JP4623605B2 - Benchmark evaluation system and program - Google Patents

Description

  The present invention relates to a system and a program for comparing and evaluating an evaluation object person with respect to a comparison object person serving as a benchmark.

  Conventionally, benchmark analysis using financial indicators and productivity indicators as benchmarks has been performed in order for companies to judge whether their performance is good or bad. When performing such a benchmark analysis, it is usually difficult to obtain performance data of other companies, so the past performance data of the company was used as a benchmark.

  For example, Patent Document 1 discloses an operation result analysis device that analyzes operation chart data in an in-house manufacturing process and operation result index data indicating the quality of the operation result, and analyzes the relationship between the operation and the operation result. ing. In this operation result analysis apparatus, the relationship between the operation and quality is analyzed by quantitatively analyzing the relationship between the feature quantity of the chart waveform of the operation chart data and the feature quantity of the operation result index data.

JP 2004-288144 A

  However, in the apparatus as described in Patent Document 1, since the operation result index data indicating the quality of the operation results of the company (that is, the past performance data of the company) was used as a benchmark, the superiority over the competitors was evaluated. I couldn't. In other words, since the purpose of the company is to ensure superiority over competitors, it is preferable to use competitors' past performance data as a benchmark rather than their own past performance data. In fact, in recent years, an ASP (Application Service Provider) service that provides various programs to a plurality of companies through the network 3 has become widespread, and information from a plurality of companies can be obtained through a provider that provides such services. It is relatively easy to obtain. In addition, each company's disclosure of performance data and competing with each other has the advantage of improving the level of the industry as a whole, so there is a motivation for each company to disclose its own performance data. To do. For this reason, it is realistic for companies to use past performance data of competitors as a benchmark.

  However, even if the past performance data of competitors becomes available, no specific method has been proposed for effectively using a huge amount of performance data for their own improvements. There has been a demand for a system and method for effectively and efficiently analyzing performance data according to the needs of each company.

  The present invention has been made in view of the above, and an object of the present invention is to provide a benchmark evaluation system and program capable of effectively and efficiently analyzing performance data of competitors according to the needs of each company. To do.

In order to solve the above-described problems and achieve the object, the benchmark evaluation system according to claim 1 includes an evaluation target person to be evaluated and a comparison target person to be compared with the evaluation target person. , Attribute information storage means for storing each attribute information, and numerical information regarding the evaluation target person and the comparison target person, and analysis target information storage for storing analysis target information corresponding to each of a plurality of predetermined indexes Purpose-specific attribute information configured by associating a means, a plurality of evaluation purposes, and information specifying a combination of types and ranges of the attribute information corresponding to each of the plurality of evaluation purposes. one with purpose-specific attribute information storage means for storing the information identifying the specified range and the upper limit value of the deviation value used for evaluation, and the evaluation criterion information storage means for storing for each of the indicators, from the object of the plurality of evaluation Or, when a plurality of evaluation objectives are specified by a predetermined method, they match a combination of types and ranges of attribute information stored in the purpose-specific attribute information storage means corresponding to the specified evaluation objectives. the comparison subject with the attribute information specified by referencing the attribute information storage unit, acquires analyzed information to be compared who said identified from the analysis target information storage means, comparison target extraction means, said comparison Analysis means for calculating a deviation value of the analysis target information of the evaluation subject with respect to the analysis target information of the comparison target for each index corresponding to the comparison target information of the comparison target acquired by the target extraction means; , ginseng each deviation values calculated by the analysis means, whether the prescribed range or more, whether the upper limit value or more, and whether within the prescribed range, the evaluation criteria information storing means And determining the evaluation of the evaluation target person for each index according to the determination result, and corresponding to the deviation value less than the lower limit value of the specified range among the deviation values calculated by the analysis means The evaluation means for setting the improvement priority so that the priority of the index becomes higher in the order of the deviation value, the deviation value for each index calculated by the analysis means, and the evaluation means and output means for the evaluation and generates a subject's commentary Ataiyui fruit and improve priority and evaluation reports were correlated to one another of the index set by the evaluation means output for each of the indicators by .

The benchmark evaluation system according to claim 2 is the benchmark evaluation system according to claim 1, wherein each of the plurality of indicators and a comparison subject having the highest rank in each of the indicators among the comparison subjects. And comparison target person identification information for uniquely identifying the rank information storage means for storing them in association with each other, wherein the output means is based on the improvement priority of the indicator determined by the evaluation means The index with the highest improvement priority is identified, the comparison target with the highest rank in the identified index is identified with reference to the rank information storage means, and the analysis target information of the identified comparison target is analyzed Obtained from the target information storage means, the obtained analysis target information is included in the evaluation report and output.

The benchmark evaluation system according to claim 3 is the benchmark evaluation system according to claim 1 or 2, wherein the benchmark evaluation system is numerical information for specifying a financial state of the comparison target person for each predetermined period , and at least each of the comparisons Reference information storage means for storing reference information including information for specifying operating profit for each predetermined period of the target person is provided, and the output means is configured to compare each of the comparisons based on the reference information stored in the reference information storage means. Acquire the operating profit of the Target Company for each specified period, calculate the amount of increase in the acquired operating profit over the last certain period, select the comparison target person with the largest amount of increase calculated, and select the selected comparison target person The analysis target information is acquired from the analysis target information storage unit, and the acquired analysis target information is included in the evaluation report and output.

The benchmark evaluation system according to claim 4 is the benchmark evaluation system according to any one of claims 1 to 3, wherein the analysis target information stored in the analysis target information storage means is a predetermined value of the comparison target person. Including information for identifying sales for each period, a combination of the type and range of the attribute information of the comparison target person to be compared, and a sales increase rate of the comparison target person in a predetermined target period, comprising a type information memory means for storing the type information for identifying the comparison target extraction means has a coupling matches attribute information in combination of the type and range of the attribute information stored in the type information memory means the comparison subjects were specific by referring to the attribute information storage unit, the sales rate of increase in the target period for each comparison who has the specified, the analysis target information storing hand The target period is calculated based on the sales of each comparison target person stored in the predetermined period, and the calculated sales increase rate is specified by the type information stored in the type information storage means analyte information comparison subjects is sales increase rate than in the is obtained from the analysis target data storage unit.

The benchmark evaluation system according to claim 5 is the benchmark evaluation system according to any one of claims 1 to 4 , wherein the combination of the type and range of the attribute information of the comparison target person to be compared is selected. Type information storage means for storing each evaluation target, and when one evaluation target is designated by a predetermined method , the type and range combination of the attribute information corresponding to the designated evaluation target The combination that is identified by referring to the information storage means and that is stored in association with the largest number of evaluation subjects among the combinations of types and ranges of the attribute information stored in the type information storage means It is specified by referring to the type information storage means, and is included in the combination of the type and range of the attribute information corresponding to the designated evaluation subject. There is not a combination, most combinations evaluation stored in association with the subject, the type information to be newly stored in the type information storage means in association with the designated evaluated subjects the identified and a recommended means.

The benchmark evaluation program according to claim 6, an attribute information storage means for storing each attribute information of an evaluation target person to be evaluated and a comparison target person to be compared with the evaluation target person, Numerical information related to the evaluation target person and the comparison target person, and analysis target information storage means for storing analysis target information corresponding to each of a plurality of predetermined indexes, a plurality of evaluation purposes, and the plurality of evaluations The purpose-specific attribute information storage means for storing purpose-specific attribute information configured to correlate the information specifying the type and range combination of the attribute information corresponding to each of the purposes, and the deviation used for the evaluation information identifying the specified range and the upper limit value, the evaluation criterion information storage means for storing for each of the indicators, computers with, one or more evaluation from among the objects of the plurality of evaluation When the target is specified by a predetermined method, the combination of attribute information corresponding to the specified purpose of evaluation and a combination of ranges are specified with reference to the purpose-specific attribute information storage means, and the specified attribute information the comparison subjects having attribute information that matches the type and range combination of specified by referring to the attribute information storage unit, acquires analyzed information to be compared who said identified from the analysis target data storage unit The analysis target information of the evaluation subject with respect to the analysis target information of the comparison target for each index corresponding to the analysis target information of the comparison target acquired by the comparison target extraction means and the comparison target extraction means whether of the analysis means to calculate the deviation, the deviation values calculated by the analysis means, whether the prescribed range or more, whether the upper limit value or more, and either within the prescribed range Is determined with reference to the evaluation criterion information storage means, and the evaluation of the evaluation target person for each index is determined according to the determination result, and the regulation among the deviation values calculated by the analysis means For the index corresponding to the deviation value less than the lower limit value of the range, the evaluation means for setting the improvement priority so that the priority of the index becomes higher in the order of the deviation value, and the calculation means calculated by the analysis means and the deviation value for each index, and improve the priority of the index set by commentary Ataiyui fruit and the evaluation unit of the evaluation subject of each of the indicators by the evaluation unit, the evaluation report constructed in association with each other output means for generating and outputting, to function as a.

According to the present invention described in claim 1 or claim 6, an evaluation report including the BM value for each index related to the comparison target person, the evaluation result, and the improvement priority of the index is output. Even when the amount is enormous, benchmark evaluation that meets the needs of the evaluation target person can be easily performed, and information useful for business improvement and the like can be provided to the evaluation target person.
In particular, when one or more evaluation objectives are specified from among multiple evaluation objectives, benchmark evaluation is performed based on the combination of attribute information types and ranges corresponding to the specified evaluation objectives. Therefore, benchmark evaluation that matches the evaluation target of the evaluation target person can be performed, and even if the evaluation target person is not familiar with the benchmark, the benchmark evaluation can be performed easily and accurately.

