user selects an issue displayed in the issue display area 1121 and operates the cancel button 1123, the selected issue is removed from the issue display area 1121, and the corresponding KPI is removed from the candidate KPI display area 1132 of Figure 11. When a user selects a KPI from the candidate KPI display area 1132 and operates the add button 1135, the selected KPI is displayed in the KPI display area 1131. When a user selects a KPI displayed in the KPI display area 1131 and operates the cancel button 1133, the selected KPI is removed from the KPI display area 1131. When the user operates the registration button 1150, the issues displayed in the issue display area 1121 and the key performance indicators (KPIs) displayed in the key performance indicator (KPI) display area 1131 are sent to the support device 100.

[0067] Returning to Figure 10, the task / indicator setting unit 130 then uses the received indicators (KPIs) in the business plan. The image information is stored in 113 (S1016). The process then proceeds to S315 in Figure 3.

[0068] Figure 12 shows an example of issue / metric (KPI) information 105. As shown in the figure, the example issue / metric (KPI) information 105 consists of multiple records, each having issue 1211 and evaluation metric 1212 as items.

[0069] Figure 13 shows an example of business plan information 113. As shown in the figure, business plan information 113 includes information such as region ID 1311, region name 1312, issue 1313, service 1314, indicator 1315, and business evaluation items 1316 (indicators, years of operation, partners, subsidies, PF city OS, privacy risk, etc.).

[0070] Returning to Figure 3, the case quantification unit 140 then extracts case information with common issues and key performance indicators (KPIs) from the extracted case information 104 as recommended cases, and the extracted recommended cases are listed as recommended case information. The process to be managed as 107 (hereinafter referred to as "case quantification process S315") is performed.

[0071] Figure 14 is a flowchart illustrating the case quantification process S315. The case quantification process S315 will be explained below in conjunction with this figure.

[0072] First, the case quantification unit 140 receives from the user the weights (importance) of the most important evaluation indicator (the evaluation indicator that serves as the dependent variable) and the other evaluation indicators (the evaluation indicators that serve as independent variables), and manages the received weights in the evaluation model information 106 (S1411, S1412).

[0073] Figure 15 shows the relationship between the most important project evaluation item (the item that serves as the dependent variable) and the other project evaluation items. This is an example of a screen displayed by the user device 4 when accepting the specification of weights for each item (hereinafter referred to as the "business evaluation item importance setting screen 1500"). As shown in the figure, the example business evaluation item importance setting screen 1500 has a display field 1511 for the most important business evaluation item, a selection field 1512 for business evaluation items, a selection button 1513, a setting field 1514 for the importance of other business evaluation items, and a registration button 1550.

[0074] When a user selects an evaluation indicator from the business evaluation item selection field 1512 and operates the selection button 1513, the selected business evaluation item is displayed in the display field 1511 for the most important business evaluation item. The user can set the weights of other business evaluation items (items that serve as explanatory variables) in the setting field 1514 for the importance of other business evaluation items. The user can set the weights, for example, by operating a pull-down menu. When the user operates the register button 1550, the weights (importance) of the business evaluation item displayed in the display field 1511 for the most important business evaluation item and the other business evaluation items displayed in the setting field 1514 for the importance of other business evaluation items are sent to the support device 100.

[0075] Returning to Figure 14, the case quantification unit 140 then extracts key performance indicators (KPIs) from the extracted case information 104. (or issues and indicators (KPIs)) extracts case information that is common with the indicators (KPIs) (or issues and indicators (KPIs)) specified by the user as recommended cases (S1413), and the extracted information Manage example information in Recommended Example Information 107 (S1414)

[0076] Figure 16 shows an example of recommended case information 107. As shown in the figure, the example recommended case information 107 consists of multiple records, each containing the following items: region ID 1611, region name 1612, issue 1613, policy / service 1614, customer 1615, and business details 1616 (indicators, years of operation, partners, subsidies, PF city OS, personal information, etc.).

