Title of invention: evaluation device, evaluation method and evaluation program
Capture by reference
[0001]
　This application claims the priority of Japanese Patent Application No. 2019-23333, which is a Japanese application filed on December 24, 2019, and incorporates it into this application by referring to its contents.
Technical field
[0002]
　The present invention relates to an evaluation device, an evaluation method and an evaluation program for evaluating data.
Background technology
[0003]
　The current water supply business faces various issues such as financial pressure due to the renewal of aging facilities, a shortage of human resources due to the retirement of skilled staff, and a decrease in income due to a decrease in water demand. In order to carry out sustainable management, it is necessary to review the business content, business method, and management system while dealing with these issues. However, there are a huge number of indicators to be confirmed in order to appropriately review the business content, method and operation system. Furthermore, the business data required for business rationalization tends to be owned and used by each department involved in the business. Therefore, information sharing, decision-making based on shared information, and operational efficiency are not always performed well.
[0004]
　Further, Patent Document 1 below discloses data analysis for evaluating a plurality of target data. In this data analysis, the assessment corresponds to the relevance of each subject data to a given case. An index that enables the ordering of a plurality of target data is generated by evaluation, and the index changes based on the input given by the user. The order of the plurality of target data changes according to the index that changes based on the input. The input classifies reference data different from a plurality of target data based on the relationship between the reference data and a predetermined case. The classification is divided into a plurality of classification information according to the content of the reference data, and at least one of the plurality of classification information is added to the reference data by input. Patent Document 1 extracts from the reference data a pattern in which the reference data is characterized according to the classification information given by input. In Patent Document 1, an index is determined by evaluating the relationship between the target data and a predetermined case based on the extracted pattern, the determined index is set as the target data, and a plurality of target data are set according to the index. It is ordered and a plurality of ordered target data are notified to the user.
Prior art literature
Patent documents
[0005]
Patent Document 1: International Publication WO2016 / 157467A
Outline of the invention
Problems to be solved by the invention
[0006]
　However, it is not possible to know which business index is suitable for which input condition or evaluation condition without calculating the business index. In this case, the larger the number of calculation results of the business index, the more difficult it is to present it to the user. In addition, the larger the number of calculation results of business indicators, the more difficult it is to grasp which business indicators are useful.
[0007]
　An object of the present invention is to efficiently narrow down useful business indicators.
Means to solve problems
[0008]
　The evaluation device according to one aspect of the invention disclosed in the present application is an evaluation device having a processor for executing a program and a storage device for storing the program, and is a plurality of business indexes including business index items related to population. It is possible to access a database that stores the value of the item for each business entity, and the processor with the designated business entity based on the acquisition process for acquiring the evaluation viewpoint of the business entity and the value of the business index item related to the population. Each of the designated business entity and the same category business entity specified by the specific process based on the specific process for specifying the same category business entity classified into the same scale category and the evaluation viewpoint acquired by the acquisition process. The extraction process for extracting the values ​​of the plurality of business index items from the database and the calculation process for calculating the values ​​of the plurality of business indicators using the values ​​of the plurality of business index items extracted by the extraction process. And, the selection process of selecting the combination of the values ​​of the same business index for each of the designated business entity and the same category business entity calculated by the calculation process into output targets or non-output targets based on a predetermined evaluation standard. And an output process of outputting a combination of values ​​selected for the output target by the sort process.
[0009]
　An evaluation device according to another aspect of the invention disclosed in the present application is an evaluation device having a processor for executing a program and a storage device for storing the program, and the business entity sets values ​​of a plurality of business index items. The database that is stored for each can be accessed, and the processor has a specific process that identifies a designated classified business entity that has been classified and designated based on an evaluation viewpoint based on the business scale of the business entity, and a first business index and a second business. For each of the selection process that accepts the selection of the index and the designated category business entity specified by the specific process, the business required to calculate the values ​​of the first business index and the second business index selected by the selection process. Using the extraction process for extracting the value of the index item from the database and the value of the business index item extracted by the extraction process, the value of the first business index and the value of the second business index are classified into the designated category. It is characterized by executing a calculation process calculated for each business entity and an output process for outputting the calculation result by the calculation process.
Effect of the invention
[0010]
　According to a typical embodiment of the present invention, useful business indicators can be efficiently narrowed down. Issues, configurations and effects other than those described above will be clarified by the description of the following examples.
A brief description of the drawing
[0011]
FIG. 1 is a block diagram showing a hardware configuration example of an evaluation device.
FIG. 2 is an explanatory diagram showing an example of a water quality operation management DB.
[Fig. 3] Fig. 3 is an explanatory diagram showing an example of a water quality facility maintenance DB.
FIG. 4 is an explanatory diagram showing an example of a water supply operation management DB.
FIG. 5 is an explanatory diagram showing an example of a water supply operation management DB.
FIG. 6 is an explanatory diagram showing an example of a water supply facility maintenance DB.
FIG. 7 is an explanatory diagram showing an example of a financial DB.
FIG. 8 is an explanatory diagram showing an example of an organization / human resources DB.
FIG. 9 is an explanatory diagram showing an example of a communication DB.
FIG. 10 is an explanatory diagram showing an example of a profile DB.
FIG. 11 is an explanatory diagram showing an example of a related information DB.
[Fig. 12] Fig. 12 is Table 1 summarizing the calculation contents of business index values.
[Fig. 13] Fig. 13 is Table 2 summarizing the calculation contents of business index values.
[Fig. 14] Fig. 14 is Table 3 summarizing the calculation contents of business index values.
[Fig. 15] Fig. 15 is Table 4 summarizing the calculation contents of business index values.
[Fig. 16] Fig. 16 is a table 5 summarizing the calculation contents of business index values.
[Fig. 17] Fig. 17 is Table 6 summarizing the calculation contents of business index values.
[Fig. 18] Fig. 18 is a table 7 summarizing the calculation contents of business index values.
[Fig. 19] Fig. 19 is Table 8 summarizing the calculation contents of business index values.
[Fig. 20] Fig. 20 is a table 9 summarizing the calculation contents of business index values.
FIG. 21 is an explanatory diagram showing an example of an input screen.
FIG. 22 is an explanatory diagram showing an output screen example 1 of secular variation.
FIG. 23 is an explanatory diagram showing an output screen example 2 of secular variation.
FIG. 24 is an explanatory diagram showing an example 3 of a secular variation output screen.
FIG. 25 is an explanatory diagram showing an example 4 of an output screen of secular variation.
FIG. 26 is an explanatory diagram showing an example 5 of a secular variation output screen.
FIG. 27 is an explanatory diagram showing an output screen example 1 of a single business entity.
FIG. 28 is an explanatory diagram showing an output screen example 2 of a single business entity.
