WO2022130923A1 - Information processing device, information processing method, and storage medium - Google Patents

Abstract

Provided are an information processing device, an information processing method, and a storage medium that enable personnel information to be utilized more effectively.　The information processing device comprises: a generation unit that references a first storage unit in which stored is personnel information including members related to an organization and the characteristics of the members, and that, in accordance with the characteristics of the members, generates prescribed statistical information from the personnel information of the organization; and an output unit that outputs the statistical information generated by the generation unit.

Description

Information processing equipment, information processing method and storage medium

The present invention relates to an information processing device, an information processing method, and a storage medium.

Conventionally, personnel analysis work has been performed in which members belonging to an organization such as a company organization are analyzed using personnel information and utilized for management work such as personnel measures (for example, Patent Document 1). In this personnel analysis work, statistical methods such as correlation analysis are used to analyze trends in personnel information with respect to predetermined characteristics.

Japanese Unexamined Patent Publication No. 2019-160110

However, the conventional invention has a problem that the user needs to judge necessary information from a huge amount of personnel information by himself / herself, and the personnel information cannot be used effectively.

The present invention has been made in view of the above problems, and an object of the present invention is to provide an information processing device, an information processing method, and a storage medium capable of more effectively using personnel information.

In order to solve the above problems, the information processing apparatus of the present invention refers to the members related to the organization and the first storage unit in which the personnel information including the attributes of the members is stored, and the personnel of the organization according to the attributes of the members. It includes a generation unit that generates predetermined statistical information from information, and an output unit that outputs statistical information generated by the generation unit.

According to the present invention, it is possible to provide an information processing device, an information processing method and a storage medium that can use personnel information more effectively.

It is a figure which shows an example of the schematic structure of the information processing system which concerns on embodiment. It is a figure which shows an example of the hardware composition of the server 2 which concerns on embodiment. It is a figure which shows an example of the database stored in the storage device of the server 2 which concerns on embodiment. It is a figure which shows an example of the functional structure of the server 2 which concerns on embodiment. It is a figure which shows an example of the hardware structure and the function structure of the user terminal 3 which concerns on embodiment. It is a figure which shows an example of the hardware structure and the function structure of the user terminal 3 which concerns on embodiment. It is a figure which shows an example of the screen displayed on the user terminal 3 which concerns on embodiment. It is a flowchart which shows an example of the process executed by the server which concerns on embodiment. It is a flowchart which shows an example of the process executed by the server which concerns on embodiment. It is an example of the hierarchical structure of the organization of an arbitrary company, and the human range (report line) in which arbitrary specific personnel information can be referred to in the hierarchical structure of the organization. It is an example of the hierarchical structure of the organization of an arbitrary company, and the human range (report line) in which arbitrary specific personnel information can be referred to in the hierarchical structure of the organization. It is an example of the hierarchical structure of the organization of an arbitrary company and the human range (report line) in which any specific personnel information can be referred to in the hierarchical structure of the organization. It is a flowchart which shows an example of the process executed by the server which concerns on embodiment. It is a flowchart which shows an example of the process executed by the server which concerns on embodiment. It is a flowchart which shows an example of the process executed by the server which concerns on embodiment.

Hereinafter, embodiments of the present invention will be described. In the following explanation,
An "organization" is an aggregate composed of members who have different roles in order to achieve a specific purpose, and each department of a company corresponds to an organization. In this embodiment, the company itself. May also be included in the tissue.
"Companies" are corporations, foundations, corporations, joint ventures, joint-stock companies, joint ventures, mutual companies, unions, as well as government agencies such as national and local public organizations, regardless of whether they are for commercial or non-commercial purposes. Includes all legal entities, unions, institutions, individual businesses, groups and entities that have been established.
"Members" are personnel related to an organization, such as permanent employees, temporary employees, contract employees, contractors, part-time workers, and other personnel who work for the organization, and consultants who have been requested by the organization. It includes all personnel related to the organization, including personnel such as professionals (eg, lawyers, accountants, tax accountants, etc.).