  According to the second aspect of the present invention, since the evaluation report including the analysis target information of the comparison target with the best index is output for the index with the highest improvement priority, the index with the highest improvement priority. It is possible to present information that can be used as a reference for actually improving the index, and to support the improvement plan of the index of the evaluation target person.

  According to the third aspect of the present invention, since the evaluation report including the analysis target information of the comparison target person with the best financial status is output, the evaluation target person refers to the analysis target information to determine the financial status. Since it is possible to make improvements, etc., it becomes possible to support the improvement plan of the financial condition of the evaluation subject.

  According to the present invention described in claim 4, since only the analysis target information of the comparison target person having the growth ability equal to or higher than the predetermined growth ability is acquired, the benchmark evaluation based on the comparison target person having high growth potential is performed. Since the evaluation target person can make a plan for improving the growth potential with reference to the benchmark evaluation, the evaluation target person can be supported for the improvement plan of the growth potential.

  According to the present invention described in claim 5, since the combination stored in association with the largest number of evaluation subjects is stored in the type information storage means, not only the combination desired by the evaluation subject himself, Evaluation can be performed based on useful combinations that are frequently adopted by other evaluation target persons, and it becomes possible to perform business evaluation and the like from a point of view that the evaluation target person does not notice.

It is a conceptual diagram which shows the benchmark evaluation system which concerns on Embodiment 1 of this invention functionally conceptually. It is a figure which shows the structural example of the company information stored in company information DB. (A) is a structural example of the division | segmentation information stored in the division | segmentation table, (b) is a structural example of the company attribute information stored in the company attribute table. It is a structural example of the kind information stored in the BM kind table. It is an example of composition of evaluation standard information stored in an evaluation table. It is a flowchart of a benchmark process. It is a flowchart of BM kind recommendation processing. It is a flowchart of an extraction parameter setting process. It is a figure which illustrates the extraction parameter extracted by the extraction parameter setting process. It is a flowchart of a comparison object extraction process. It is a flowchart of an analysis process. It is a figure which shows the concept of calculation of the analysis value by an analysis process. It is a flowchart of an evaluation process. It is a flowchart of the evaluation process which concerns on a modification. It is a figure which illustrates an evaluation report. It is a figure which shows the structural example of the company information stored in company information DB which concerns on Embodiment 2. FIG. (A) is a structural example of company attribute information stored in the company attribute table, and (b) is a structural example of purpose-specific attribute information stored in the BM purpose table. It is a flowchart of an extraction parameter setting process. It is a figure which illustrates the extraction parameter extracted by the extraction parameter setting process. It is a flowchart of a comparison object extraction process. It is a figure which shows the example of the company information acquired corresponding to the objective of each evaluation. 10 is a configuration example of type information stored in a BM type table according to the third embodiment. It is a figure which illustrates the extraction parameter extracted by the extraction parameter setting process. It is a flowchart of a comparison object extraction process. It is an example of a structure of the order information stored in the company ranking table which concerns on Embodiment 3. FIG. It is a flowchart of an output process. It is a figure which illustrates an evaluation report. It is a flowchart of an output process.

  Embodiments of a benchmark evaluation system (hereinafter “the present system”) and a benchmark evaluation program (hereinafter “the present program”) according to the present invention will be described in detail below with reference to the accompanying drawings. First, the configuration and processing of each embodiment will be described, and finally, modifications to each embodiment will be described. However, the present invention is not limited to each embodiment.

[Embodiment 1]
First, the first embodiment will be described. In this form, the evaluation is performed based on the BM type of the person to be evaluated.

(Constitution)
First, the configuration of this system will be described. This system is a system that evaluates an evaluation target person to be evaluated using various data acquired from a comparison target person to be compared with the evaluation target person as an index.

  Here, as the “evaluator”, any organization or individual can be cited. For example, the management status can be evaluated with a company as an evaluation target, or the athletic ability can be evaluated with an athlete as an evaluation target. Hereinafter, an example in which a company (specifically, a manufacturer having a manufacturing factory) is an evaluation target will be described.

  As the “comparator”, any organization or individual can be cited as in the evaluation subject. Since the comparison target person is a comparison target of the evaluation target person, it can be selected according to the attribute based on the evaluation target person. For example, a peer for the evaluation target person or a different trader for the evaluation target person can be selected. Can be mentioned. In the following, comparison is made between companies that are the target of evaluation and companies that are the same or different companies (specifically, manufacturers who have manufacturing factories that manufacture products in the same field or different fields). The case where it is set as the target person will be described.

  Note that the evaluation target person and the comparison target person are not necessarily fixedly set. For example, among a plurality of companies A to Z, in some cases, the company A becomes an evaluation target and the other company B ~ Z becomes the person to be compared, and at other times, company B becomes the person to be evaluated and other companies A and C ~ Z become persons to be compared. Can be any of the target audience.

  The “index” is a standard for performing evaluation of the evaluation target person, and is a so-called “benchmark (hereinafter referred to as“ BM ”as necessary)”. As the BM, for example, various performance data (“factory gross margin”, “inventory rotation speed”, etc.) that can be acquired from the comparison subject can be used. The method for specifying the BM is arbitrary. For example, a method for specifying the type of person to be compared (such as “company”, “same industry”, “same industry same size”, “different industry”, etc.) There is a method of specifying the type of actual data provided by the target person (such as “factory gross margin”, “inventory turnover number” described above), or a method of specifying a combination of the type of the target of comparison and the type of actual data Conceivable. In the following example, an example of specifying the BM by specifying the type of the comparison target person will be described, and the type of the comparison target person is referred to as “BM type”. As this BM type, an example will be described in which, in addition to one or a plurality of BM types desired by the evaluation subject, a BM type automatically recommended on the system side is added.

(Configuration-this system)
FIG. 1 is a conceptual diagram showing the system 1 functionally. The system 1 is communicably connected via a network 3 to terminal devices 2 arranged in the company A to the company Z, and is functionally conceptualized as an input / output interface (hereinafter “input / output IF”) 10. The storage unit 20 and the control unit 30 are communicably connected via a bus. The system 1 can be configured using a known server system or database system unless otherwise specified.

  The input / output IF 10 is an input unit for inputting information necessary for processing of the system 1 to the system 1 and an output unit for performing output from the system 1 to the outside. For example, it is configured as a known network board.

  The storage unit 20 is a storage unit that stores various types of information necessary for the processing of the system 1, and is configured by, for example, a hard disk or other recording medium, and is a company information database (hereinafter referred to as “DB”). 21), a division table 22, a company attribute table 23, a BM type table 24, an evaluation table 25, an extraction parameter 26, and an evaluation report 27 are stored. A configuration example of each DB or table will be described later. Although not shown, this program is installed in the storage unit 20. The program is read from an arbitrary recording medium including a CD-ROM or DVD by a reading device (not shown) of the system 1 or transmitted by communication via the network 3 and installed in the storage unit 20 to be described later. Each part of the control part 30 to perform is comprised substantially.

  The control unit 30 is a control unit that controls each unit of the system 1, and includes, for example, a CPU (Central Processing Unit), various programs interpreted and executed on the CPU (control programs such as an OS, and various processes). A program defining the procedure and this program), and an internal memory for storing the required program and required data. This control unit 30 is functionally conceptually a BM type recommendation unit 31 that is a type information recommendation unit, an extraction parameter setting unit 32, a comparison target extraction unit 33 that is a comparison target extraction unit, an analysis unit 34 that is an analysis unit, and an evaluation. An evaluation unit 35 as a means and an output unit 36 as an output means are provided. Specific processing contents of these units will be described later.

(Configuration-terminal device)
The terminal device 2 is a terminal for the person in charge of each company A to Z to transmit company information to the system 1 and to view output from the system 1. The specific configuration of the terminal device 2 is arbitrary. For example, the terminal device 2 can be configured in the same manner as a known personal computer, and includes at least input means such as a keyboard and a mouse, display means such as a monitor, or a printer. A printing unit (not shown) is provided.

(Configuration-Network)
The network 3 is a connection line that connects the system 1 and the terminal device 2 in a communicable manner. The specific configuration of the network 3 is arbitrary. For example, the network 3 is a wide area network including the Internet, a LAN (Local Area Network), or a VPN (Virtual Private Network) using these as a backbone.

(Configuration-Configuration example of DB and table of this system)
Next, configuration examples of DBs and tables stored in the storage unit 20 of the system 1 described above will be described. However, the following contents are merely examples, information other than the information shown below can be included, or some of the information shown below can be excluded.