FIG. 29 is an explanatory diagram showing an output screen example 3 of a single business entity.
FIG. 30 is an explanatory diagram showing an output screen example 4 of a single business entity.
FIG. 31 is an explanatory diagram showing an output screen example 5 of a single business entity.
FIG. 32 is an explanatory diagram showing an output screen example 6 of a single business entity.
[FIG. 33] FIG. 33 is an explanatory diagram showing an example of an output screen of a division.
FIG. 34 is a flowchart 1 showing an example of an evaluation processing procedure by an evaluation device.
FIG. 35 is a flowchart 2 showing an example of an evaluation processing procedure by an evaluation device.
FIG. 36 is a flowchart 3 showing an example of an evaluation processing procedure by an evaluation device.
FIG. 37 is a flowchart 4 showing an example of an evaluation processing procedure by an evaluation device.
Embodiment for carrying out the invention
[0012]
　In this embodiment, for example, utilization of accumulated business-related data, rapid calculation of business indicators using business-related data, evaluation of the business indicators, and more specifically, indicators that require countermeasures are overlooked. Comprehensive evaluation such as whether or not it is done and the evaluation device that executes it will be described.
[0013]
　This evaluation device automatically analyzes the attributes of the business entity to be evaluated, and calculates a business index for comprehensive analysis, comparison, and evaluation. In addition, the evaluation device automatically analyzes the changes over time in the business indicators of the business entity and the attributes of the business entity to be evaluated, in addition to comparing the business indicators with the average values ​​of the business entities nationwide, and obtains the same attributes. Perform analysis, comparison, and evaluation with the business indicators of the business entity you own.
[0014]
　As a result, in addition to comparison with the average value of business entities nationwide, it is possible to analyze, compare, and evaluate indicators with large changes over time and indicators of business entities with the same attributes. Therefore, in addition to the comparison using only the designated index, it is possible to comprehensively suppress the oversight of information. Hereinafter, the evaluation device according to this embodiment will be described with reference to the attached drawings. In this embodiment, the data of the business related to water will be used for explanation, but the target business is not limited to water, and may be a business related to other resources. A business entity is an entity that conducts a business, for example, a local government such as a prefecture or a municipality, or a corporate group that undertakes the business of a plurality of local governments.
[0015]
　
　FIG. 1 is a block diagram showing a hardware configuration example of the evaluation device. The evaluation device 100 includes a processor 101, a storage device 102, an input device 103, an output device 104, and a communication interface (communication IF) 105. The processor 101, the storage device 102, the input device 103, the output device 104, and the communication IF 105 are connected by the bus 106. The processor 101 controls the evaluation device 100. The storage device 102 serves as a work area for the processor 101. Further, the storage device 102 is a non-temporary or temporary recording medium for storing various programs and data. Examples of the storage device 102 include a ROM (Read Only Memory), a RAM (Random Access Memory), an HDD (Hard Disk Drive), and a flash memory. The input device 103 inputs data. The input device 103 includes, for example, a keyboard, a mouse, a touch panel, a numeric keypad, and a scanner. The output device 104 outputs data. The output device 104 includes, for example, a display, a printer, and a speaker. The communication IF 105 connects to the network and transmits / receives data.
[0016]
　Further, the storage device 102 is, for example, a water quality operation management DB 121, a water quality facility maintenance DB 122, a water supply operation management DB 123, a water supply facility maintenance DB 124, a financial DB 125, an organization / human resources DB 126, a communication DB 127, and a profile. The DB 128 and the related information DB 129 are stored. At least one of these DB groups 120 may be stored in the storage device 102 of another computer accessible by the communication IF 105 by the evaluation device 100.
[0017]
　
　Next, the above-mentioned DB group 120 will be described. The remaining DB of the DB group 120 excluding the related information DB 129 has a subclass 201 and a business index item 202. The business index item 202 is a parameter used for calculating the business index value in the corresponding subclass 201. For the DB having only one sub-category 201, the sub-category 201 is omitted. In each of the residual DBs, the value of the business index item 202 for each year is stored for each local government.
[0018]
　FIG. 2 is an explanatory diagram showing an example of the water quality operation management DB 121. The water quality operation management DB 121 is a database for managing the operation of water quality. In the water quality operation management DB 121, the water quality operation management is divided into water quality management, facility management, and accident disaster countermeasures according to the subclass 201. In the case of the business index item 202 of the water quality operation management DB 121, for example, the total residual chlorine concentration and the number of times the residual chlorine is measured are used for calculating the business index value of the average residual chlorine concentration.
[0019]
　FIG. 3 is an explanatory diagram showing an example of the water quality facility maintenance DB 122. The water quality facility maintenance DB 122 is a database for maintaining water quality facilities such as the Waterworks Bureau. In the case of the business index item 202 of the water quality facility maintenance DB 122, for example, the number of lead water supply pipes used and the number of water supply cases are used in the calculation of the business index value of the lead water supply pipe ratio.
[0020]
　Next, the water supply operation management DB 123 will be described. The water supply operation management DB 123 is a database for managing the operation of supplying water. Since the number of business index items 202 of the water supply operation management DB 123 is large, the water supply operation management DB 123A and 123B will be described separately for convenience.
[0021]
　FIG. 4 is an explanatory diagram showing an example of the water supply operation management DB 123A. In the case of the business index item 202 of the water supply operation management DB 123A, for example, the self-owned water source water amount and the total water source water amount are used for the calculation of the business index value called the self-owned water source ratio.
[0022]
　FIG. 5 is an explanatory diagram showing an example of the water supply operation management DB 123B. In the case of the business index item 202 of the water supply operation management DB 123B, for example, the number of water purification plant shutdown accidents and the number of water purification plants for 10 years are used for calculating the business index value of the water purification plant accident ratio.
[0023]
　FIG. 6 is an explanatory diagram showing an example of the water supply facility maintenance DB 124. The water supply facility maintenance DB 124 is a database for managing the operation of supplying water. In the case of the business index item 202 of the water supply facility maintenance DB 124, for example, the ductile cast iron pipe extension, the steel pipe extension and the pipeline extension are used in the calculation of the business index value of the ductile cast iron pipe / steel pipe ratio.
[0024]
　FIG. 7 is an explanatory diagram showing an example of the financial DB 125. The financial DB 125 is a database for performing office work related to finance. In the case of the business index item 202 of the financial DB 125, for example, the operating revenue, the contracted construction revenue, the operating cost and the contracted construction cost are used in the calculation of the business index value called the operating balance ratio.