[0077] Returning to Figure 14, the case quantification unit 140 then extracts case information from the recommended case information 107 that contains numerical data for the business evaluation item (dependent variable) that the user considers most important (S1415), and manages the extracted case information in the case information 108 for building the evaluation model (S1416).

[0078] Figure 17 shows an example of case information 108 for building an evaluation model. As shown in the figure, the example case information 108 for building an evaluation model consists of multiple records, each containing the following items: region ID 1711, region name 1712, issue 1713, policy / service 1714, customer 1715, and business details (business evaluation items) 1716 (indicators, years of operation, partners, subsidies, PF city OS, privacy risk, etc.).

[0079] Returning to Figure 14, the subsequent processing S1417 to S1425 is a loop process that sequentially selects case information from the 108 case information for evaluation model construction. Furthermore, the processing S1418 to S1423 in the above process is a loop process that sequentially selects the business content (business evaluation items) for the currently selected case information.

[0080] In S1419, the case quantification unit 140 determines whether the selected business content (business evaluation item) is "partner". If the selected business content (business evaluation item) is "partner" (S1419: YES), the process proceeds to S1420. If the selected business content (business evaluation item) is not "partner" (S1419: NO), the process proceeds to S1422.

[0081] In S1420, the case quantification unit 140 changes the configuration by comparing the content of "Partner" in the selected business content (business evaluation item) with the partner configuration information 109.

[0082] Figure 18 shows an example of partner configuration information 109. Partner configuration information 109 manages information indicating what technologies each company (company name 1811) possesses. The specific technologies are configurations 1812 (communication networks, analytics, data holding, data platforms, data visualization, services, administration, residents / councils, etc.). If a company possesses a particular technology, a "○" is stored in the corresponding configuration column.

[0083] Returning to Figure 14, in S1421, the case quantification unit 140 counts the types of partner configurations.

[0084] The process of S1421 will be explained using the example of "e-city" with region ID "C010" in Figure 17. The partners of "e-city" are "Company A", "Company B", and "Company C". Figure 18 shows the partner configuration information. In 109, "Company A" is described as having "analysis," "data ownership," and "data platform." Company B possesses the technology to develop "data platforms" and "data visualization" technologies. The technology is possessed by "Company C," which has the technology for "services." The technologies possessed by "Company A," "Company B," and "Company C," which are partners of "e-city," are "analysis" and "data storage." There are five types: "Yes", "Data Platform", "Data Visualization", and "Service", resulting in five types of partner configurations for S1421.

[0085] Next, the case quantification unit 140 obtains the rank of the selected case information by comparing the number of components with the case quantification rank information 111 (converting the value of the business content (business evaluation item) "Partner" into a rank) (S1422).

[0086] Figure 19 shows an example of case quantification rank information 111. As shown in the figure, the example case quantification rank information 111 includes information defining the range of evaluation indicators for each rank 1911, such as indicator (improvement rate) 1912, years of continuation 1913, partner composition 1914, number of partners 1915, subsidies (number of cases) 1916, PF city OS 1917, and privacy risk 1918.

[0087] Returning to Figure 14, once the loop processing from S1417 to S1425 is complete, the case quantification unit 140 manages the quantified content in the training data 112. After that, the process proceeds to S316 in Figure 3.

[0088] Figure 20 shows an example of training data 112. As shown in the figure, training data 112 includes values ​​for evaluation indicators 2012 (indicators, years of operation, partners, subsidies, PF city OS, privacy risk, etc.) for each service (business) 2011.

[0089] In the example in Figure 17 where the regional ID is "C010" and the city is "e-city", the improvement rate of the indicators is "3%", the number of years of continuation is "3 years", the partners are "Company A", "Company B", and "Company C", the number of subsidies is "1", the PF / City OS is "City OS implemented", and the privacy is "Used only when provided".