[Embodiment]
FIG. 1 is a diagram showing an example of a schematic configuration of an information processing system 1 according to an embodiment. First, the configuration of the information processing system 1 will be described with reference to FIG. The information processing system 1 has a configuration in which a server 2 (information processing device), a user terminal 3, and a corporate server 4 are connected via a network 5. The number of the server 2, the user terminal 3, and the corporate server 4 included in the information processing system 1 is arbitrary. It does not matter whether the network 5 is wireless communication or wired communication, or whether both wireless communication and wired communication are used.

(Corporate server 4)
First, the corporate server 4 will be described. The company server 4 stores the above-mentioned personnel information of the company or organization. The personnel information includes the attributes of the members of the organization, and each personnel information is associated with the attributes of the members as necessary. The associated member attributes include, for example, the name of the department to which they belong (for example, XX department, XX section, XX group, etc.) and job class (president, department manager, section manager, chief, chief, etc.). This personnel information will be described later. The server 2 acquires the above personnel information and the like from the corporate server 4 by linking with API or the like. Here, the corporate server 4 does not necessarily have to be a server, and may be any device or the like that the server 2 can access. Further, the acquisition method is not limited to API cooperation, and various methods can be adopted. For example, a data file may be imported, or a user of the information processing system 1 (a person who is using the information processing system 1 among the members) or an administrator may input data to the server 2.

(Server 2)
FIG. 2 is a diagram showing an example of a hardware configuration of a server 2 (information processing device). As shown in FIG. 2, the server 2 includes a communication IF 200A, a storage device 200B, a CPU 200C, and the like.

The communication IF200A is an interface for communicating with an external terminal (for example, a user terminal 3 and a corporate server 4).

The storage device 200B is, for example, an HDD or a semiconductor storage device. The information processing program and various databases used by the server 2 are stored in the storage device 200B. In the present embodiment, the information processing program and various databases are stored in the storage device 200B of the server 2, but are stored in an external storage device such as a USB memory or an external server connected via a network, and are required. It may be configured to be referenceable or downloadable depending on the situation.

FIG. 3 is an example of a database stored in the storage device 200B. As shown in FIG. 3, the storage device 200B includes a personnel information database 1 (hereinafter, personnel information DB1), an advice database 2 (hereinafter, advice DB2), a usage status database 3 (hereinafter, usage status DB3), and a relationship database. 4 (hereinafter, relationship DB4) and the like are stored. Although a plurality of databases are provided in the present embodiment, they may be stored in the storage device 200B as one database. Further, it does not necessarily have to be stored in the storage device 200B as a database. Further, how the information stored in the DB1 to the DB4 is associated and stored in the storage device 200B is arbitrary, and it is not always necessary to store the information as in the DB1 to the DB4 described later.

(Personnel information DB1)
Personnel information DB 1 (first storage unit) stores personnel information including attributes of members related to the organization for each member.
Personnel information includes the following attribute information, work information, performance information, mindset information, communication information, employment information, organization information, authentication information, and the like. The following information is an example of the information stored in the personnel information DB 1, and the information stored in the personnel information DB 1 is not limited to the information exemplified below.

Attribute information includes, for example, the name of the organization to which the employee belongs, the name of the department to which the employee belongs (for example, XX department, XX section, XX group, etc.), job class (for example, president, director, department manager, section chief, section chief, chief, etc.), gender. , Age or age, length of service (duration of working at a company), term of assignment (duration of being assigned to a department), place of work, employment type (permanent employee, dispatched employee, contract employee, part-time job, etc.), nationality, Information such as whether you are a new graduate or a mid-career employee.

Work information includes working hours (working hours for a predetermined period such as 1 day and 1 month), overtime hours (working hours for a predetermined period such as 1 day and 1 month), remote work (whether or not remote work, the ratio of remote hours, etc.) ), Flexible work (whether discretionary work or not), considerations (for example, disability, childcare leave, reduced working hours, etc.).