[0025]
　FIG. 8 is an explanatory diagram showing an example of the organization / human resources DB 126. The organization / human resources DB 126 is a database for managing the organization and human resources. In the case of the business index item 202 of the organization / human resources DB 126, for example, the number of qualifications related to water supply technology acquired by the staff and the total number of staff are used to calculate the business index value of the degree of qualification acquisition related to water supply technology.
[0026]
　FIG. 9 is an explanatory diagram showing an example of the communication DB 127. Communication DB 127 is a database for managing communication with visitors. In the case of the business index item 202 of the communication DB 127, for example, the number of copies distributed and the number of water supply cases of the public relations magazine are used for calculating the business index value of the degree of provision of information by the public relations magazine.
[0027]
　FIG. 10 is an explanatory diagram showing an example of the profile DB 128. The profile DB 128 is a database for managing the profile of the target (system or regional condition) specified by the division. In the case of the business index item 202 of the profile DB 128, for example, the purified water receiving amount and the annual water distribution amount are used for calculating the business index value called the purified water receiving rate.
[0028]
　FIG. 11 is an explanatory diagram showing an example of the related information DB 129. The related information DB 129 is a database that defines the wide area business entity 1102 existing in the prefecture 1101 and the local government (hereinafter, related local government) 1103 related to the wide area business entity 1102. The wide-area business entity 1102 is a business entity that undertakes the business of the plurality of related local governments 1103 across a plurality of related local governments 1103, and includes, for example, a corporate group or a regional union. When the wide area business entity 1102 is selected, the value of the business index item 202 is the total value of the business index item 202 of each of the plurality of related local governments corresponding to the wide area business entity 1102.
[0029]
　Further, when one local government is selected, if the local government corresponds to the related local government 1103, the evaluation device 100 may specify the corresponding wide area business entity 1102. In this case, the evaluation device 100 may use the total value of the business index item 202 of each of the plurality of related local governments corresponding to the wide area business entity 1102 instead of the value of the business index item 202 of the local government.
[0030]
　 Next, a calculation example of business index value will be described. The evaluation device 100 calculates the values ​​of various business indexes by substituting the values ​​of the business index item 202 into the calculation formula corresponding to the business index. Tables 12 to 19 summarize the calculation contents of the business index values. The evaluation device 100 calculates various business index values ​​according to the contents of FIGS. 12 to 19.
[0031]
　12 to 20 are Tables 1 to 9 summarizing the calculation contents of the business index values. The evaluation device 100 executes the evaluation process according to Tables 1 to 9. DB classification 1201 defines which database the subclass 201 is classified into. For example, when the DB classification 1201 is "water quality operation management", each business index value of the corresponding subclass 201 "water quality management", "facility management", and "accident disaster countermeasures" is the business of the water quality operation management DB. It is calculated using the value of the index item 202.
[0032]
　The business index 1202 is an evaluation index defined by the calculation formula 1203 for quantifying the target business. The calculation formula 1203 is a calculation formula for calculating the corresponding business index. The unit 1204 is a fixed quantity that serves as a reference for the value calculated by the formula 1203.
[0033]
　
　Next, an input screen example and an output screen example of the evaluation device 100 will be described with reference to FIGS. 21 to 33. The input screen example and the output screen example shown in FIGS. 21 to 33 may be displayed on a display which is an example of the output device 104 shown in FIG. 1, and the evaluation device 100 of another computer accessible by the communication IF 105 may be displayed. It may be displayed on the output device 104.
[0034]
　FIG. 21 is an explanatory diagram showing an example of an input screen. The input screen 2100 has a single business entity radio button 2101, a local input field 2111, a prefectural input field 2112, a city / ward / town / village input field 2113, a secular change radio button 2114, the same category business entity radio button 2115, a comparison base year pull-down 2116, and a comparison base year pull-down 2116. Includes a classification radio button 2102, a water source classification input field 2121, a water supply population size classification input field 2122, a revenue water density classification input field 2123, a check box 2124, and an execution button 2103.
[0035]
　The stand-alone entity radio button 2101 is a radio button for selecting the evaluation of the stand-alone entity. When the independent business unit radio button 2101 is selectively input, the selection input of the division radio button 2102 is canceled.
[0036]
　The local input field 2111 is an input field that accepts input of local business entity names such as Hokkaido, Tohoku, Kanto, Chubu, Kansai, Chugoku, Shikoku, Kyushu, and Okinawa. It may be a pull-down format in which the names of these local businesses can be selected.
[0037]
　The prefecture input field 2112 is an input field that accepts the input of the business entity name of the prefecture. It may be a pull-down format in which the business entity names of these prefectures can be selected.
[0038]
　The city / ward / town / village input field 2113 is an input field for accepting input of the business entity name of the city / ward / town / village. It may be a pull-down format in which the business entity names of these cities, wards, towns and villages can be selected.
[0039]
　The secular variation radio button 2114 is a radio button for selecting an evaluation based on secular variation. The number of years of secular variation is set to a predetermined number of years, for example, 5 years. The number of years of secular variation can be changed using a setting screen (not shown). When the secular change radio button 2114 is selectively input, the selection input of the same category business entity radio button 2115 is canceled.
[0040]
　The category business entity radio button 2115 is a radio button for selecting a comparative evaluation with the category entity. When the radio button 2115 of the same category is selectively input, the selection input of the aging radio button 2114 is canceled.
[0041]
　The comparison base year pull-down 2116 is a pull-down in which the comparison base year can be selected. The comparative reference year is the year that becomes the standard for secular variation or comparison by the same category entity. The evaluation device 100 is used to display the business index item 202 in the comparison base year from the DB group 120 for the business entity (hereinafter referred to as the designated business entity) input in the local input field 2111, the prefecture input field 2112, or the city / ward / town / village input field 2113. The value of will be extracted.
[0042]
　The classification radio button 2102 is a radio button for selecting the evaluation of the business entity classified by the business scale such as the water source, the water supply population size, and the revenue water volume density. When the division radio button 2102 is selectively input, the selection input of the independent business radio button 2101 is canceled.
[0043]
　The water source classification input field 2121 is an input field for accepting input of the water source classification. It may be a pull-down format in which the classification by water source can be selected. The classification by water source focuses on the capital cost, which accounts for a large proportion of the cost of the water supply business, and is a classification based on the type of water source, which is a major factor in determining the scale. For example, a business whose main water source is a dam (identification information is "A"), a business whose main water source is receiving water (identification information is "B"), and surface water (excluding dams) as its main water source. There are businesses (identification information is "C") and other businesses (identification information is "D") whose main water source is other (ground water, underflow water, etc.).