  The company information DB 21 in FIG. 1 is information relating to an evaluation subject and a comparison subject, and is company information means for storing analysis target information (hereinafter “company information”) corresponding to each of a plurality of predetermined indexes. As shown in the configuration example of FIG. 2, the company information includes an item “company ID”, an item “financial index”, and an item “productivity index”. The item “financial index” includes the item “factory gross margin”. , Item “number of inventory rotations”, item “labor share”, etc., and item “productivity index” includes item “total efficiency”, item “direct efficiency”, and item “production LT (lead time)”. The item “company ID” is evaluation subject identification information (or comparison subject identification information) for uniquely identifying each company, and here, “company A” to “company Z”, which are company names of the respective companies. Is stored. As information corresponding to other items, information indicated by the names of the respective items (factory gross margin, inventory speed, etc.) is stored in association with the company ID. The company information is transmitted to the system 1 via the terminal devices 2 of the companies A to Z, for example, every predetermined period (for example, every day or every month) and stored in the company information DB 21. However, the company information is not limited to information provided specifically for the system 1. For example, the information presented from each company A to Z when providing an arbitrary ASP service is used. It can be used with permission of Z. In addition to the information shown in the configuration examples of FIGS. 2 and 5, the analysis target information of the evaluation target person and the comparison target person and the evaluation standard information stored in the evaluation table 25 of FIG. Any information can be included. For example, “management indicators” and “environmental indicators” can be included as “financial indicators”, or “quality indicators”, “delivery date indicators”, “cost indicators” or “safety and health morals” as “productivity indicators” Indicator "can be included. “Management indicators” include, for example, “factory gross margin on sales”, “inventory turnover rate”, “labor distribution rate”, “factory return on plant assets”, “factory total asset turnover rate”, “value added per person” Include "Amount", "Value-to-Management Expense Ratio", "Capital Investment Ratio", "IT Investment Ratio", "R & D Ratio", or "Factory CF (Cash Flow)" be able to. “Environmental indicators” include, for example, “environmental rate of return”, “environmental effect rate”, “environmental impact profit index”, “social cost profit rate”, “sales emission ratio”, or “value added emission” Ratio ”can be included (where the emissions in the sales emission ratio and the added value emission ratio are the converted values of CO2, chemical substances, waste, etc.). The “quality index” may include, for example, “number of complaints”, “in-process defect rate”, “straightness rate”, “retouching rate”, and “yield rate”. The “delivery date index” can include, for example, “delivery date compliance rate”, “manufacturing LT (lead time)”, “number of undelivered cases”, “inventory days”, and “out-of-stock rate”. Examples of the “cost index” include “total efficiency”, “direct efficiency”, “indirect efficiency”, “equipment total efficiency”, “operation rate”, “operability rate”, “production cost rate”, “volume / MH” (Man-hours) "can be included. As the “safety and health moral index”, for example, “the number of disasters”, “the number of national certification technicians”, “the number of multi-skilled workers”, “the number of improvement proposals / person” can be included. Alternatively, other information useful for evaluating various states of the company from various aspects can be included.

  The division table 22 in FIG. 1 is a division information storage unit that stores division information (hereinafter referred to as “division”) for dividing attribute information. As shown in the configuration example of FIG. 3A, the classification information includes an item “scale”, and the item “scale” includes an item “shipment amount (100 million yen)” and an item “number of employees”. As information corresponding to each item, a threshold value for defining each section is stored. Here, the lower limit value of each category is stored as the threshold value. For example, “0”, “100”, “200”, “500”... “5000” is stored for the item “number of employees”. "0 to 99", "100 to 199", "200 to 499", "500 to 999" ... "5000 or more" are grouped in the same category. Indicates that However, the specific setting method of the category information is arbitrary. For example, range information including a lower limit value and an upper limit value may be set, or a calculation formula using various parameters may be set. This division is set in the division table 22 by any means by the administrator of the system 1.

  The company attribute table 23 in FIG. 1 is attribute information storage means for storing attribute information (hereinafter, “company attribute information”) of the evaluation subject and the comparison subject. The company attribute information includes an item “company ID”, an item “scale”, and an item “business category” as shown in the configuration example of FIG. The item “scale” includes the item “shipment amount (100 million yen)” and the item “number of employees”, and the item “business category” includes the item “business type”. The information corresponding to the item “company ID” is the same as the information corresponding to the same item in the company information DB 21. As information corresponding to each other item, information indicated by the name of each item is stored in association with the company ID. This attribute information is acquired via the terminal devices 2 of the respective companies A to Z, for example, in the same manner as the company information. In addition, as each attribute information of an evaluation object person and a comparison object person, arbitrary information can be included besides the information shown in the structural example of FIG.3 (b). For example, company attribute information includes capital, sales, profits, number of employees, average employee age, date of establishment, stock listing, number of overseas bases, value added, amount of raw materials used, cash salary, transactions Number of prior companies, male / female ratio, proper ratio, nationality, location, number of lines owned, manufactured items, industry type, production system (separate line production and cell production, etc.), or other relationships between companies Information that can be used to identify

  The BM type table 24 of FIG. 1 is a type information storage unit that stores type information (hereinafter referred to as “BM type”) for specifying the type of a comparison target person to be compared based on company attribute information. As shown in the configuration example of FIG. 4, the BM type includes an item “company ID”, an item “type ID”, an item “scale”, and an item “business type”. The item “scale” (Billions of yen) ”and the item“ Number of employees ”, and the item“ Business category ”includes the item“ Industry ”. The information corresponding to the item “company ID” is the same as the information corresponding to the same item in the company information DB 21. As information corresponding to the item “type ID”, a type number (“type 1” to “type 4” in FIG. 4) is stored as identification information for uniquely specifying a combination of BM types. For example, in the case of type ID = type 1, a comparison target person having attribute information that matches a combination of “shipment amount = all targets”, “number of employees = all targets”, and “industry = all targets” Means to be compared.

  Here, the information stored corresponding to the item “shipping amount”, the item “number of employees”, or the item “business type” is roughly classified into “all targets”, “direct values”, and “same size”. “All Targets” is information that means that “All Shipments”, “All Employees”, or “All Industries” is to be compared. For example, for “Shipment” When the information “all targets” is stored as the information, the comparison target person is selected so that the comparison target person of “all shipping amounts” becomes the comparison target. “Direct value” is information that specifically identifies “value” and “type” of “shipment value”, “number of employees”, or “industry”, specifically as numerical data or text data. Entered. For example, when numerical data “5000 to” is stored as information for the item “shipment amount”, the comparison target is set so that only the comparison target “shipment amount of 5000 (billion yen) or more” is the comparison target. Person is selected. Alternatively, for example, when the text data “transportation equipment” is stored as information for the item “industry”, the comparison target person is selected so that the comparison target person of “transportation equipment industry type” only becomes the comparison target. The “Same size” is information that means that the comparison target of “shipment amount”, “number of employees”, or “industry” of the same size as the evaluation target is to be compared. In the case of the target person, when the information “same size” is stored as the information for the item “shipping amount”, the comparison target person only having the shipping amount of the same scale as the shipping amount of the company A is the comparison target. In this way, a comparison target person is selected. A specific range included in the “same size” is determined with reference to the above-described division table 22 in FIG. This type information is accumulated when the administrator of the system 1 sets it in the BM type table 24 by any means based on requests from the companies A to Z.

  It should be noted that BM types that specify “shipment amount = all targets”, “number of employees = all targets”, and “industry = all targets” like “BM type = type 1” in FIG. It can be said that it is a BM type for designating “all comparison subjects (or“ company ”when the comparison subject is a company”). In addition, when the business type of the evaluation target person is “transportation equipment”, “shipment amount = all targets”, “number of employees = all targets”, and “sectors” as “BM type = type 2” in FIG. The BM type for designating “= transport equipment” is a BM type for designating “same type of industry”. As shown in “BM type = type 3” in FIG. 4, “shipment amount = same size”, “number of employees” = ”Same size” and “BM type = transport equipment” can be said to be BM types for specifying “Same size, same size”. Alternatively, when the business type of the evaluation subject is “transportation equipment” and the shipping amount is 5000 (billion yen) or more, “BM type = type 4” in FIG. 4, “shipping amount = 5000 or more”, It can be said that the BM type for designating “number of employees = same size” and “industry = electronic precision” is the BM type for designating “different industry”.

  The evaluation table 25 in FIG. 1 is an evaluation standard information storage unit that stores evaluation standard information for the analysis value calculated by the analysis unit 34. As shown in the configuration example of FIG. 5, the evaluation standard information includes an item “financial index” and an item “productivity index”. The item “financial index” includes the item “factory gross margin” and the item “stock turnover”. , Item “labor share”, etc., and item “productivity index” includes item “total efficiency”, item “direct efficiency”, and item “production LT (lead time)”. Items corresponding to these items include an item “deviation value” and an item “upper limit value”, and the item “deviation value” includes an item “greater than” and an item “less than”. The information corresponding to the item “above” is the “lower limit value” of the specified range of deviation values, and the information corresponding to the item “less than” is the “upper limit value” of the specified range of deviation values. For example, the item “above” = 50 and the item “less than” = 60 indicates that the prescribed range of the deviation value is “from 50 to less than 60”. The information corresponding to the item “upper limit value” is the “upper limit value (a value that cannot be expected to be further improved)” of each index. For example, the item “upper limit value = 25” is included in the item “factory gross margin”. When stored, the upper limit value of the factory gross profit rate is 25, which means that improvement of the factory gross profit rate to 25 or more cannot be expected. The evaluation reference information is set in the evaluation table 25 by an arbitrary means by the administrator of the system 1.

  These company information, classification information, company attribute information, and evaluation criteria information are prepared prior to execution of a benchmark process described later. The extraction parameter 26 and the evaluation report 27 are generated as a result of execution of the benchmark process. . A configuration example of the extraction parameter 26 and the evaluation report 27 will be described later.