Achievement information includes awards and penalties (awards and penalties for work), evaluations (evaluations by superiors, etc.), qualifications (private qualifications (qualifications implemented and certified by private organizations and public interest corporations, etc.), and public qualifications (certified by ministries and agencies). Information such as qualifications)) and salary.

Mindset information scores aptitude test scores and engagement scores (for example, the amount of motivation that employees are willing to contribute to the company they are currently working for, sympathizing with the direction they are heading. Information such as things).

Communication information is information such as the amount of communication between members related to the organization, the means of communication and the response speed of communication, the timing of communication, and the direction of communication.
The amount of communication includes the time used for communication, the time spent for communication, the amount of data used for e-mail, chat, and the like. When the amount of communication is acquired by the amount of data spent on communication, the amount of data differs significantly between text data and other data (for example, image or video data). Therefore, weighting may be performed according to the type of data (for example, text data may be weighted heavily, image or video data may be weighted lightly), and the amount of data after weighting may be used as the communication amount.
The means of communication are the means used to communicate, such as meetings, emails, chat tools, and the like.
The response speed of communication is the speed of response, and for example, in the case of e-mail, the time required for reply corresponds to the response speed.
The timing of communication is, for example, information on whether communication was performed during business hours or outside business hours.
The direction of communication is, for example, information indicating the bidirectionality / one-way (direction in the case of one-way) of the connection between members, and the difference in communication between members to each other (for example, transmitted). It can be calculated from the difference in the amount of data in the message, etc.).

Recruitment information is, for example, information such as the number of hires for the number of applicants, the number of hires for the fixed number of applicants, or the breakthrough rate (number of examinees / number of successful applicants) for each examination of applicants).

Organization information is information such as the address (including country), number of members, industry, history, year of establishment, scale (capital amount, etc.), unlisted, sales, operating profit, related members, etc. of each organization.

The authentication information is information such as a user ID and a password (PW) for authenticating a user (a member who is using the information processing system 1).
The above-mentioned personnel information is merely an example, and the personnel information in the present embodiment is not limited to the above-mentioned information.

(Advice DB2)
In the advice DB2 (second storage unit), a change in at least one of the connection between members and the strength of each connection is stored in association with the result of applying the improvement measure for the change. Improvement measures include, for example, measures to improve the engagement score and measures to reduce the turnover rate. For example, introduction of one or more of telework, staggered work and reduced working hours, and enhancement of welfare programs (various types). Subsidies and introduction of company food) are included. The result is the effect of introducing the measure, for example, improvement was seen, improvement was not seen, deterioration was seen, and so on. The result may be scored.

(Usage status DB3)
In the usage status DB 3, the reference frequency (number of references within a predetermined period) or the frequency of use (number of uses within a predetermined period) of the statistical information referred to or used by each member is stored in association with the member. Statistical information referred to or used by members includes, for example, the following. The statistical information of (a) to (f) is generated from personnel information by the generation unit 210 described later.
(A) Member turnover rate (for example, turnover rate for the entire organization, turnover rate for each department, turnover rate for head offices, factories and sales offices, countries, or a combination of two or more).
(B) Distribution of members (for example, distribution of members by department, distribution of members by head office, factory or sales office, distribution of members by country, distribution of members by gender, distribution of members by length of service, distribution of members by job class, Distribution of members by age, or a combination of two or more of these)
(C) Member salary (for example, annual salary, monthly salary, weekly salary, hourly salary distribution by department, head office, factory or sales office, salary distribution by country, salary distribution by gender, salary distribution by age, salary by length of service Distribution, distribution of members by nationality, or a combination of two or more of these),
(D) Hiring members (for example, the number of intern members, the number of new graduates hired, the number of mid-career hires, the number of hires by department, the number of head offices, factories and sales offices, the number of hires by country, the number of hires by gender, the number of hires by age group Number, or a combination of two or more of these, etc.)
(E) Recruitment yield (for example, recruitment yield by department, head office, factory or sales office, recruitment yield by country, recruitment yield by gender, recruitment yield by age, recruitment yield within a predetermined period, or a combination of these two or more. The hiring yield is, for example, the number of hires for the number of applicants, the number of hires for the number of hires, or the breakthrough rate for each test of applicants (number of examinees / number of successful applicants).
(F) Labor productivity of members (for example, labor productivity distribution by department, head office, factory or sales office, labor productivity by country, labor productivity by gender, labor productivity by age, or two or more of these. Information such as combinations).
The above-mentioned information (a) to (f) is an example of statistical information in which the reference frequency or the usage frequency is stored in the usage status DB 3, and the statistical information in which the reference frequency or the usage frequency is stored in the usage status DB 3. Is not limited to the above-mentioned information (a) to (f).