[0044]
　The water supply population size classification input field 2122 is an input field for accepting input of the water supply population size classification. It may be a pull-down format in which the classification by water supply population size can be selected. The water supply population size classification is a classification that divides the population living in the water supply area and receiving water supply by water supply by size. For example, cities and designated cities, businesses with a water supply population of 300,000 or more (identification information is "1"), businesses with a water supply population of 150,000 or more and less than 300,000 (identification information is "2"), water supply population of 100,000. Businesses with more than 150,000 people (identification information is "3"), businesses with water supply population of 50,000 or more and less than 100,000 people (identification information is "4"), businesses with water supply population of 30,000 or more and less than 50,000 people (identification information is "4") Identification information is "5"), businesses with a water supply population of 15,000 or more and less than 30,000 (identification information is "6"), businesses with a water supply population of 10,000 or more and less than 15,000 (identification information is "" 7 ”), there are businesses with a water supply population of 5,000 or more and less than 10,000 (identification information is“ 8 ”), and businesses with a water supply population of less than 5,000 (identification information is“ 9 ”).
[0045]
　The category input field 2123 for each revenue water density is an input field for accepting input for the category according to the density of revenue water. It may be a pull-down format in which the classification according to the amount of revenue water density can be selected. The revenue water density is the annual revenue water per 1 [ha] of water supply area. The classification by revenue water density is a classification based on the revenue water density. For example, there are businesses above the national average (identification information is the identification information for each water source category (uppercase)) and businesses below the national average (identification information is the identification information for each water source category (changed to lowercase)).
[0046]
　For example, for a certain city, ward, town, or village, the water source classification is a business whose main water source is a dam (identification information is "A"), and the water supply population size classification is a business with a water supply population of 50,000 or more and less than 100,000 (). The identification information is "4"), and if the classification by revenue water density is less than the national average, the classification of the city, ward, town, or village will be "a4".
[0047]
　The check box 2124 is a box for selecting whether or not to exclude the specific business entity. A specific business entity is a business entity that may be excluded and is set in advance. The reason for exemption is that the business scale and population size are too large compared to other business entities. For example, Tokyo falls under a specific business entity. When the check box 2124 is checked, the business index item 202 of the specific entity is excluded.
[0048]
　The execution button 2103 is a button for the evaluation device 100 to start processing by using the information input to the input screen 2100 when pressed.
[0049]
　22 to 26 are explanatory views showing examples 1 to 5 of output screens of secular variation. The output screens 2200, 2300, 2400, 2500, and 2600 are output screens when the single business entity radio button 2101 and the secular change radio button 2114 are selected. It is a graph which shows the secular change of the business index about the average value of. The average value is an example, and any statistical value other than the average value, such as the median value, the maximum value, and the minimum value, may be used as long as it is a value representing the value of the business index 1202 of one or more business entities in the same category. ..
[0050]
　The business entity in the same category is a business entity that is classified in the same scale as the designated business entity. Specifically, the same scale classification is a classification classified by the area under the jurisdiction of the business entity such as population and population density, the above-mentioned water supply population, land area, and the size of the population and population density in the area. be. Which category is applied is set in advance, and the setting can be changed from the setting screen (not shown).
[0051]
　The horizontal axis of the output screens 2200, 2300, 2400, 2500, and 2600 is the year of the past five years, and the vertical axis is the business index 1202, respectively. The business index 1202 of the output screen 2200 is the maximum mold odor substance concentration water quality standard ratio. The business index 1202 of the output screen 2300 is the total trihalomethane concentration water quality reference ratio. The business index 1202 of the output screen 2400 is the organic matter (TOC) concentration water quality reference ratio. The business index 1202 of the output screen 2500 is a heavy metal concentration water quality reference ratio. The business index 1202 of the output screen 2600 is the inorganic substance concentration water quality reference ratio.
[0052]
　27 to 32 are explanatory views showing output screen examples 1 to 6 of a single business entity. The output screens 2700, 2800, 2900, 3000, 3100, and 3200 are output screens when the single business entity radio button 2101 and the same category business entity radio button 2115 are selected. It is a graph which shows the business index 1202 about the same category business entity.
[0053]
　The horizontal axis of the output screens 2700, 2800, 2900, 3000, 3100, and 3200 is the population of the business entity, and the vertical axis is the business index 1202, respectively. The business index 1202 of the output screen 2700 is the water supply pipe penetration rate. The business index 1202 of the output screen 2800 is the water supply population scale. The business index 1202 of the output screen 2900 is the operating balance ratio. The business index 1202 of the output screen 3000 is a yield. The business index 1202 of the output screen 3100 is the water leakage rate. The business index 1202 of the output screen 3200 is the facility utilization rate.
[0054]
　FIG. 33 is an explanatory diagram showing an example of an output screen of the division. The output screen 3300 is an output screen when the division radio button 2102 is selected, and is, for example, a graph showing a business index 1202 in a certain division in a certain comparison base year. The output screen 3300 is an output screen when "city and designated city" is input in the water supply population size classification input field 2122.
[0055]
　The output screen 3300 includes an X-axis pull-down 3301, a Y-axis pull-down 3302, an execute button 3303, and a graph 3304. The X-axis pull-down 3301 and the Y-axis pull-down 3302 are pull-downs from which the business index 1202 can be selected, respectively. The execution button 3303 is a button for generating the graph 3304 by the combination of the business index 1202 selected by the X-axis pull-down 3301 and the Y-axis pull-down 3302 by pressing the button. Graph 3304 was selected by the X-axis pull-down 3301 and the Y-axis pull-down 3302 for the classification categories specified in the water source classification input field 2121, the water supply population size classification input field 2122, and the revenue water density classification input field 2123. It is a graph in which the value of the business index 1202 is plotted.
[0056]
　
　Next, an example of the evaluation processing procedure by the evaluation apparatus 100 will be described with reference to FIGS. 34 to 37.
[0057]
　FIG. 34 is a flowchart 1 showing an example of an evaluation processing procedure by the evaluation device 100. The evaluation device 100 waits for the input information to be acquired (step S3401: No). The input information is information that is input to the input screen 2100 and acquired by pressing the execute button 2103. When the input information is acquired (step S3401: Yes), the evaluation device 100 determines whether the evaluation viewpoint of the business entity requested by the input information is the evaluation viewpoint by a single business entity or the evaluation viewpoint by classification. (Step S3402). Specifically, for example, the evaluation device 100 determines whether the input information includes the selection by the single entity radio button 2101 or the selection by the division radio button 2102.
[0058]
　In the case of an evaluation viewpoint by a single business entity (step S3402: a single business entity), the evaluation device 100 determines whether the evaluation viewpoint is based on aging or the evaluation viewpoint by the local government in the same category (step S3403). Specifically, for example, the evaluation device 100 determines whether the input information is selected by the aging radio button 2114 or by the category business entity radio button 2115.