(processing)
Next, benchmark processing performed by executing this program in the system 1 of FIG. 1 will be described. FIG. 6 is a flowchart of the benchmark process. This process is started for a person to be evaluated designated by a person in charge of one of the companies A to Z (hereinafter referred to as a user) accessing the system 1 via the terminal device 2 and specifying it. The person in charge can designate his company as an evaluation subject, or can designate another company as an evaluation subject. In the following description, it is assumed that company A is designated as the evaluation subject. As for the comparison target person, the user may specify one or a plurality of companies of company A to company Z via the terminal device 2, but here, all companies other than the evaluation target person Explanation will be made assuming that B to Company Z are to be compared. In this process, a BM type recommendation process (SA1), an extraction parameter setting process (SA2), a comparison target extraction process (SA3), an analysis process (SA4), an evaluation process (SA5), and an output process (SA6) are sequentially executed. The Further, in the following description, each process is performed at an arbitrary timing except for a special timing, and a process is performed by the control unit 30 except for a subject to be specially described. In the case of not doing so, it is assumed that the system 1 is input via the terminal device 2 or other arbitrary means at a known timing and a known method. “Step” is abbreviated as “S”.

(Processing-BM type recommended processing)
First, the BM type recommendation process (SA1) in FIG. 6 will be described. This process is a process of recommending and automatically adding other BM types to the BM types registered in the BM type table 24 based on the wishes of the companies A to Z. In other words, when there are many combinations of BMs as BM types, it is possible to simply perform sequential evaluation for all BM types, but it may be inefficient to evaluate all BM types. Many. Therefore, in the present embodiment, Company A to Company Z can register a predetermined number (four in this case) of the desired BM types in the BM type table 24, and evaluate the registered BM types. Based on. However, among the BM types other than the BM type desired by the user, there is a possibility that there are BM types effective for the evaluation of the companies A to Z. Therefore, by the BM type recommendation process, a predetermined number of BM types that are effective for the evaluation of the company A to the company Z and are not yet registered in the BM type table 24 as the BM types of the company A to the company Z (here, one) BM type is automatically selected and additionally registered in the BM type table 24.

  Specifically, as shown in the flowchart of the BM type recommendation process in FIG. 7, the BM type recommendation unit 31 refers to the BM type table 24 and registers each BM type registered in the BM type table 24. The number is counted, and the BM types are ranked in descending order of the number of registered companies (SB1). Next, the BM type recommendation unit 31 is a BM type that is not included in the BM type of the evaluation subject (here, company A) registered in the BM type table 24, and the ranking ranking performed in SB1 is performed. A high predetermined number (here, one) of BM types (that is, the BM types stored in association with the largest number of evaluation target persons) is set as the BM type of the evaluation target person (company A in this case). It is additionally registered in the type table 24 (SB2).

  For example, there are BM types from “Type 1” to “Type 100”, the number of registered companies of “Type 5” is “20”, which is first, and the BM type of Company A registered in the BM type table 24 If “type 5” is not included in “No. 5”, “type 5” is registered in the BM type table 24 as the BM type of company A. This ends the BM type recommendation process.

(Processing-Extraction parameter setting processing)
Next, the extraction parameter setting process (SA2) in FIG. 6 will be described. This process is a process of setting an extraction parameter 26 for specifying company information to be extracted as analysis target data from the company information DB 21 based on the BM type of the evaluation subject (here, company A). FIG. 8 illustrates a flowchart of the extraction parameter setting process, and FIG. 9 illustrates the extraction parameter 26 of the company A set by the extraction parameter setting process.

  Specifically, the extraction parameter setting unit 32 acquires the BM type of the person to be evaluated (here, company A) from the BM type table 24 after the BM is additionally registered in the BM type recommendation process (SC1). (However, the BM type in which the BM is additionally registered in the BM type recommendation process is omitted from FIG. 9). Here, all the BM types of the evaluation subject are acquired, but only one or a plurality of BM types specified by the user via the terminal device 2 may be acquired. Then, the extraction parameter setting unit 32 sets the extraction parameter 26 for each of the BM types acquired in this way. For example, when the BM type is “all objects” (SC2, Yes), the BM type is used as a predetermined identifier (here, “*”) indicating that the BM type is “all objects”. And the extracted parameter 26 is set (SC3). It should be noted that the replacement with the identifier is performed in order to speed up the data identification process, and when this is not necessary, “all objects” is set in the extraction parameter 26 as it is. May be.

  Further, when the BM type is not “all objects” but “direct value” (SC2, No, SC4, Yes), the extraction parameter setting unit 32 sets this “direct value” as it is in the extraction parameter 26. (SC5).

  Alternatively, when the BM type is not “all objects” and “direct value” (that is, “same scale”) (SC4, No), the extraction parameter setting unit 32 determines the company attribute table 23 and the classification table. Referring to FIG. 22, the company A identifies the corresponding category (SC6), replaces the BM type with a value indicating the identified category, and sets the extracted parameter 26 (SC7). For example, when the information of the company A in the item “shipping amount” of the BM type table 24 is “same size”, the “shipping amount = 220” of the company A is obtained by referring to the company attribute table 23, Referring to the table 22, the category to which “shipment amount = 220” belongs is specified. In this example, since “shipment amount = 220” is located between the thresholds “100” and “500”, it can be seen that it belongs to the category “100 to 499”. Set to the extraction parameter 26.

  Such SC2 to SC7 are repeated until there is no unprocessed BM type (SC8), and when there is no unprocessed BM type (SC8, Yes), the extraction parameter 26 set in this way is stored in the storage unit 20. Then, the extraction parameter setting process is terminated.

(Processing-comparison target extraction processing)
Next, the comparison target extraction process (SA3) in FIG. 6 will be described. This process is a process for extracting the company information actually to be compared from the company information of the person to be compared (here, company B to company Z). Specifically, as shown in the flowchart of the comparison target extraction process in FIG. 10, the comparison target extraction unit 33 acquires the extraction parameter 26 set in the extraction parameter setting process from the storage unit 20 (SD1). A company having an attribute that matches each of the BM types included in the extraction parameter 26 is specified with reference to the company attribute table 23 (SD2). For example, when “BM type = type 1” of the extraction parameter 26 of company A is “shipment amount = *”, “number of employees = *”, and “business type = *”, the attributes that match the extraction parameter 26 Are identified as being all Company B through Company Z. Alternatively, when “BM type = type 3” of the extraction parameter 26 is “shipment amount = 100 to 499”, “number of employees = 200 to 499”, and “industry = transport equipment”, it matches the extraction parameter 26. The company having the attribute to be identified is identified as Company D to Company Z. Next, the comparison target extraction unit 33 acquires all company information of the company specified in SD2 from the company information DB 21 (SC3). This completes the comparison target extraction process.

(Processing-analysis processing)
Next, the analysis process (SA4) in FIG. 6 will be described. This process is a process for calculating the BM value based on the company information extracted in the comparison target extraction process. Specifically, as shown in the flowchart of the analysis process in FIG. 11, the analysis unit 34 calculates “BM value” and “deviation value” for each data (each index) included in each company information for each BM type. Calculate (SE1, SE2). Here, the “average value” of the company information of the comparison target person is calculated as the “BM value”. As “deviation value”, “deviation value of company information of evaluation subject with respect to company information of comparison subject” is calculated. A specific method for calculating the deviation value is known, but “deviation value = (“ company information of evaluation target person ”−“ average value of company information of evaluation target person and company information of comparison target person ”) /“ It is calculated as “standard deviation“ × 10 + 50 ”of the company information of the evaluation subject and the company information of the comparison subject.

  FIG. 12 shows the concept of calculation by analysis processing. The example of FIG. 12 is based on company information (company information of company D to company Z) extracted as corresponding to “type ID = type 3 (same size of same industry)” in the BM type table 24 of FIG. It is an example. For example, as the BM value of “BM = factory gross margin”, “average value = 22.7” of “factory gross margin of company D = 15.0” to “factory gross margin of company Z = 28.0” is calculated. Is done. Further, for example, as a deviation value of “BM = factory gross margin”, “company G factory gross margin = 25.0” with respect to “company D factory gross margin = 15.0” to “company Z factory gross margin = 28.0”. .7 (Gross margin for October in the example of FIG. 12) ”is calculated as“ deviation value = 48.5 ”. This completes the analysis process. Here, as described above, an example is described in which the BM type is specified by specifying the type of the comparison target person. Therefore, the data corresponding to all the BM types included in the extraction parameter set in the extraction parameter setting process, and all the data extracted in the comparison target extraction process are defined as BMs. The average value as “value” is calculated. However, only one or a plurality of data specified by the user via the terminal device 2 may be used as the BM. For example, only the “factory gross margin” may be used as the BM, and the average value may be calculated. In addition, in the example of FIG. 12, an example is shown in which the deviation value based on the company information in October of company A, which is the evaluation target, is calculated, but the company information for each month or year included in the company information. The deviation value based on can be calculated.