[0090] Once the loop processing in S1417-S1425 of Figure 14 is completed, a rank is obtained based on the case quantification rank information in Figure 19, and as in the example of "monitoring service" in Figure 20, the indicator is "5", the number of years of continuation is "2", the partner configuration is "4", the number of partners is "2", and the subsidy is "2". PF / City OS was ranked as "5", privacy risk as "3", and the business content was ranked as follows: It will be quantified.

[0091] Returning to Figure 3, the evaluation model construction unit 150 then performs a process to generate an evaluation model using the training data 112 (hereinafter referred to as "evaluation model construction process S316"), and manages the configuration information of the generated evaluation model as evaluation model information 106.

[0092] Figure 21 is a flowchart illustrating the evaluation model construction process S316. The evaluation model construction process S316 will be explained below in conjunction with this figure.

[0093] First, the evaluation model construction unit 150 normalizes the weights of the business evaluation items (explanatory variables) (S2111).

[0094] Next, the evaluation model building unit 150 reads the training data 112 (S2112) and assigns weights to the explanatory variables of the training data 112 (S2113).

[0095] Next, the evaluation model construction unit 150 constructs (trains) an evaluation model using the weighted training data 112 (S2114).

[0096] Next, the evaluation model construction unit 150 manages the information of the constructed evaluation model in the evaluation model information 106 (S2115). After that, the process proceeds to S317 in Figure 3.

[0097] Figure 22 shows an example of evaluation model information 106. As shown in the figure, evaluation model information 106 includes information on region ID 2211, region name 2212, issue 2213, service 2214, indicator 2215, importance of business evaluation items 2216 (indicators, years of operation, partners, subsidies, PF city OS, privacy risk, etc.), and evaluation formula 2217.

[0098] Returning to Figure 3, the recommended example presentation unit 160 then performs a process (hereinafter referred to as "recommended example presentation process S317") in which it generates information based on the recommended example information 107 and presents it to the user.

[0099] Figure 23 is a flowchart illustrating the recommended case presentation process S317. The recommended case presentation process S317 will be explained below in conjunction with this figure.

[0100] First, the recommended case presentation unit 160 classifies each of the recommended case information 107 into two groups: group D, which has numerical values ​​for the business evaluation items (dependent variables), and group ND, which does not have numerical values ​​(S2311).

[0101] Next, the recommended case presentation unit 160 retrieves cases from case group D for which numerical values ​​exist (S2312), and obtains the values ​​of the business evaluation items (dependent variables) from each case in case group D (S2313).

[0102] In S2314, the recommended case presentation unit 160 generates information (support information) to present to the user based on the business evaluation items (explanatory variables, dependent variables) of each case. In this embodiment, as an example of support information, the recommended case presentation unit 160 generates a graph of the business evaluation items for each case (for example, a radar chart with each business evaluation item as the evaluation axis).

[0103] In S2315, the recommended case presentation unit 160 outputs information (support information) and graphs for each case in case group D to the screen (business plan evaluation presentation screen 2400) in descending order of the values ​​of the business evaluation items (dependent variables), and presents them to the user.

[0104] Next, the recommended case presentation unit 160 retrieves cases from the ND group, which does not have numerical values ​​(S2316).

[0105] In S2217, the recommended case presentation unit 160 performs the same processing as in S1317 to S1325 of the case quantification processing S315 in Figure 13 for each case, and quantifies the business evaluation items for each case in the case group ND.

[0106] Next, the recommended example presentation unit 160 presents the evaluation model constructed in the evaluation model construction process S316 in Figure 21. The quantified business evaluation items (explanatory variables) for each case are input into the value model to obtain the value of the business evaluation item (dependent variable) (S2218).

[0107] In S2319, the recommended case presentation unit 160 generates information (support information) to present to the user based on the business evaluation items (explanatory variables, dependent variables) of each case in the case group ND.