(Relationship DB4)
The relationship DB 4 stores information such as a relationship score for each organization, a relationship score between an individual and another organization, a difference from past data, a degree of withdrawal from the network, or a degree of accumulation. The relationship score in an organizational unit is, for example, a score of the relationship in an organizational unit based on the connection strength calculated by the calculation unit 205 described later.
Further, the relationship score between the individual and the self-other organization is obtained by scoring the relationship between the individual and the self-other organization based on the connection strength calculated by the calculation unit 205, which will be described later, for example.
Further, the degree of withdrawal from the network (organizational connection) is, for example, the degree of withdrawal or the degree of integration of members calculated based on the connection strength calculated by the calculation unit 205 described later.
How to calculate the above-mentioned relationship score for each organizational unit, the relationship score between individuals and other organizations, and the degree of withdrawal or integration from the network based on the connection strength calculated by the calculation unit 205. Is optional. Further, the relationship score in the above organizational unit, the relationship score between the individual and the other organization, and the degree of withdrawal from the network or the degree of integration can be calculated using parameters other than the connection strength calculated by the calculation unit 205. good.
In addition, information on the relationship score for each organizational unit, the relationship score between an individual and another organization, the degree of withdrawal from the network, or the degree of integration is sent to the relationship DB 4 by the storage device control unit 203, which will be described later, at regular and some events. It is memorized (accumulated) when (for example, organizational change, increase / decrease of members, etc.) occurs.
These accumulated information are used when displaying the difference from the past data on the display device 300D of the user terminal 3.

The CPU 300E controls the server 2 and includes a ROM (Read Only Memory) and a RAM (Random Access Memory) (not shown).

FIG. 4 is a diagram showing an example of the functional configuration of the server 2 according to the embodiment. As shown in FIG. 4, the server 2 includes a receiving unit 201, a transmitting unit 202 (output unit), a storage device control unit 203 (update unit), an acquisition unit 204, a calculation unit 205, a similarity determination unit 206, and an extraction unit 207. It has functions such as a determination unit 208, an authentication unit 209, and a generation unit 210. The function shown in FIG. 4 is realized by the CPU 200C executing the information processing program stored in the server 2.

The receiving unit 201 receives information from the user terminal 3 and the corporate server 4 via the network 5.

The transmission unit 202 (output unit) transmits (outputs) information to the user terminal 3 via the network 5. For example, the transmission unit 202 transmits a display of predetermined statistical information generated by the generation unit 210. Further, for example, the transmission unit 202 transmits information for displaying the statistical information generated by the generation unit 210 in a chart. For example, the transmission unit 202 transmits information for displaying two or more statistical information generated by the generation unit 210 as an aggregate in which two or more charts corresponding to the statistical information are laid out. Further, for example, when the determination unit 208 determines that the change in at least one of the connection between the members and the strength of each connection satisfies a predetermined condition, the transmission unit 202 transmits the determination result. Further, for example, the transmission unit 202 transmits the improvement measures extracted by the extraction unit 207. Further, for example, the transmission unit 202 has a relationship score in the above organizational units and a relationship between an individual and another organization stored in the relationship DB 4 as needed (for example, when there is a browsing request from a user). Information on the sex score, the degree of withdrawal from the network or the degree of integration, and the difference from the past data are transmitted to the user terminal 3.