(Processing-Evaluation processing)
Next, the evaluation process (SA5) in FIG. 6 will be described. This process is a process for evaluating the analysis value calculated by the analysis unit 34 based on the evaluation reference information stored in the evaluation table 25. FIG. 13 shows a flowchart of the evaluation process. Specifically, the evaluation unit 35 acquires evaluation reference information from the evaluation table 25 (SF1). Next, the evaluation unit 35 determines that each deviation value calculated by the analysis unit 34 is equal to or greater than the specified range of deviation values stored in the evaluation table 25 (greater than the upper limit value of the specified range) (SF2, Yes). ), The evaluation of the BM is “◎” (SF3). On the other hand, when the deviation value is not equal to or greater than the specified range (SF2, No), the evaluation unit 35 determines the upper limit value of the actual value in which the actual value of the company A that is the evaluation target corresponding to the deviation value is stored in the evaluation table 25. It is determined whether it is above (SF4), and when it is equal to or higher than the upper limit value of the actual value (SF4, Yes), the BM is evaluated as “◯” (SF5). Alternatively, when the evaluation unit 35 is not equal to or higher than the upper limit value of the actual value (SF4, No), whether or not the deviation value of the BM is within a specified range (less than the upper limit value of the specified range and equal to or higher than the lower limit value). When it is determined (SF6) and is within the specified range (SF6, Yes), the evaluation of the BM is set to “Δ” (SF7), and when it is not within the specified range (SF6, No), the evaluation of the BM Is “x” (SF8).

  Here, “evaluation = ◎” means “the evaluation target is superior to the comparison target and should maintain the status quo”, and “evaluation = ○” means that the performance of the evaluation target is limited. "Evaluation = △" means "the evaluation subject's performance is the industry level of the subject of the evaluation subject or the comparison subject, but the subject of comparison. This means that it should be improved after the BM of “evaluation = x” in order to gain an advantage if it is removed from the evaluator. “Evaluation = x” means that the performance of the evaluation subject is higher than that of the evaluation subject. Since it is inferior, it means that improvement should be preferentially performed in the order of BM having a low deviation value. The evaluation unit 35 performs such evaluations from SF2 to SF8 on all the BMs (SF9), and after the evaluation on all the BMs is completed (SF9, Yes), the process proceeds to the next SF10.

  In this SF10, the evaluation unit 35 sets the improvement priority of the BM having the lowest deviation value to “1” among the BMs evaluated as “evaluation = ×” in SF8 (SF10). Among the BMs evaluated as “x”, the improvement priority of the BM having the next lowest deviation value is set to “2” (SF11). Here, the improvement priority indicates the priority between BMs to be improved by the evaluation target person, and “1” has the highest priority and “2” has the next highest priority. Indicates. This ends the evaluation process.

  Note that the flowchart shown in FIG. 13 is an example, and the evaluation may be performed by other methods. FIG. 14 shows a flowchart of the evaluation process according to such a modification. Each of SG1 to SG3 and SG9 to SG11 in this flowchart is the same as SF1 to SF3 and SF9 to SF11 in FIG. It is first determined whether or not the deviation value of each BM is within the specified range of the deviation value. Only when the deviation value is not within the specified range, it is determined whether or not the actual value of each BM is greater than or equal to the upper limit value of the actual value. Specifically, the evaluation unit 35 defines the deviation value when the deviation value of each BM calculated by the analysis unit 34 is not equal to or greater than the prescribed range of the deviation value stored in the evaluation table 25 (SG2, No). It is determined whether it is within the range (less than the upper limit value of the specified range and greater than or equal to the lower limit value) (SG4), and if it is within the specified range (SG4, Yes), the evaluation of the BM is set to “◯”. (SG5). On the other hand, when it is not within the specified range (SG4, No), the evaluation unit 35 has the actual value of the company A that is the evaluation target corresponding to the deviation value equal to or higher than the upper limit value of the actual value stored in the evaluation table 25. (SG6), if it is equal to or higher than the upper limit value of the actual value (SG6, Yes), the BM is evaluated as “Δ” (SG7). (SG6, No), the evaluation of the BM is “x” (SG8). In addition to this modification, evaluation can be performed by variously combining the judgment results of the deviation value and the actual value, for example, the evaluation is performed based on the judgment result of either the deviation value or the actual value. The evaluation may be performed by combining the determination results of high and low with respect to other arbitrary indexes.

(Processing-Output processing)
Finally, the output process (SA6) in FIG. 6 will be described. This process is a process of outputting the evaluation of the evaluation unit 35 to the evaluation target person in a report format (form format). For example, the output unit 36 is a report configured by associating the BM value and the deviation value calculated in the analysis process with the evaluation result in the evaluation process, and generates an evaluation report 27 in a predetermined format. Then, the evaluation report 27 is stored in the storage unit 20 and is output to the terminal device 2 of the evaluation target person via the network 3.

  For example, as shown in FIG. 15, the evaluation report 27 includes the “BM value”, “deviation value”, “actual data (October data in the example of FIG. 15)”, “evaluation”, and “improvement”. “Priority” is configured in association with each other. The evaluation report 27 may be created for each evaluated BM type, or may be created to include all BM types. The evaluation report 27 is output to the monitor of the terminal device 2 or printed from the printer of the terminal device 2 by the operation of the administrator of the evaluation target person, so that the evaluation target recognizes the evaluation result and the like. . This completes the output process.

(effect)
As described above, according to the first embodiment, the type of the comparison target person to be compared is automatically specified, and analysis is performed based on the analysis target information of the specified comparison target person and the analysis target information of the evaluation target person. Since the value is calculated and output, even if the amount of information to be analyzed is enormous, it is possible to easily obtain a benchmark that matches the needs of the evaluation target, and to provide useful information for business improvement, etc. It can be provided to the evaluation target person.

  In addition, since the comparison target person having attribute information that matches the category to which the attribute information of the evaluation target person belongs is automatically extracted, even if there is a comparison target person having various attribute information, the evaluation target Since the comparison object person who performs comparison with respect to the person can be specified in the classification unit, these comparison object persons can be specified more appropriately based on the attribute information.

  Further, since the average value and the deviation value for each index included in the analysis target information are automatically calculated, it is possible to examine improvement of the business of the evaluation subject based on the average value and the deviation value.

  In addition, since the calculated analysis value is automatically evaluated based on the evaluation criteria information, the evaluation subject can easily and accurately grasp the evaluation of the analysis value, and the improvement of the business can be considered quickly. be able to.

  In addition, since the quality of the analysis value is automatically evaluated, the evaluation subject can easily and accurately grasp the quality of the analysis value, and the improvement of the business can be examined more quickly.

  In addition, since the index of improvement target with high priority is automatically determined, the evaluation target can easily and accurately grasp the target to be improved preferentially, and the improvement of the business is considered more quickly. be able to.

  In addition, since a predetermined number of types of information with a large number of stored items are automatically added, not only the types of benchmarks that the evaluation target person desires but also the types of useful benchmarks that are widely adopted by other evaluation target persons It is possible to perform evaluation based on the evaluation, and it is possible to perform business evaluation and the like from the viewpoint that the evaluation target person does not notice.

[Embodiment 2]
Next, a second embodiment will be described. This form is a form in which the evaluation is performed based on the data of the comparison target extracted according to the purpose of the evaluation. However, the configuration and processing of the second embodiment are the same as the configuration and processing of the first embodiment unless otherwise described, and are denoted by the same reference numerals as those used in the first embodiment. Description is omitted.

(Constitution)
First, the configuration of this system will be described. The company information stored in the company information DB 21 of the storage unit 20 of the system 1 is obtained by adding an item “management index” to the company information of FIG. 2 as shown in the configuration example of FIG. . The item “management index” includes an item “sales”, an item “operating profit”, an item “monthly average stock price”, and the like. As information corresponding to each item, information (sales, operating profit, monthly average stock price) indicated by the name of each item is stored in association with the company ID.

  Further, the company attribute information stored in the company attribute table 23 includes, as shown in the configuration example of FIG. 17A, as items included in the item “business category” of the company attribute information of FIG. "Product" is added and configured. The information corresponding to the item “product” is information indicating the type of product manufactured by each company.

  In addition, the storage unit 20 of the system 1 includes a BM purpose table 28. This BM purpose table 28 is information (hereinafter referred to as “object-specific attribute information”) in which the purpose of evaluation and information for specifying a combination of attribute information types and ranges according to the purpose of the evaluation are associated with each other. )) For storing purpose-specific attribute information. The purpose-specific attribute information includes an item “purpose”, an item “scale”, and an item “business type” as shown in the configuration example of FIG. 17B. The item “scale” includes the item “shipment amount (100 million Yen) ”and the item“ Number of employees ”, and the item“ Business category ”includes the item“ Industry ”and the item“ Product ”. The information corresponding to the item “purpose” is information for specifying the purpose of the evaluation, and here includes “finance”, “productivity”, and “management”.

  The information corresponding to the other items is the same as the information corresponding to the same item in the company attribute table 23. However, it is assumed that “same industry” can be included as information corresponding to the item “industry”, and “same product” can be included as information corresponding to the item “product”. The “same industry” is information that means that an evaluation target person and a comparison target person in the same industry are to be compared. The “same product” is information that means that an evaluation subject and a comparison subject who manufactures the product are to be compared.