[0108] In S2320, the recommended case presentation unit 160 outputs information (support information) and graphs for each case in the case group ND to the screen (bottom of the business plan evaluation presentation screen 2400) in descending order of the values ​​of the business evaluation items (dependent variables). The process then proceeds to S318 in Figure 3.

[0109] Figure 24 shows an example of the business plan evaluation presentation screen 2400. As shown in the figure, the example business plan evaluation presentation screen 2400 has a display field for the target area 2411, a display field for the challenges 2421, a display field for the evaluation indicators 2422, a display field for the most important business evaluation item 2423, a display field for the services / measures 2424, a display field for the business evaluation item (dependent variable) 2425, a display field for the graph 2426, and a display field for recommended examples 2427.

[0110] In the recommended examples display section 2427, the recommended examples output by S2315 and S2320 are displayed in descending order of the business evaluation items (dependent variables) that are considered important.

[0111] Returning to Figure 3, the business plan evaluation unit 170 then inputs the business evaluation items (explanatory variables) of the business plan received from the user into the evaluation model to obtain predicted values ​​for the effectiveness of the business plan against the issues received from the user, and performs a process (hereinafter referred to as "business plan evaluation process S318") to provide the obtained predicted values ​​to the user as support information.

[0112] Figure 25 is a flowchart illustrating the business plan evaluation process S318. The following explanation of the business plan evaluation process S318 will be presented in conjunction with this diagram.

[0113] First, the business plan evaluation unit 170 receives input from the user regarding the business plan for the target area (S2511).

[0114] Figure 26 shows an example of a screen (hereinafter referred to as the "business plan input screen 2600") that the business plan evaluation unit 170 presents when receiving input of the contents of a business plan. As shown in the figure, the business plan input screen 2600 has a field for displaying the target area 2611, a field for displaying / changing issues 2621, a field for displaying / changing key performance indicators (KPIs) 2622, and a field for displaying / changing the most important business evaluation item 2 It has section 623 for displaying / changing services / policies, section 2624 for setting business evaluation items, and section 2630 for setting business evaluation items.

[0115] In Figure 26, the target area display field 2611 shows the target area registered in the target area display field 411 of the target area reception screen 400 in Figure 4, and the issue display / change field 2621 in Figure 26 shows the issue registered in the issue display field 1121 of the issue / indicator (KPI) reception screen 1100 in Figure 11, and Figure 2 In the "Display / Change" section 2622 of the "6 Key Performance Indicators (KPIs)" column, the "KPI" registered in the "Display" section 1131 of the "Issues / Key Performance Indicators (KPIs)" reception screen 1100 in Figure 11 is displayed. In the "Display / Change" section 2623 of the "Most Important Business Evaluation Items" column 2623 of Figure 26, the business evaluation items (dependent variables) registered in the "Display" section 1511 of the "Most Important Business Evaluation Items" screen 1500 in Figure 15 are displayed.

[0116] Users can view / modify issues in the Issues View / Modify section 2621, and in the Key Performance Indicators (KPIs) View / Modify section 262 In section 2, select the key performance indicator (KPI), and in section 2623, select the business evaluation item you value most. The business evaluation items (dependent variables) can be changed individually. Also, users can use the service / In the "Display / Change Policy" section 2624, enter the details of the business (services and policies), and in the "Set Business Evaluation Items" section 2630, enter the details of the business evaluation items.

[0117] The business evaluation item setting section 2630 includes a business evaluation item input section 2631, a details input section 2632, and a rank input section 2633. The user enters the business plan or implementation status in the details input section 2632. The details input section 2632 may also be configured so that the user can input content using a pull-down menu. The user sets the business evaluation rank in the rank input section 2633. The rank input section 2633 may be automatically configured to display a value based on the content in the details input section 2632.

[0118] Returning to Figure 25, the business plan evaluation unit 170 then manages the contents of the received business plan in the business plan information 113 (S2512).