[0059]
　In the case of the evaluation viewpoint based on the secular variation (step S3403: secular variation), the process proceeds to step S3501 in FIG. On the other hand, in the case of the evaluation viewpoint by the same division local government (step S3403: the same division local government), the process proceeds to step S3601 in FIG. Further, when the evaluation viewpoint is based on the classification in step S3402 (step S3402: classification), the process proceeds to step S3701 in FIG. 37.
[0060]
　FIG. 35 is a flowchart 2 showing an example of an evaluation processing procedure by the evaluation device 100. When the evaluation device 100 is an evaluation viewpoint based on aging (step S3403: aging), the evaluation device 100 identifies the designated business entity and the business entity in the same category as the designated business entity (step S3501). Specifically, for example, the evaluation device 100 sets the business entity (business entity in the same scale category) classified into the same scale category as the designated business entity to the value of the business index item 202 of the DB group 120 (for example, the current water supply population, etc.). ).
[0061]
　For example, when the current water supply population is classified into a plurality of scale categories according to the large number of the population, an entity belonging to the same scale category as the scale category to which the designated entity belongs is specified as the same category entity. As a result, it is possible to exclude businesses that are not in the same scale as the designated business, and it is possible to reduce the calculation load.
[0062]
　Further, when the business entity in the same category is a wide-area business entity, the evaluation device 100 may specify a plurality of related local governments corresponding to the business entity in the same category with reference to the related information DB 129. Since the DB group 120 has the value of the evaluation index item for each local government, the value of the evaluation index item 202 can be used by specifying the related local government.
[0063]
　Similarly, even when the designated business entity is a wide area business entity, the evaluation device 100 may specify a plurality of related local governments corresponding to the designated business entity by referring to the related information DB 129. Since the DB group 120 has the value of the evaluation index item for each local government, the value of the evaluation index item 202 can be used by specifying the related local government.
[0064]
　Next, the evaluation device 100 extracts the data sets of the designated business entity and the divisional business entity necessary for calculating the value of each business index 1202 (step S3502). Specifically, for example, the evaluation device 100 is for the past 5 years specified by the secular change from the comparison base year for each of the designated business entity and the same category business entity from the DB group 120 (excluding the related information DB 129). The value of the business index item 202 of is extracted and acquired as a data set of the designated business entity and a data set of the same category business entity.
[0065]
　When the designated business entity or the same category business entity is a wide area business entity, the evaluation device 100 sums the values ​​of the same business index item 202 of the corresponding plurality of related local governments for each of the wide area business entities, and wide area. Get a dataset as an entity.
[0066]
　Next, the evaluation device 100 calculates the value of each business index 1202 for each year of secular variation for the designated business entity (step S3503). Specifically, for example, the evaluation device 100 uses the data set acquired in step S3502 to calculate the value of the business index 1202 according to the calculation formula 1203 for each year of secular variation.
[0067]
　Further, the evaluation device 100 calculates the average value of the business units in the same category for the value of each business index 1202 for each year for the past five years defined by the secular variation from the comparative reference year (step S3504). In this case as well, the evaluation device 100 calculates the value of the business index 1202 for each municipality in the same category according to the calculation formula 1203 using the data set acquired in step S3502, and calculates the average value of the municipalities in the same category for each fiscal year. do.
[0068]
　Then, the evaluation device 100 selects the secular variation of the business index 1202 into an output target or a non-output target based on a predetermined evaluation standard (step S3505). Specifically, for example, in steps S3503 and S3504, since the values ​​of the business index 1202 are calculated for each business index 1202, the amount will be enormous if all of them are to be output. Therefore, the evaluation device 100 selects the secular variation of the business index 1202 to be output according to a predetermined evaluation standard.
[0069]
　For example, as shown in FIGS. 22 to 24 and 26, the difference between the value of the business index 1202 of the designated business entity and the average value of the business index 1202 of the local government in the same category becomes smaller as the year goes by. In this case, the evaluation device 100 selects the secular variation of the business index 1202 as an output target. As a result, the user can grasp that the value of the business index 1202 of the designated business entity and the value of the business index 1202 of the same category business entity tend to approach each other as the year goes by.
[0070]
　Specifically, for example, as the year goes by, the value of the business index 1202 of the designated business entity, which is larger than the average value of the business index 1202 of the same category local government, and the average value of the business index 1202 of the same category local government. When the difference tends to be small, the evaluation device 100 may select the secular variation of the business index 1202 as an output target. As a result, the user can grasp that the average of the business entities in the same category in the business index 1202 tends to catch up with the designated business entity due to secular variation.
[0071]
　Specifically, for example, as the year goes by, the value of the business index 1202 of the designated business entity, which is smaller than the average value of the business index 1202 of the same category local government, and the average value of the business index 1202 of the same category local government. When the difference between the two and the above tends to be small, the evaluation device 100 may select the secular variation of the business index 1202 as an output target. As a result, the user can grasp that the designated business entity in the business index 1202 tends to catch up with the average of the same category business entity due to aging.
[0072]
　On the contrary, when the difference between the value of the business index 1202 of the designated business entity and the average value of the business index 1202 of the local government in the same category tends to increase as the year goes by, the evaluation device 100 is used. , The secular variation of the business index 1202 may be selected as an output target. As a result, the user can grasp that the difference in the business index 1202 between the designated business entity and the business entity in the same category tends to increase as the year goes by.
[0073]
　Specifically, for example, as the year goes by, the value of the business index 1202 of the designated business entity, which is larger than the average value of the business index 1202 of the same category local government, and the average value of the business index 1202 of the same category local government. When the difference tends to be large, the evaluation device 100 may select the secular variation of the business index 1202 as an output target. As a result, the user can grasp that the average of the business entities in the same category in the business index 1202 tends to be separated from the designated business entity due to secular variation.
[0074]
　Specifically, for example, as the year goes by, the value of the business index 1202 of the designated business entity, which is smaller than the average value of the business index 1202 of the same category local government, and the average value of the business index 1202 of the same category local government. When the difference between the above and the above tends to be large, the evaluation device 100 may select the secular variation of the business index 1202 as an output target. As a result, the user can grasp that the designated business entity in the business index 1202 tends to be separated from the average of the same category business entity due to aging.
[0075]
　Further, as shown in FIG. 25, during the secular variation of the business index 1202, the magnitude relationship between the value of the business index 1202 of the designated business entity and the average value of the business index 1202 of the same division municipality was changed. If there is a tendency, the evaluation device 100 may select the secular variation of the business index 1202 as an output target. As a result, the user can grasp that the value of the business index 1202 of the designated business entity and the average value of the business index 1202 of the local government in the same category are reversed during the secular variation of the business index 1202.