  The purpose-specific attribute information is predetermined and stored in the BM purpose table 28 so that the BM type corresponding to the purpose of evaluation is specified. For example, when the item “Purpose” = finance, the objective is to evaluate the financial condition of the person being evaluated. For this purpose, all the comparison persons in the same industry as the person being evaluated are targeted. Since it is considered effective to perform the comparison, a combination of shipping amount = all targets, number of employees = all targets, industry = same industry, product = all targets is set. In addition, when the item “purpose” = productivity, the objective is to evaluate the productivity of the evaluation target. For this purpose, the same product is manufactured in the same industry and the same scale as the evaluation target. Since it is considered effective to make a comparison for the person to be compared, the combination of shipping amount = same size, number of employees = same size, industry = same industry, product = same product is set. Alternatively, if the item “Purpose” = Management, the objective is to evaluate the management status of the evaluation target, and for this purpose, the target is the same type of comparison target as the evaluation target. Since it is considered effective to make a comparison, the combination of shipment amount = same size, number of employees = same size, industry = same industry, product = all targets (that is, all products) is set. However, the BM purpose table 28 may store purpose-specific attribute information for specifying the BM type according to the purpose other than the purpose shown in the present embodiment, or the purpose shown in the present embodiment. Even when the BM type corresponding to the above is specified, information different from the above may be stored.

(processing)
Next, the benchmark process will be described. In this process, for example, a person in charge of one of the companies A to Z (hereinafter referred to as a user) accesses the system 1 via the terminal device 2 and performs the process according to the second embodiment. Triggered when you specify to select. At this time, the user designates the evaluation target person as in the first embodiment. At this time, the user designates one evaluation purpose from the information “finance”, “productivity”, and “management” corresponding to the item “purpose” in the BM purpose table 28. In this process, the BM type recommendation process is omitted from the process of the first embodiment, and the extraction parameter setting process, the comparison target extraction process, the analysis process, the evaluation process, and the output process are sequentially executed.

(Processing-Extraction parameter setting processing)
First, the extraction parameter setting process will be described. This process is a process of setting an extraction parameter 26 for specifying company information to be extracted as analysis target data from the company information DB 21 based on the BM type of the evaluation subject (here, company A). FIG. 18 illustrates a flowchart of the extraction parameter setting process.

  Specifically, the extraction parameter setting unit 32 acquires the BM type corresponding to the evaluation purpose designated by the user from the BM purpose table 28 (SH1). For example, when management is designated as the purpose of evaluation, shipment amount = same size, number of employees = same size, industry = same industry, product = all targets are acquired as BM types. Then, the extraction parameter setting unit 32 sets the extraction parameter 26 for each of the BM types acquired in this way. For example, when the BM type is “all objects” (SH2, Yes), the BM type is used as a predetermined identifier (here, “*”) indicating that the BM type is “all objects”. And is set in the extraction parameter 26 (SH3).

  Further, when the BM type is “direct value” instead of “all targets” (SH2, No, SH4, Yes), the extraction parameter setting unit 32 sets the “direct value” as it is in the extraction parameter 26. (SH5).

  Alternatively, when the BM type is “same scale” (SH6, Yes), the extraction parameter setting unit 32 refers to the company attribute table 23 and the classification table 22 and performs the extraction parameter setting process in the first embodiment. Similarly, the extraction parameter 26 is set (SH7, SH8).

  Alternatively, when the BM type is not “same size” (that is, when the BM type is “same industry” or “same product”) (SH6, No), the extraction parameter setting unit 32 (No in SH6). , The business type and product of the person to be evaluated (here, company A) are acquired, and the acquired business type and product are set in the extraction parameter 26 (SH9).

  Such SH2 to SH9 are repeated until there is no unprocessed BM type (SH10). When there is no unprocessed BM type (SH10, Yes), the extraction parameter 26 set in this way is stored in the storage unit 20. Then, the extraction parameter setting process is terminated.

  FIG. 19 illustrates the extraction parameter 26 of company A set by the extraction parameter setting process. (A) is an extraction parameter 26 when “finance” is designated as the purpose of evaluation, (b) is an extraction parameter 26 when “productivity” is designated as the purpose of evaluation, and (c) is This is an extraction parameter 26 when “management” is designated as the purpose of evaluation.

(Processing-comparison target extraction processing)
Next, the comparison target extraction process will be described. This process is a process for extracting the company information actually to be compared from the company information of the person to be compared (here, company B to company Z). Specifically, as shown in the flowchart of the comparison target extraction process in FIG. 20, the comparison target extraction unit 33 extracts the extraction parameters set in the extraction parameter setting process, as in the comparison target extraction process of the first embodiment. 26 is acquired from the storage unit 20 (SI1), and a company having an attribute that matches the extraction parameter 26 is specified with reference to the company attribute table 23 (SI2).

  Next, the comparison target extraction unit 33 acquires, from the company information DB 21, company information that matches the purpose of the evaluation previously specified by the user among all company information of the company specified in SD2 (SI3). . For example, if “Finance” is specified as the purpose of evaluation, information corresponding to each item included in the item “Financial Indicators” in the company information is acquired, and “Productivity” is set as the purpose of evaluation. If specified, information corresponding to each item included in the item “productivity index” in the company information is acquired, and if “management” is specified for the purpose of evaluation, the company information The information corresponding to each item included in the item “management index” is acquired. This completes the comparison target extraction process. FIG. 21 shows an example of company information acquired corresponding to the purpose of each evaluation when the evaluation subject is company A.

(Processing-Other processing)
Thereafter, based on the company information acquired in the comparison target extraction process, the analysis process, the evaluation process, and the output process are sequentially executed as in the first embodiment.

(effect)
As described above, according to the second embodiment, when one or a plurality of evaluation objectives are specified from a plurality of evaluation objectives, the type of attribute information corresponding to each of the specified evaluation objectives Benchmark evaluation is performed based on the combination of the target and the range, so it is possible to perform benchmark evaluation that matches the evaluation target of the evaluation target person, and even if the evaluation target person is not familiar with the benchmark, It becomes possible to carry out accurately.

[Embodiment 3]
Next, Embodiment 3 will be described. This form is a form which evaluates on the conditions which considered growth property. However, the configuration and processing of the third embodiment are the same as the configuration and processing of the first embodiment unless otherwise specified, and are denoted by the same reference numerals as those used in the first embodiment. Description is omitted.

(Constitution)
First, the configuration of this system will be described. The type information stored in the BM type table 24 of the storage unit 20 of the system 1 is substantially the same as the type information of FIG. 4 as shown in the configuration example of FIG. 22, but includes the item “growth”. The item “business category” is different in that it includes the item “product”. The information corresponding to the item “product” is information indicating the type of product manufactured by each company. The item “growth” is an item for specifying the growth potential of the comparison target person, and includes, for example, the item “target period”, the item “sales increase rate”, and the item “stock price increase rate”. As information corresponding to each item, information (product, target period, sales increase rate, stock price increase rate) indicated by the name of each item is stored.

(processing)
Next, the benchmark process will be described. In this process, for example, a person in charge of one of the companies A to Z (hereinafter referred to as a user) accesses the system 1 via the terminal device 2 and performs the process according to the third embodiment. As in the first embodiment, the BM type recommendation process, the extraction parameter setting process, the comparison target extraction process, the analysis process, the evaluation process, and the output process are sequentially executed. In the following description, it is assumed that the company A is designated as the evaluation target person, and all the companies B to Z other than the evaluation target person are the comparison target persons.

(Processing-BM type recommended processing)
First, the BM type recommendation process is performed in the same manner as in the first embodiment, and the evaluation target person (here, company) is applied to the BM types registered in the BM type table 24 based on the wishes of the companies A to Z. A predetermined number (here, one) of BM types that are not included in the BM type of A) and have a high ranking based on the number of registrations are additionally registered.

(Processing-Extraction parameter setting processing)
Next, the extraction parameter setting process is performed in the same manner as in the first embodiment, and the company information to be extracted as analysis target data from the company information DB 21 is specified based on the BM type of the evaluation subject (here, company A). The extraction parameter 26 for this is set. FIG. 23 exemplifies the extraction parameter 26 of company A set by this extraction parameter setting process (however, the extraction parameter corresponding to the BM type in which BM is additionally registered in the BM type recommendation process is omitted from FIG. 23). ).

(Processing-comparison target extraction processing)
Next, the comparison target extraction process will be described. This process is a process for extracting the company information actually to be compared from the company information of the person to be compared (here, company B to company Z). Specifically, as shown in the flowchart of the comparison target extraction process in FIG. 24, the comparison target extraction unit 33 extracts the extraction parameters set in the extraction parameter setting process as in the comparison target extraction process of the first embodiment. 26 is acquired from the storage unit 20 (SJ1), and a company having an attribute that matches the extraction parameter 26 is specified with reference to the company attribute table 23 (SJ2).

  Next, the comparison target extraction unit 33 acquires all company information of the company specified in SD2 from the company information DB 21 (SJ4). However, if information other than “all targets” is stored corresponding to the item “growth” in the BM type of the extraction parameter 26 (SJ3, Yes), the comparison target extraction unit 33 Only company information of a company having growth potential equal to or higher than the growth potential specified by the information (hereinafter “target growth potential”) is acquired as company information corresponding to the BM type (SJ5).

  For example, in the extraction parameter 26 of FIG. 23, for BM type = type 2, the target period = 6 months and the sales increase rate = 10% are stored corresponding to the item “growth”. Only company information of a company having a growth potential or more specified by the information (that is, a sales increase rate of 10% or more in the last six months) or more is acquired as company information corresponding to BM type = type 2. Specifically, the comparison target extraction unit 33 refers to the company information in the company information DB 21 and calculates the sales increase rate in the target period specified by the extraction parameter 26 for each company. That is, as described above, the company information in the company information DB 21 is stored every predetermined period (for example, every day or every month), so that the latest sales at that time and the target period go back from that time. The sales increase at the time is calculated by subtracting the latter sales from the former sales, dividing the result of the subtraction by the former sales, and multiplying the result of the division by 100. To do. If the current time point is June and the target period is 6 months, the rate of increase in sales is ((June sales-January sales) / June sales) x 100 (%).