[0119] Next, the business plan evaluation unit 170 uses an evaluation model to obtain predicted values ​​for the effects of the business plan (S2513). Specifically, the business plan evaluation unit 170 inputs the values ​​of the business evaluation items (explanatory variables) of the business plan received in S2511 into the evaluation model to obtain the business evaluation items (dependent variables) and obtains predicted values ​​for them.

[0120] Next, the business plan evaluation unit 170 generates a graph (for example, a radar chart with each of the business evaluation items (dependent variable, independent variable) as an evaluation axis) as supporting information, which displays the values ​​of the business evaluation items (dependent variable, independent variable) of the business plan (S2514).

[0121] Next, the business plan evaluation unit 170 generates and outputs (presents to the user) a screen (the top of the business plan evaluation presentation screen 2400) containing the generated support information (S2515). Next, the process proceeds to S319 in Figure 3.

[0122] In Figure 24, the business plan evaluation presentation screen 2400 displays the predicted value of the business plan's effect, obtained using the evaluation model, in the display field 2425 for the most important business evaluation item (dependent variable). The graph display field 2426 displays a graph (radar chart) showing the values ​​of the business evaluation items (dependent variable, independent variable) of the business plan.

[0123] Returning to Figure 3, the support device 100 then waits for user instructions to change the business plan, evaluation model, or target area (S319-S321). If an instruction to change the business plan is received (S319: YES), the support device 100 executes the process from S318. If an instruction to change the evaluation model is received (S320: YES), the support device 100 executes the process from S315. If an instruction to change the target area is received (S321: YES), the support device 100 executes the process from S315.

[0124] As described above, the business plan development support system 1 of this embodiment presents candidate challenges in the target area, presents effective examples for solving the challenges in the target area, conducts a business evaluation that takes into account the business evaluation items that are important in the target area, presents recommended examples in the order of evaluation, and predicts the business in the target area, thereby enabling the efficient generation of a business plan suitable for the region.

[0125] Furthermore, the business plan development support system 1 accepts the user's specification of a method for extracting search target areas (similar areas) to find similar cases for the target area. According to the accepted extraction method, it extracts search target areas from regional information and extracts case information as recommended case information from the extracted case information. As a result, the user can refer to cases in similar areas that are similar to the target area and efficiently obtain case information.

[0126] Furthermore, the business plan development support system 1 uses the above extraction method, for example, a pre-set portion You can specify methods for extracting search target regions (similar regions) by selecting regions classified according to similar criteria, or by specifying search conditions.

[0127] Furthermore, the business plan development support system 1 can suggest potential challenges and key performance indicators (KPIs) for the target region based on past case studies from similar regions extracted as described above.

[0128] Furthermore, the business plan development support system 1 searches for target areas that match the key performance indicators (KPIs) of the target region. By extracting past case studies (recommended case information) from the region (similar areas), ranking the cases based on business evaluation items, and quantitatively evaluating them, the businesses of past cases are quantitatively evaluated based on key performance indicators (KPIs). It is possible.

[0129] Furthermore, the business plan development support system 1 predicts and outputs the values ​​of the target variables of the business plan using an evaluation model trained on learning data generated based on recommended case information. Therefore, users can predict the effectiveness of the business plan in addressing the problems it aims to solve.

[0130] Furthermore, the business plan development support system 1 accepts the specification of the weight (importance) of each business evaluation item and generates an evaluation model that reflects the accepted weights, so that the user can appropriately adjust the impact of the business evaluation items on the predicted values ​​of the evaluation model.

[0131] Furthermore, the business plan development support system 1 uses the following indicators (KPIs) as the target variables in the recommended case information. If there is no value for the target variable (KPI), the evaluation model is used to determine the value of the key performance indicator (KPI). Even if the recommended case information does not contain a value for the evaluation metric used as the target variable, training data can still be generated.

[0132] Furthermore, the business plan development support system 1 generates and outputs a screen that displays information based on recommended case studies, sorted in order of effectiveness for the business plan. This allows users to efficiently search for case study information that they should refer to.