The storage device control unit 203 (update unit) controls the storage device 300B. For example, the storage device control unit 203 writes and reads information from the storage device 200B. The storage device control unit 203 (update unit) updates the information stored in the personnel information DB 1 of the storage device 200B based on the personnel information acquired by the acquisition unit 204. For example, the storage device control unit 203 stores (stores) the personnel information acquired by the acquisition unit 204 in the personnel information DB 1 together with the time information (time stamp or the like) in chronological order. Further, for example, the storage device control unit 203 periodically and some event in the relationship DB 4 the information such as the relationship score in the organizational unit, the relationship score between the individual and the self-other organization, the degree of withdrawal from the network or the degree of integration. Is stored (accumulated) in chronological order when

The acquisition unit 204 acquires the personnel information of the members from the company server 4 via the network 5. The acquisition unit 204 acquires personnel information on a regular or irregular basis.

The calculation unit 205 calculates the connection between the members related to the organization and the strength of each connection based on the personnel information. For example, the calculation unit 205 refers to the personnel information DB 1 and calculates at least one of the connection between the members related to the organization and the strength of each connection.
For example, when calculating the strength of each connection, the calculation unit 205 calculates the strength of each connection in consideration of the following information.
(1) Information of at least 1 or more of communication amount, communication means, and communication speed (2) Information of timing at which communication is performed Here, the calculation unit 205 weights according to the communication means and connects between members. You may try to calculate the strength of. The strength of the connection may be calculated, for example, as in the following equation (1).
Y = a ₁ X ₁ + a ₂ X ₂ + ... + an _n X _n ... (1)
Y: Strength of connection an: _Weighting coefficient (may be changed according to communication response speed, communication timing, communication direction, etc.)
_Xn : Communication amount for each communication method (time, data amount, etc.)
The above equation (1) is just an example, and it is not always necessary to calculate the strength of the connection by the equation (1).
When the acquisition unit 204 acquires the personnel information and the personnel information stored in the storage device 200B is updated, the calculation unit 205 calculates the connection between the members related to the above organization and the strength of each connection. .. Further, the above-mentioned information (1) and (2) is an example of information used by the calculation unit 205 when calculating the strength of the connection between the members, and the calculation unit 205 calculates the strength of the connection between the members. The information used when doing so is not limited to the information in (1) and (2) described above.

The similarity determination unit 206 refers to the organization information of the personnel information DB 1 and determines other organizations similar to the organization according to the similarity of at least one or more in the number of members, the type of industry, and the history of the organization.
For example, the similarity determination unit 206 extracts other tissues having a degree of similarity to the tissue of a predetermined value (for example, 80%) or more. What kind of value the predetermined value is is arbitrary, and it is not always necessary to set the predetermined value to 80%.
The degree of similarity can be calculated by using various methods. For example, the Euclidean distance, Pearson's product moment correlation coefficient, Jaccard coefficient, and the like can be used to calculate the degree of similarity between an organization and other organizations.

The extraction unit 207 extracts another tissue that is the same as or similar to the tissue, depending on the determination result of the similarity determination unit 206.
Further, the extraction unit 207 refers to the advice DB 2 (second storage unit) in which the change in at least one of the connection between the members and the strength of each connection is stored in association with the result of applying the improvement measure for the change. , The determination unit 208 extracts improvement measures for the members who are determined by the determination unit 208 that the change in at least one of the connection between the members and the strength of each connection satisfies a predetermined condition.