  As a result, for example, when “all targets” are stored corresponding to the item “growth” in the BM type of the extraction parameter 26, the company information of the company D to the company Z is included in the BM type. Although acquired as corresponding company information, if the target period = 6 months and the sales increase rate = 10% are stored corresponding to the item “growth”, only the company information of company D is stored in the BM It is acquired as company information corresponding to the type. In this example, company information is selected based on the rate of increase in sales, but for example, it may be selected based on the rate of increase in stock price. In this case, the monthly average of each company in the company information Based on the stock price, the stock price increase rate of each company can be calculated. Alternatively, only company information that satisfies the sales increase rate and the stock price increase rate under the condition of AND or OR may be selected. This completes the comparison target extraction process.

(Processing-Other processing)
Thereafter, based on the company information acquired in the comparison target extraction process, the analysis process, the evaluation process, and the output process are sequentially executed as in the first embodiment.

(effect)
As described above, according to the third embodiment, only the analysis target information of the comparison target person having the growth ability equal to or higher than the predetermined growth ability is acquired. Since the evaluation target person can make a plan for improving the growth potential with reference to the benchmark evaluation, the evaluation target person can be supported for the improvement plan of the growth potential.

[Embodiment 4]
Next, a fourth embodiment will be described. This form is a form in which reference information regarding an index having a high improvement priority is output. However, the configuration and processing of the fourth embodiment are the same as the configuration and processing of the first embodiment unless otherwise described, and are denoted by the same reference numerals as those used in the first embodiment. Description is omitted.

(Constitution)
First, the configuration of this system will be described. The storage unit 20 of the system 1 includes a company ranking table 29. The company ranking table 29 stores information for storing each of a plurality of indicators and information for specifying the comparison target person with the best indicator in association with each other (hereinafter referred to as “order information”). Information storage means. As shown in the configuration example of FIG. 25, the rank information includes an item “company ID”, an item “financial index”, and an item “productivity index”. The item “financial index” includes an item “factory gross margin”. The item “Inventory turnover”, the item “Labor share”, etc., and the item “Productivity index” includes the item “Total efficiency”, Item “Direct efficiency”, and Item “Manufacturing LT”. The information stored corresponding to each item is the same as the information stored corresponding to the same item in the company information DB 21 of FIG. However, in this case, the items are stored corresponding to the item “factory gross margin”, the item “inventory turnover”, the item “labor share”, the item “total efficiency”, the item “direct efficiency”, and the item “manufacturing LT”. The information is not numerical information but stores the company ID of the company with the highest ranking for each of these items.

  Here, the ranking is the rank of each comparison target person for each BM. For example, regarding the rank of the item “factory gross profit rate”, the average value of the factory gross profit ratio of each comparison target person over a predetermined period. And the ranking is determined in descending order of the average value. This predetermined period is arbitrary, and may be January, half year, one year, or the like. In addition, a calculation method other than the average value may be employed. For example, the rank may be determined in descending order of the maximum value for a predetermined period. Alternatively, the value for each day may be used as it is, and the ranking may be determined for each day. After determining the ranking in this way, the company ID of the company with the highest ranking (that is, the company with the highest ranking) is stored in the company ranking table 29. For example, the control unit 30 periodically acquires company information from the company information DB 21, determines the ranking as described above based on the acquired information, and stores the result in the company ranking table 29.

(processing)
Next, the benchmark process will be described. This process is performed by, for example, a person in charge of one of the companies A to Z (hereinafter referred to as a user) accessing the system 1 via the terminal device 2 and performing the process according to the fourth embodiment. As in the first embodiment, the BM type recommendation process, the extraction parameter setting process, the comparison target extraction process, the analysis process, the evaluation process, and the output process are sequentially executed. In the following description, it is assumed that the company A is designated as the evaluation target person, and all the companies B to Z other than the evaluation target person are the comparison target persons.

(Processing-Output processing)
Here, since processing other than the output processing can be performed in the same manner as in the first embodiment, only the output processing will be described below. FIG. 26 is a flowchart of the output process. For example, the output unit 36 acquires the BM value and the deviation value calculated in the analysis process and the result evaluated in the evaluation process (SK1).

  Next, the output unit 36 identifies the BM set with the improvement priority of “1” based on the evaluation result in the evaluation process, and sets the company ID of the company with the highest ranking for the BM as the company ranking. Obtained from the table 29. Then, company information corresponding to the acquired company ID is acquired from the company information DB (SK2). The output unit 36 is a report configured by associating the acquired information with each other. The output unit 36 generates an evaluation report 27 in a predetermined format, stores the evaluation report 27 in the storage unit 20, and creates the network 3. To the terminal device 2 of the person to be evaluated (SK3).

  For example, as shown in FIG. 27, the evaluation report 27 is basically configured in the same manner as in the first embodiment, but has the highest ranking for the BM “Manufacturing LT” having an improvement priority of “1”. The company information of company B is added and output.

(effect)
As described above, according to the fourth embodiment, since the evaluation report including the analysis target information of the comparison target with the best index is output regarding the index with the highest improvement priority, the index with the highest improvement priority. It is possible to present information that can be used as a reference for actually improving the index, and to support the improvement plan of the index of the evaluation target person.

[Embodiment 5]
Next, a fifth embodiment will be described. In this form, company information of a company with a good financial condition is output as reference information. However, the configuration and processing of the fifth embodiment are the same as the configuration and processing of the fourth embodiment unless otherwise described, and the same reference numerals as those used in the fourth embodiment are attached to the same. Description is omitted.

(Constitution)
First, the configuration of this system will be described. The storage unit 20 of the system 1 is provided with a reference information DB (not shown). This reference information DB is reference information storage means for storing information for specifying the financial state of the evaluation subject. For example, the information providing entity may be limited to a company (company A to company Z) in which company information is stored in the company information DB, but may further include an arbitrary company. Can include all listed companies. The information stored in the reference information DB is, for example, financial public information disclosed by each company on its own website, and information similar to that constituting the company information in FIG. (Month or year) is stored for each company. For example, the control unit 30 automatically obtains reference information periodically via a network and stores the reference information in the reference information DB using a known crawler technology.

(processing)
Next, the benchmark process will be described. In this process, for example, a person in charge of one of the companies A to Z (hereinafter referred to as a user) accesses the system 1 via the terminal device 2 and performs the process according to the fifth embodiment. As in the first embodiment, the BM type recommendation process, the extraction parameter setting process, the comparison target extraction process, the analysis process, the evaluation process, and the output process are sequentially executed. In the following description, it is assumed that the company A is designated as the evaluation target person, and all the companies B to Z other than the evaluation target person are the comparison target persons.

(Processing-Output processing)
Here, since processing other than the output processing can be performed in the same manner as in the first embodiment, only the output processing will be described below. FIG. 28 is a flowchart of the output process. For example, the output unit 36 acquires the BM value and the deviation value calculated in the analysis process and the result evaluated in the evaluation process (SL1).

  Next, the output unit 36 acquires reference information to be output from the reference information DB (SL2). For example, the output unit 36 acquires the operating profit for each predetermined period of each company included in the reference information, and calculates the rate of increase and the amount of increase in the acquired operating profit for the most recent six months. Then, the output unit 36 is based on the calculated rate of increase in a company whose performance (specifically, for example, operating profit) for the predetermined period has increased (the rate of increase exceeds 0%). Then, one company with the highest amount of increase is selected, and the reference information of the company is acquired from the reference information DB. However, there are other criteria and methods for selecting reference information. For example, sales and operating profit are aggregated on a yearly basis, and companies that have increased sales and operating profit from the previous year are selected. May be. Or, select the company whose operating profit in the most recent predetermined period is the highest among the companies whose operating profit trend in the past predetermined period is similar to the operating profit trend in the same target period Alternatively, not only the company with the highest increase amount but also all the reference information of the companies having the predetermined amount of two or more increase amounts may be acquired.

  The output unit 36 is a report configured by associating the acquired information with each other. The output unit 36 generates an evaluation report 27 in a predetermined format, stores the evaluation report 27 in the storage unit 20, and creates the network 3. To the terminal device 2 of the person to be evaluated (SL3).

  For example, the evaluation report 27 is basically configured in the same manner as in the first embodiment, but is output with reference information of a company having the highest amount of increase. As a specific example, the reference information of company B is selected in SL2, and by adding the reference information of company B, an evaluation report similar to that in FIG. 27 is created.

(effect)
As described above, according to the fifth embodiment, the evaluation report including the analysis target information of the comparison target person having the best financial status is output. Since it is possible to make improvements, etc., it becomes possible to support the improvement plan of the financial condition of the evaluation subject.

[III] Modifications to Each Embodiment While each embodiment according to the present invention has been described above, the specific configuration and means of the present invention are the same as the technical idea of each invention described in the claims. Modifications and improvements can be arbitrarily made within the range. Hereinafter, such a modification will be described.

(About problems to be solved and effects of the invention)
First, the problems to be solved by the invention and the effects of the invention are not limited to the above-described contents, and the present invention solves the problems not described above or has the effects not described above. There are also cases where only some of the described problems are solved or only some of the described effects are achieved.