[0133] Furthermore, the business plan development support system 1 outputs a screen that displays a radar chart using the explanatory variables of the business plan's evaluation indicators, which are input into the evaluation model, as the evaluation axis. This allows the user to visually understand the impact of each explanatory variable of the evaluation indicators.

[0134] Thus, the business plan formulation support system 1 of this embodiment can support the work involved in formulating a business plan that utilizes data such as open data.

[0135] <Example of an information processing device> Figure 27 shows an example of an information processing device (computer) used to realize the components of the business plan development support system 1 (support device 100, information collection device 3, user device 4).

[0136] The illustrated information processing device 10 comprises a processor 11, main memory 12, auxiliary storage device 13 (external storage device), input device 14, output device 15, and communication device 16. These are connected via a bus, communication cable, etc. Examples of information processing devices 10 include personal computers, server devices, smartphones, tablets, office computers, and general-purpose computers (mainframes).

[0137] The information processing device 10 may be implemented, in whole or in part, using virtual information processing resources provided using virtualization technology, process space isolation technology, etc., such as a virtual server provided by a cloud system. All or part of the functions provided may be implemented, for example, by services provided by the cloud system via an API (Application Programming Interface), etc. All or part of the functions provided by the information processing device 10 may be, for example, SaaS (Software as a Service), PaaS (Platform as a Service), IaaS (Infrastructure as a Service). This may also be implemented using methods such as (as a Service).

[0138] Processor 11 includes, for example, a CPU (Central Processing Unit), an MPU (Micro Processing Unit), a GPU (Graphics Processing Unit), and an FPGA (Field Programmable Graphite Array). It is composed of components such as a Gate Array, an ASIC (Application Specific Integrated Circuit), and an AI (Artificial Intelligence) chip.

[0139] The main memory 12 is a device used by the processor 11 when executing programs, and is, for example, ROM (Read Only Memory), RAM (Random Access Memory), or non-volatile memory (NVRAM (Non-Volatile RAM)). The various functions realized in each component of the business plan development support system are realized by the respective processor 11 reading programs and data stored in the auxiliary memory 13 into the main memory 12 and executing them.

[0140] The auxiliary storage device 13 is a device for storing programs and data, such as an SSD (Solid State Drive), a hard disk drive, or an optical storage device (CD (Compact Disc)). The auxiliary storage device 13 can be composed of a DVD (Digital Versatile Disc), a storage system, an IC card, a reader / writer for non-temporary recording media such as SD cards and optical recording media, and a non-temporary storage area of ​​a cloud server. The auxiliary storage device 13 can read programs and data from non-temporary recording media or other information processing devices equipped with non-temporary storage devices via a recording media reader or a communication device 16. Programs and data stored in the auxiliary storage device 13 are read into the main memory 12 as needed.

[0141] The input device 14 is an interface that accepts information input from an external source, and can be, for example, a keyboard, mouse, touch panel, card reader, pen-input tablet, or voice input device.

[0142] The output device 15 is an interface for outputting various information such as processing progress and processing results to the outside. The output device 15 may be, for example, a display device that visualizes the above-mentioned information (LCD monitor, LCD (Liquid Crystal Display), graphics card, etc.), a device that converts the above-mentioned information into sound (speaker, etc.), or a device that converts the above-mentioned information into text (printer, etc.). For example, the information processing device 10 may be configured to input and output information to and from other devices via the communication device 16.

[0143] The input device 14 and the output device 15 constitute a user interface that enables interactive processing with the user (receiving information, providing information, etc.).

[0144] The communication device 16 is a device that enables communication with other devices. The communication device 16 is a wired or wireless communication interface that enables communication with other devices via a communication network, and is, for example, a NIC (Network Interface Card), a wireless communication module, a USB module, etc.

[0145] Furthermore, the information processing device 10 may have, for example, an operating system, a file system, a DBMS (Database Management System) (relational database, NoSQL, etc.), a KVS (Key-Value Store), etc. installed on it.