[0076]
　Specifically, for example, the value of the business index 1202 of the designated business entity, which was larger than the average value of the business index 1202 of the local government in the same category, became the business index 1202 of the local government in the same category during the secular variation of the business index 1202. When it becomes smaller than the average value, the evaluation device 100 selects the secular variation of the business index 1202 as an output target. As a result, the user can grasp that the value of the business index 1202 of the designated business entity has been overtaken by the average value of the business index 1202 of the local government in the same category during the secular variation of the business index 1202.
[0077]
　Specifically, for example, the value of the business index 1202 of the designated business entity, which was smaller than the average value of the business index 1202 of the local government in the same category, became the business index 1202 of the local government in the same category during the secular variation of the business index 1202. When it becomes larger than the average value, the evaluation device 100 selects the secular variation of the business index 1202 as an output target. As a result, the user can grasp that the value of the business index 1202 of the designated business entity has overtaken the average value of the business index 1202 of the local government in the same category during the secular variation of the business index 1202.
[0078]
　After that, the evaluation device 100 outputs the selection result (the secular variation of the business index 1202 selected as the output target) in step S3505 (step S3506). The evaluation device 100 may display the selection result on the display which is the output device 104, print it out to a printer, or transmit it to another computer accessible via the communication IF 105.
[0079]
　FIG. 36 is a flowchart 3 showing an example of an evaluation processing procedure by the evaluation device 100. When the evaluation device 100 is an evaluation viewpoint by the same category business entity (step S3403: the same category business entity), the evaluation device 100 identifies the designated business entity and the designated business entity and the business entity of the same category (step S3601). Since step S3601 is the same process as step S3501, detailed description thereof will be omitted.
[0080] [0080]
　Next, the evaluation device 100 extracts the data sets of the designated business entity and the same category business entity necessary for calculating the value of each business index 1202 (step S3602). Specifically, for example, the evaluation device 100 extracts the value of the business index item 202 of the comparison base year from the DB group 120 (excluding the related information DB 129) for each of the designated business entity and the same category business entity. Acquired as a data set of a designated business entity and a data set of a business entity of the same category.
[0081]
　When the designated business entity or the same category business entity is a wide area business entity, the evaluation device 100 sums the values ​​of the same business index item 202 of the corresponding plurality of related local governments for each of the wide area business entities, and wide area. Get a dataset as an entity.
[0082]
　Next, the evaluation device 100 calculates the value of each business index 1202 in the comparison base year for the designated business entity (step S3603). Specifically, for example, the evaluation device 100 calculates the value of the business index 1202 according to the calculation formula 1203 using the data set acquired in step S3602.
[0083]
　Further, the evaluation device 100 calculates the average value of the business units in the same category for the value of each business index 1202 in the comparison base year (step S3604). In this case as well, the evaluation device 100 uses the data set acquired in step S3602 to calculate the value of the business index 1202 for each municipality in the same category according to the calculation formula 1203, and calculates the average value of the municipalities in the same category.
[0084]
　Then, the evaluation device 100 selects the business index 1202 as an output target or a non-output target based on a predetermined evaluation standard (step S3605). Specifically, for example, in steps S3603 and S3604, the values ​​of the business index 1202 are calculated for each business index 1202, so if all of them are to be output, the amount will be enormous. Therefore, the evaluation device 100 selects the business index 1202 to be output according to a predetermined evaluation standard.
[0085]
　For example, the evaluation device 100 selects the business index 1202 as an output target when the difference between the value of the local government in the designated category and the average value of the local government in the same category is the threshold value t1 or more for the same business index 1202. .. In this case, as shown in FIG. 27, if the value of the municipality in the designated category is larger than the average value of the municipality in the same category, the user is separated from the municipality in the designated category in the business index 1202. You can figure out that. On the other hand, as shown in FIG. 29, if the value of the municipality in the designated category is smaller than the average value of the municipality in the same category, the user is separated from the municipality in the designated category in the business index 1202. You can figure out that.
[0086]
　Further, as shown in FIG. 28, the evaluation device 100 outputs the business index 1202 when the value of the local government in the designated category and the value of the local government in the same category are higher than a predetermined rank for the same business index 1202. Sort to. In this case, the user can grasp that the local governments in the designated category are ranked relatively high in the local governments in the same category.
[0087]
　Further, as shown in FIG. 30, the evaluation device 100 outputs the business index 1202 when the value of the local government in the designated category and the value of the local government in the same category are lower than the predetermined rank for the same business index 1202. Sort to. In this case, the user can grasp that the local governments in the designated category are ranked relatively low in the local governments in the same category.
[0088]
　Further, when the check box 2124 is not entered, if the designated category is the capital and the designated municipality, a specific business entity such as Tokyo is also included in the category municipality. In this case, as shown in FIGS. 29, 31 and 32, if the difference between the value of the business index 1202 of the designated category and the value of the business index 1202 of the specific business entity is within the threshold value t2. , The evaluation device 100 may select the business index 1202 as an output target. As a result, the user can grasp that the business index 1202 of the business entity of the designated category is equivalent to that of the specific business entity.
[0089]
　After that, the evaluation device 100 outputs the selection result (business index 1202 selected as the output target) in step S3605 (step S3606). The evaluation device 100 may display the selection result on the display which is the output device 104, print it out to a printer, or transmit it to another computer accessible via the communication IF 105.
[0090]
　FIG. 37 is a flowchart 4 showing an example of an evaluation processing procedure by the evaluation device 100. When the evaluation device 100 is an evaluation viewpoint based on classification (step S3402: classification), first, the output screen 3300 is output (step S3701). The output destination of the output screen 3300 may be, for example, a display which is an output device 104, or another computer accessible via the communication IF 105. On the output screen 3300 at this time, the business index 1202 is not selected in the X-axis pull-down 3301 and the Y-axis pull-down 3302, and the graph 3304 is also blank.
[0091]
　Next, the evaluation device 100 waits for the execution button 3303 of the output screen 3300 to be pressed (step S3702). When the execute button 3303 is pressed (step S3702: Yes), the evaluation device 100 determines whether or not the X-axis and Y-axis business indexes 1202 are selected by the X-axis pull-down 3301 and the Y-axis pull-down 3302 (step). S3703). If the X-axis and Y-axis business indicators 1202 are not selected (step S3703: No), the process returns to step S3702. In this way, the user can freely select the business index 1202 on the X-axis and the Y-axis.
[0092]
　When the X-axis and Y-axis business indicators 1202 are selected (step S3703: Yes), the evaluation device 100 identifies the business entity of the designated category (step S3704). The designated classification is a business scale classification designated by the water source classification input field 2121, the water supply population scale classification input field 2122, and the revenue water density classification input field 2123. The evaluation device 100 identifies an entity classified into the designated category (designated category entity) from the value of the business index item 202 of the DB group 120 (for example, the current water supply population). As a result, it is possible to exclude business entities other than the designated categories, and it is possible to reduce the calculation load.