(About BM types)
In the above embodiment, an example in which the BM type is designated by combining “shipment amount”, “number of employees”, and “industry” has been described, but instead of such designation method, “company”, “same industry” ”,“ Same size in the same industry ”, and“ different types of industry ”may be used to specify conceptual types by text or numbers.

(About BM type recommended processing)
In the above embodiment, “order in which the number of registered companies is large” is adopted as the selection criterion for the BM type in the BM type recommendation process, but any other criterion may be adopted. For example, a “BM type” and a “recommendation rank” recommended for each “evaluator attribute (for example, company type and scale)” are determined in advance, and the BM type of the evaluation subject is stored in the BM type table 24. BM types that are not registered may be additionally registered in descending order of recommendation. Specifically, in the case of a “transportation equipment” company with “200 to 499 employees”, “BM type” is “type 5”, “type 7”, “type 34”, “type 77”. ”And“ Type 99 ”are pre-determined in advance, and if the company that matches this attribute is the person being evaluated,“ Type 5 ”is entered in the BM type desired by the company. If not, “type 5” is additionally registered.

(About evaluation process)
In the above embodiment, “◎”, “○”, “△”, “×” are used as the evaluation method in the evaluation process. However, the evaluation stage, the display method of evaluation, or the meaning of evaluation are as follows. Can be changed as appropriate. Moreover, regarding the improvement priority, a priority after “3” may be given. Alternatively, not only the BM evaluated as “evaluation = ×” but also the BM evaluated as “evaluation = Δ” or “evaluation = ◯” may be included in the target and the priority may be given.

(About the mutual relationship of each embodiment)
The configuration and processing shown in each embodiment may be independent of each other, or may be mixed with each other. For example, the BM object table 28 described in the second embodiment is stored in the storage unit 20 of the benchmark evaluation system 1 of the first embodiment, and is executed by each unit of the control unit 30 of the benchmark evaluation system 1 of the first embodiment. In addition to the processing in the first embodiment, each processing in the second embodiment may be executable. In this case, for example, the user accesses the system 1 via the terminal device 2 and selects and designates which embodiment is to be processed, thereby corresponding to the designated embodiment. Processing is executed.

1 Benchmark evaluation system (this system)
2 Terminal device 3 Network 10 Input / output interface (input / output IF)
20 storage unit 21 company information database (company information DB)
22 Classification table 23 Company attribute table 24 BM type table 25 Evaluation table 26 Extraction parameter 27 Evaluation report 28 BM purpose table 29 Company ranking table 30 Control unit 31 BM type recommendation unit 32 Extraction parameter setting unit 33 Comparison target extraction unit 34 Analysis unit 35 Evaluation section 36 Output section AZ Company

Claims (6)

Attribute information storage means for storing each attribute information of an evaluation target person to be evaluated and a comparison target person to be compared with this evaluation target person;
Numerical information relating to the evaluation target person and the comparison target person, and analysis target information storage means for storing analysis target information corresponding to each of a plurality of predetermined indexes;
Purpose of storing purpose-specific attribute information configured by associating a plurality of evaluation purposes with information specifying a combination of types and ranges of the attribute information corresponding to each of the plurality of evaluation purposes Another attribute information storage means;
Evaluation criteria information storage means for storing, for each of the indicators, information for specifying a prescribed range and an upper limit value of a deviation value used for evaluation;
When one or a plurality of evaluation objectives are specified by a predetermined method from among the plurality of evaluation objectives, they are stored in the purpose-specific attribute information storage means corresponding to each of the specified evaluation objectives. A comparison target person having attribute information that matches a combination of attribute information types and ranges is identified by referring to the attribute information storage means, and the analysis target information of the specified comparison target person is extracted from the analysis target information storage means. A comparison object extraction means to be acquired;
Analysis for calculating a deviation value of the analysis target information of the evaluation target with respect to the analysis target information of the comparison target for each index corresponding to the analysis target information of the comparison target acquired by the comparison target extraction unit Means,
It is determined with reference to the evaluation criterion information storage means whether each deviation value calculated by the analyzing means is greater than or equal to the specified range, whether or not the upper limit value, and within the specified range. And determining the evaluation of the evaluation target person for each index according to the determination result, and the index corresponding to a deviation value less than the lower limit value of the specified range among the deviation values calculated by the analysis means With respect to the evaluation means for setting the improvement priority so that the priority of the index becomes higher in the order of the deviation value ,
And deviation value for each of the indicators that have been calculated by said analyzing means, and improve the priority of the index set by commentary Ataiyui fruit and the evaluation unit of the evaluation subject of each of the indicators by the evaluation means, the An output means for generating and outputting an evaluation report configured in association with each other ;
Benchmark evaluation system with Each of the plurality of indicators and comparison target person identification information for uniquely identifying the comparison target person having the highest rank in each index among the respective comparison target persons are stored in association with each other. Comprising rank information storage means;
The output means identifies an index with the highest improvement priority based on the improvement priority of the index set by the evaluation means, and stores the comparison target person with the highest rank in the identified index as the rank information Identifying with reference to the means, obtaining the analysis target information of the specified comparison target person from the analysis target information storage means, outputting the acquired analysis target information included in the evaluation report,
The benchmark evaluation system according to claim 1. A numerical information for identifying the financial condition of each predetermined period of the comparison subject, stores reference information including information specifying the operating profit for each predetermined period of at least each of the comparison subject reference information storage means With
The output means acquires the operating profit for each comparison target period for each comparison target person based on the reference information stored in the reference information storage means, and calculates an increase amount of the acquired operating profit in the most recent fixed period Selecting the comparison target person with the largest calculated increase amount , acquiring the analysis target information of the selected comparison target person from the analysis target information storage means, and including the acquired analysis target information in the evaluation report Output,
The benchmark evaluation system according to claim 1 or 2. The analysis target information stored in the analysis target information storage means includes information for specifying sales for each predetermined period of the comparison target person,
Type information storage means for storing type information for specifying a combination of types and ranges of the attribute information of the comparison target to be compared and a sales increase rate of the comparison target in a predetermined target period ,
The comparison object extraction means includes
And specific by referring to the attribute information storage unit comparison subject with the focus match attribute information to combination of the type and extent of the attribute information stored in the type information memory means, and the specified The sales increase rate in the target period of each comparison target person is calculated based on the sales of each comparison target person stored in the analysis target information storage means for each predetermined period, and the calculated sales increase rate is analyte information of the category information is sales increase rate than in the period specified by the type information stored in the storage unit comparison subjects, obtained from the analysis target information storage means,
The benchmark evaluation system according to any one of claims 1 to 3. Type information storage means for storing a combination of types and ranges of the attribute information of the comparison target person to be compared for each evaluation target person,
When one evaluation subject is designated by a predetermined method, the type and range combination of the attribute information corresponding to the designated evaluation subject is specified by referring to the type information storage unit, and The combination stored in association with the largest number of evaluation subjects among the combinations of types and ranges of the attribute information stored in the type information storage unit is identified by referring to the type information storage unit, A combination that is not included in the combination of types and ranges of the attribute information corresponding to the designated evaluation target person, and that is stored in association with the most specified evaluation target persons, Type information recommendation means for newly storing in the type information storage means in association with the designated evaluation target person ,
Benchmarking system according to claim 1, any one of 4 with a. Attribute information storage means for storing each attribute information of an evaluation target person to be evaluated and a comparison target person to be compared with this evaluation target person;
Numerical information relating to the evaluation target person and the comparison target person, and analysis target information storage means for storing analysis target information corresponding to each of a plurality of predetermined indexes;
Purpose of storing purpose-specific attribute information configured by associating a plurality of evaluation purposes with information specifying a combination of types and ranges of the attribute information corresponding to each of the plurality of evaluation purposes Another attribute information storage means ;
A computer comprising: evaluation standard information storage means for storing, for each index, information for specifying a prescribed range and an upper limit value of a deviation value used for evaluation ,
When one or a plurality of evaluation objectives are specified by a predetermined method from among the plurality of evaluation objectives, combinations of types and ranges of attribute information corresponding to the specified evaluation objectives are classified by the purpose. Referring to the attribute information storage means, identify the comparison target person having attribute information that matches the type and range combination of the identified attribute information by referring to the attribute information storage means, and the identified comparison acquires analyzed information of the subject from the analysis target information storage means, comparison target extraction means,
Analysis for calculating a deviation value of the analysis target information of the evaluation target with respect to the analysis target information of the comparison target for each index corresponding to the analysis target information of the comparison target acquired by the comparison target extraction unit Means,
It is determined with reference to the evaluation criterion information storage means whether each deviation value calculated by the analyzing means is greater than or equal to the specified range, whether or not the upper limit value, and within the specified range. And determining the evaluation of the evaluation target person for each index according to the determination result, and the index corresponding to a deviation value less than the lower limit value of the specified range among the deviation values calculated by the analysis means With respect to the evaluation means for setting the improvement priority so that the priority of the index becomes higher in the order of the deviation value ,
And deviation value for each of the indicators that have been calculated by said analyzing means, and improve the priority of the index set by commentary Ataiyui fruit and the evaluation unit of the evaluation subject of each of the indicators by the evaluation means, the An output means for generating and outputting an evaluation report configured in association with each other ;
Benchmark evaluation program to function as

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