[0146] Although embodiments have been described above, the present invention is not limited to the embodiments described above, and various modifications are included, and it is not necessarily limited to having all the configurations described. Furthermore, it is possible to replace parts of the configuration of one embodiment with the configuration of another embodiment, or to add configurations from other embodiments to the configuration of one embodiment. In addition, it is possible to add, delete, or replace parts of the configuration of each embodiment with other configurations.

[0147] For example, in the search target area extraction process S312 in Figure 5, regional information is read (S514) and the regions are classified according to the specified number of classifications (S515). However, it is also possible to classify regions using classification patterns stored in the regional classification information 103 without reading regional information.

[0148] Furthermore, in the issue / key performance indicator (KPI) reception process S314 in Figure 10, candidate issues and key performance indicators (KPIs) are presented to the user (S1011, S1012, S1014), and input from the user is accepted. However, instead of presenting candidate issues and key performance indicators (KPIs) to the user, it is possible to directly receive issues and key performance indicators from the user. You may allow it to accept input.

[0149] Furthermore, in the business plan evaluation presentation screen 2400 in Figure 24, the recommended cases are displayed as a mix of case group D, which has numerical values ​​for the business evaluation items (dependent variables), and case group ND, which does not. However, it would be better to display case group D, which has numerical values ​​for the business evaluation items (dependent variables), and case group ND, which does not, separately. [Explanation of Symbols]

[0150] 1 Business plan development support system, 2 Information provision device, 3 Information collection device, 4 User device, 5 Communication network, 100 Support device, 101 Case information, 102 Regional information, 103 Regional classification information, 104 Extracted case information, 105 Issue / indicator (KPI) information, 106 Evaluation model information, 107 Recommended case information, 108 Case information for building evaluation models, 109 Partner composition information, 111 Case study quantification rank information, 112 Learning data, 113 Business plan information, 120 Information acquisition management department, 125 Search area setting department, 126 Target area / extraction method reception department, 127 Search area selection department, 130 Issue / indicator setting department, 131 Issue / indicator (KPI) reception department, 132 Issue candidate generation department, 135 Case study extraction department, 136 Search area S300 Case Extraction Unit, S312 Case Extraction Processing Unit, S314 Case Quantification Unit, S315 Business Evaluation Item Importance Reception Unit, S316 Recommended Case Extraction Unit, S317 Case Extraction Unit for Evaluation Model Construction, S316 Training Data Generation Unit, S317 Evaluation Model Construction Unit, S316 Recommended Case Presentation Unit, S317 Target Variable Calculation Unit, S316 Case-Specific Graph Generation Unit, S317 Recommended Case Output Unit, S300 Business Plan Evaluation Unit, S312 Business Plan Reception Unit, S314 Predicted Value Calculation Unit, S315 Graph Generation Unit, S316 Prediction Result Output Unit, S300 Business Plan Formulation Support Processing, S312 Search Target Area Extraction Processing, S314 Issue / Indicator (KPI) Reception Processing, S315 Case Quantification Processing, S316 Evaluation Value model construction process, S317 Recommended case presentation process, S318 Business plan evaluation process

Claims

1. A system that supports the development of business plans, It is configured using an information processing device having a processor and a memory device, It stores multiple pieces of information, including regional information that shows the composition of a region, and case information that shows examples of projects planned for each region. We accept the designation of the target area, which is the area covered by the business plan. We accept the specification of the method for extracting the search target area, which is the area to be searched for in the aforementioned target area. The search target region is extracted from the regional information according to the extraction method described above. The aforementioned case information for the search target area is obtained as extracted case information. We obtain indicators of the effectiveness of the aforementioned business plan in addressing the issues that the aforementioned business plan aims to solve. From the extracted case information, case information that shares the same indicator is extracted as recommended case information. Output the aforementioned recommended case information. Business plan development support system.