[0093]
　Further, when the designated classification business entity is a wide area business entity, the evaluation device 100 may specify a plurality of related local governments corresponding to the designated classification business entity by referring to the related information DB 129. Since the DB group 120 has the value of the evaluation index item for each local government, the value of the evaluation index item 202 can be used by specifying the related local government.
[0094]
　Next, the evaluation device 100 acquires the data set of the designated category business entity necessary for calculating the value of each business index 1202 (step S3705). Specifically, for example, the evaluation device 100 is a business index of the comparison base year of the X-axis and the Y-axis selected in step S3703 for each of the designated category enterprises from the DB group 120 (excluding the related information DB 129). The value of the business index item 202 required for the calculation of the value of 1202 is extracted and acquired as a data set for each designated category business entity. The value of the business index item 202 required for calculating the value of the business index 1202 is, for example, the value of the business index item 202 included in the calculation formula 1203 corresponding to the business index 1202 in Tables 1 to 9.
[0095]
　When the designated category business entity is a wide area business entity, the evaluation device 100 sums the values ​​of the same business index item 202 of the corresponding plurality of related local governments for each of the wide area business entities, and serves as the wide area business entity. Get the dataset.
[0096]
　Next, the evaluation device 100 calculates the value of each business index 1202 in the comparison base year for each of the designated category business entities (step S3706). Specifically, for example, the evaluation device 100 calculates the value of the business index 1202 for each of the designated category business entities using the data set acquired in step S3702 according to the calculation formula 1203.
[0097]
　Further, the evaluation device 100 calculates the average value of the designated category business entity for the value of each business index 1202 in the comparison base year (step S3707). In this case as well, the evaluation device 100 calculates the value of the business index 1202 for each designated category municipality according to the calculation formula 1203 using the data set acquired in step S3702, and calculates the average value of the designated category municipalities.
[0098]
　Then, the evaluation device 100 plots the values ​​calculated in steps S3706 and S3707 on the graph 3304 (step S3708) and outputs the screen output (step S3701). As a result, the output screen 3300 as shown in FIG. 33 is output.
[0099]
　As described above, according to the evaluation device 100 of the present embodiment, different classifications are made by specifying the same classification business entities that are classified into the same scale classification as the designated business entity based on the value of the business index item 202 regarding the population. Businesses of a size can be excluded. Therefore, the evaluation device 100 does not need to extract the value of the business index item 202 of the business entity of different division scale and calculate the value of the business index 1202, can reduce the calculation load, and can reduce the calculation load, and can output the output result. It is possible to narrow down. Further, by selecting the output target according to a predetermined evaluation standard, it is possible to narrow down the output result. In this way, the evaluation device 100 can comprehensively grasp useful business indicators and suppress oversight of information.
[0100]
　Further, since the evaluation device 100 narrows down to the two business indexes 1202 by allowing the user to select the two business indexes 1202, the business index item 202 corresponding to the other business indexes 1202 other than the two business indexes 1202. It is not necessary to extract the value and calculate the value of the business index 1202, the calculation load can be reduced, and the output result can be narrowed down. Further, since the user selects the two business indexes 1202, the convenience can be improved.
[0101]
　Further, when the designated business entity, the same category business entity, or the designated category business entity corresponds to a wide area business entity, the evaluation device 100 extracts the value of the business index item 202 of the corresponding related business entity and performs the same business index. The values ​​of the items 202 are summed and applied to the calculation of the business index 1202. Therefore, it is possible to cover the evaluation of wide-area enterprises.
[0102]
　It should be noted that the present invention is not limited to the above-mentioned examples, but includes various modifications and equivalent configurations within the scope of the attached claims. For example, the above-described examples have been described in detail in order to explain the present invention in an easy-to-understand manner, and the present invention is not necessarily limited to those having all the described configurations. Further, a part of the configuration of one embodiment may be replaced with the configuration of another embodiment. Further, the configuration of another embodiment may be added to the configuration of one embodiment. In addition, other configurations may be added, deleted, or replaced with respect to a part of the configurations of each embodiment.
[0103]
　Further, each configuration, function, processing unit, processing means, etc. described above may be realized by hardware by designing a part or all of them by, for example, an integrated circuit, and the processor realizes each function. It may be realized by software by interpreting and executing the program to be executed.
[0104]
　Information such as programs, tables, and files that realize each function is recorded in a storage device such as a memory, a hard disk, an SSD (Solid State Drive), or an IC (Integrated Circuit) card, an SD card, or a DVD (Digital Versail Disc). It can be stored in a medium.
[0105]
　In addition, the control lines and information lines show what is considered necessary for explanation, and do not necessarily show all the control lines and information lines necessary for mounting. In practice, it can be considered that almost all configurations are interconnected.
The scope of the claims
[Claim 1]
　An evaluation device having a processor that executes a program and a storage device that stores the program, and
　is accessible to a database that stores the values ​​of a plurality of business index items including business index items related to population for each business entity. Yes, the
　processor 　identifies the business entity that is classified into the same scale category as the designated business entity based on
　the acquisition process for acquiring the evaluation viewpoint of the business entity and the value of the business index item related to the population. Based on the
processing and
　the evaluation viewpoint acquired by the acquisition processing, the values ​​of the plurality of business index items are extracted from the database for each of the designated business entity and the same category business entity specified by the specific processing. The extraction process,
　the calculation process for calculating the values ​​of a plurality of business indicators using the values ​​of the plurality of business index items extracted by the extraction process, the
　designated business entity calculated by the calculation process, and the said. A sorting process for selecting a combination of values ​​of the same business index for each of the same category business entities into an output target or a non-output target based on a predetermined evaluation standard, and a selection process of
　the values ​​selected for the output target by the sorting process. An evaluation device characterized by performing output processing that outputs a combination and
　executing.
[Claim 2]
　The evaluation device according to claim 1,
　wherein the evaluation viewpoint is an evaluation viewpoint for comparing secular changes of the same business index for each of the designated business entity and the same category business entity
　. Evaluation device.
[Claim 3]
　The evaluation device according to claim 1,
　wherein the evaluation viewpoint is an evaluation viewpoint for comparing the same business index for a single year for each of the designated business entity and the same category business entity
　. Evaluation device.
[Claim 4]
　The evaluation device according to claim 1, in which, in the
　sorting process, the processor uses the difference in values ​​between the designated business entity and the same category business entity for each of the plurality of business indexes.
　An evaluation device comprising selecting a combination of values ​​into the output target or the non-output target .
[Claim 5]
　The evaluation device according to claim 1, in the
　sorting process, the processor is based on the difference between the value of the designated business entity and the representative value of the same category business entity for each of the plurality of business indexes. Then, the combination of the value of the designated business entity and the representative value of the same category business entity is selected as the output target or the non-output target, and in the
　output process, the processor is selected as the output target by the selection process.
　An evaluation device characterized by outputting a combination of a selected value of the designated business entity and a representative value of the same category business entity .
[Claim 6]
　The evaluation device according to claim 1,
　which can access a related information database in which a wide area business entity and a plurality of related business entities are associated with each other, and in the
　extraction process, the processor is the designated business entity. Is the wide area business entity, the value of each business index item of the plurality of related business entities corresponding to the wide area business entity is extracted as the value of the business index item for the designated business entity, and the
　calculation process is performed. Then, the processor is
　an evaluation device characterized in that it is used as the value of the same business index item for the designated business entity by summing the values ​​of the same business index items of each of the plurality of related business entities. ..
[Claim 7]
　The evaluation device according to claim 1,
　which can access a related information database in which a wide area business entity and a plurality of related business entities are associated with each other. In the
　extraction process, the processor is the same category business. When the entity is the wide area enterprise, the value of each business index item of the plurality of related enterprises corresponding to the wide area enterprise is extracted as the value of the business index item for the same category enterprise, and the
　said . In the calculation process, the processor is
　characterized in that it is used as the value of the same business index item for the same category business entity by summing the values ​​of the same business index items of each of the plurality of related business entities. Evaluation device.
[Claim 8]
　An evaluation device having a processor that executes a program and a storage device that stores the program, and is accessible to a database that stores the values ​​of a 　plurality
　of business index items for each business entity 　. It was specified by the specific process that specifies the designated category business entity that was classified and designated based on the evaluation viewpoint based on the business scale of the business entity, 　the selection process that accepts the selection of the first business index and the second business index, and the 　specific process. For each of the designated category business entities, an extraction process for extracting the values ​​of the business index items necessary for calculating the values ​​of the first business index and the second business index selected by the selection process from the database, and the extraction process 　. A calculation process for calculating the value of the first business index and the value of the second business index for each designated category business entity using the values ​​of the business index items extracted by the processing, and a 　calculation result by the calculation process. An evaluation device characterized by performing output processing and 　executing.

[Claim 9]
　The evaluation device according to claim 8, 　wherein
　the processor executes a generation process for generating graphs having the first business index and the second business index as axes, respectively, based on the calculation result.
In the output process, the processor outputs a graph generated by the generation process
　.
[Claim 10]
　The evaluation device according to claim 8,
　which is accessible to a related information database in which a wide area business entity and a plurality of related business entities are associated with each other, and in the
　extraction process, the processor is the designated classification business. When the body is the wide area business entity, the value of each business index item of the plurality of related business entities corresponding to the wide area business entity is extracted as the value of the business index item for the designated category business entity, and the
　above is described. In the calculation process, the processor is
　characterized in that it is used as the value of the same business index item for the designated category business entity by summing the values ​​of the same business index items of each of the plurality of related business entities. Evaluation device.
[Claim 11]
　An evaluation method executed by an evaluation device having a processor that executes a program and a storage device that stores the program,
　wherein the evaluation device operates values ​​of a plurality of business index items including business index items related to population. The database that is stored for each body can be accessed, and the
　evaluation method is based on the acquisition process in which the
　processor
　acquires the evaluation viewpoint of the
　business entity and the value of the business index item related to the population, and the designated business entity. Each of the designated business entity and the same category business entity specified by the specific process based on the specific process for specifying the same category business entity classified into the same scale category and
　the evaluation viewpoint acquired by the acquisition process. The extraction process for extracting the values ​​of the plurality of business index items from the database and
　the calculation process for calculating the values ​​of the plurality of business indicators using the values ​​of the plurality of business index items extracted by the extraction process. And,
　the selection process of selecting the combination of the values ​​of the same business index for each of the designated business entity and the same category business entity calculated by the calculation process into output targets or non-output targets based on a predetermined evaluation standard. 　An evaluation method comprising , and
　an output process of outputting a combination of values ​​selected for the output target by the selection process.
[Claim 12]
　It is an evaluation method executed by an evaluation device having a processor that executes a program and a storage device that stores the program, and
　can access a database that stores the values ​​of a plurality of business index items for each business entity. The
　evaluation method is a selection in which the
　processor accepts
　a specific process for specifying a designated classified business entity designated based on an evaluation viewpoint based on the business scale of the business entity, and
　selection of a first business index and a second business index. For each of the processing and
　the designated category business entity specified by the specific processing, the value of the business index item necessary for calculating the respective values ​​of the first business index and the second business index selected by the selection processing is described above. Using the extraction process extracted from the database and
　the value of the business index item extracted by the extraction process, the value of the first business index and the value of the second business index are calculated for each designated category business entity. 　An evaluation method characterized by executing a calculation process and
　an output process for outputting a calculation result by the calculation process.
[Claim 13]

　Acquisition processing to acquire the evaluation viewpoint of the business entity in 　a processor that can access the database that stores the values ​​of multiple business index items including the business index item related to the population for each business entity, and
　the value of the business index item related to the population. Based on the specific processing that identifies the business entity in the same scale category as the designated business entity, and the designated business entity specified by the specific processing
　based on the evaluation viewpoint acquired by the acquisition processing. And for each of the same category business entities, a plurality of businesses using the extraction process for extracting the values ​​of the plurality of business index items from the database and the values ​​of the plurality of business index items extracted by the extraction process
　. A combination of the calculation process for calculating the index value and the
　value of the same business index for each of the designated business entity and the same category business entity calculated by the calculation process is output as an output target or based on a predetermined evaluation standard. 　An evaluation program for executing a sorting process for selecting a non-output target and
　an output process for outputting a combination of values ​​selected by the output target by the sorting process .
[Claim 14]
　A processor that can access a database that stores the values ​​of multiple business index items for each business entity,
　and a specific process that identifies the designated classified business entity that has been classified and designated based on the evaluation viewpoint based on the business scale of the business entity
　. For each of the selection process that accepts the selection of the 1 business index and the 2nd business index and the
　designated category business entity specified by the specific process, each of the 1st business index and the 2nd business index selected by the selection process. Using the extraction process for extracting the value of the business index item necessary for calculating the value from the database and the value of the business index item extracted by the extraction process,
　the value of the first business index and the second business. 　An evaluation program for executing a calculation process for calculating the index value for each designated category business entity and
　an output process for outputting the calculation result by the calculation process .