2. A business plan development support system according to claim 1, The values ​​of each of the multiple business evaluation items, which represent information indicating the business content of the recommended case information, are obtained, and training data is generated with one of the values ​​of the business evaluation items as the dependent variable and the other business evaluation items as independent variables. An evaluation model, which is a machine learning model trained using the aforementioned training data, is generated. The system generates and outputs the value of the target variable obtained by inputting the values ​​of the business evaluation items in the business plan as explanatory variables into the evaluation model. Business plan development support system.

3. A business plan development support system according to claim 2, The training data is generated using the aforementioned recommended example information, which contains the numerical value of the target variable. Business plan development support system.

4. A business plan development support system according to claim 2, The values ​​of the aforementioned business evaluation items are quantified, and the learning data is generated using the quantified values ​​of the aforementioned business evaluation items. Business plan development support system.

5. A business plan development support system according to claim 2, We accept the designation of the weights for each of the aforementioned business evaluation items. The evaluation model is generated by reflecting the weights received. Business plan development support system.

6. A business plan development support system according to claim 2, If the value of the business evaluation item used as the dependent variable is not available in the recommended case information, the value of the business evaluation item used as the dependent variable is obtained by inputting the value of the business evaluation item used as the independent variable into the evaluation model, and the training data is generated using the obtained value. Business plan development support system.

7. A business plan development support system according to claim 1, The system generates and outputs a screen displaying the aforementioned recommended case information, sorted in order of the effectiveness of the business plan. Business plan development support system.

8. A business plan development support system according to claim 2, A screen displaying the generated value of the target variable is generated and output. Business plan development support system.

9. A business plan development support system according to claim 8, The system generates and outputs a screen displaying a radar chart with the explanatory variables of the business evaluation items of the business plan input into the evaluation model as evaluation axes. Business plan development support system.

10. A business plan development support system according to claim 1, The values ​​of the business evaluation items, which are information indicating the business content of the recommended case information, are output as the recommended case information. Business plan development support system.

11. A business plan development support system according to claim 1, The method for extracting the search target area is either a method of extracting the search target area by selecting a region classified according to a pre-set classification criterion, or a method of extracting the search target area by specifying search conditions. Business plan development support system.

12. A method to support the development of a business plan, An information processing device having a processor and a memory device, A step to store multiple pieces of information: regional information, which is information that shows the composition of a region, and case information, which is information about projects planned for each region. The step of accepting the designation of the target area, which is the area covered by the business plan. A step of receiving a specification for the method of extracting the search target area, which is the area to be searched for in the aforementioned target area, A step of extracting the target area from the regional information according to the extraction method described above, A step of obtaining the aforementioned case information of the search target area as extracted case information, A step of obtaining indicators of the effectiveness of the business plan for addressing the issues to be resolved by the business plan. The steps include: extracting case information with common indicators from the extracted case information as recommended case information; and Steps to output the aforementioned recommended case information, A method for supporting business plan development and implementation.

13. A method for supporting business plan formulation according to claim 12, The aforementioned information processing device The steps include obtaining the values ​​of each of several business evaluation items, which are information indicating the business content of the recommended case information, and generating training data in which one of the values ​​of the business evaluation items is used as the dependent variable and the other business evaluation items are used as independent variables, The steps include generating an evaluation model, which is a machine learning model trained using the aforementioned training data, and A step of generating and outputting the value of the objective variable obtained by inputting the values ​​of the business evaluation items of the business plan as explanatory variables into the evaluation model. A method for further implementing and supporting business plan development.

14. A method for supporting business plan formulation according to claim 13, The information processing device generates the learning data using the example information from the recommended example information that contains the numerical value of the target variable. A method for further implementing and supporting business plan development.

15. A method for supporting business plan formulation according to claim 13, The information processing device quantifies the values ​​of the business evaluation items in the recommended case information, and generates the learning data using the quantified values ​​of the business evaluation items. A method for further implementing and supporting business plan development.

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