The determination unit 208 determines whether or not the connection between the members related to the organization and the strength of each connection satisfy a predetermined condition. Here, the predetermined conditions include, for example, (A) the strength of the connection as a whole is equal to or less than the threshold value, and (B) the strength of the connection between specific members is equal to or more than the threshold value (this). If such conditions are met, it is possible that members will leave their jobs). It should be noted that how the threshold value is set, for example, what kind of value the threshold value is set to is arbitrary. Further, the setting such as above the threshold value and below the threshold value is also arbitrary. And how to set whether it is below the threshold value or above the threshold value is arbitrary. Further, the threshold value is not limited to one and can be changed for each condition. In this embodiment, the predetermined condition can be set by the user by operating the user terminal 3.

The authentication unit 209 refers to the personnel information DB 1 and authenticates the user ID and password (PW) related to the user who uses the user terminal 3 transmitted from the user terminal 3. For example, the authentication unit 209 permits login when the combination of the user ID and PW transmitted from the user terminal 3 is stored in the personnel information DB 1, and the combination of the user ID and PW transmitted from the user terminal 3 is used. If it is not stored in the personnel information DB1, login is not permitted.

For example, the generation unit 210 refers to the personnel information DB 1 (first storage unit) in which the members related to the organization and the attributes of the members are stored, and according to the attributes of the members (for example, the department to which the member belongs or the job class). Predetermined statistical information (for example, statistical information referred to or used by the same department or job class) is generated from the personnel information of the organization stored in the personnel information DB 1 (first storage unit).
For example, the generation unit 210 generates predetermined statistical information (for example, member turnover rate) from personnel information according to the determination result of the determination unit 208. The generation process according to the members related to the organization and the attributes of the members referred to by the generation unit 210 here uses the attributes of the members and members related to the user who uses the user terminal 3, and the department to which the user belongs. Or, it can be a process of generating statistical information that the job class is permitted to refer to and use.
Further, for example, the generation unit 210 generates two or more statistical information from the personnel information.
Further, for example, the generation unit 210 refers to the usage status DB 3 and generates statistical information having a reference frequency or a usage frequency of a predetermined value or more in another organization determined to be similar to the organization by the similarity determination unit 206.
Further, for example, the generation unit 210 refers to the personnel information DB 1 and the usage status DB 3, and refers to the personnel information in addition to the reference frequency or the usage frequency in another organization determined to be similar to the organization by the similarity determination unit 206. Generate statistics according to member attributes.
The statistical information generated by the generation unit 210 includes, for example, the following. Since the details of each statistical information (a) to (f) have been described in the usage status DB3, duplicate explanations will be omitted.
(A) Member turnover rate (b) Member distribution (c) Member salary (d) Member recruitment (e) Recruitment yield (f) Member labor productivity The information in (a) to (f) above is This is an example of statistical information generated by the generation unit 210, and the statistical information generated by the generation unit 210 is not limited to the above-mentioned information (a) to (f).

Further, the server 2 may be provided with an input device (for example, a keyboard, a touch panel, etc.) and a display device (for example, a liquid crystal monitor, an organic EL monitor, etc.).

(User terminal 3)
The user terminal 3 is, for example, a PC, a smartphone, a tablet terminal, or the like. The user of the information processing system can input and acquire information necessary for the information processing system 1 by using the user terminal 3.

FIG. 5A is a diagram showing an example of the hardware configuration of the user terminal 3, and FIG. 5B is a diagram showing an example of the functional configuration of the user terminal 3. As shown in FIG. 5A, the user terminal 3 includes a communication IF 300A, a storage device 300B, an input device 300C, a display device 300D, a CPU 300E, and the like.

The communication IF300A is an interface for communicating with another device (for example, server 2).

The storage device 300B is, for example, an HDD (Hard Disk Drive) or a semiconductor storage device (SSD (Solid State Drive)). The storage device 300B stores the identifier of the user terminal 3, the information processing program, and the like. The identifier may be newly assigned by the server 2 to the user terminal 3, or may use an IP (Internet Protocol) address, a MAC (MediaAccessControl) address, or the like.

The input device 300C is, for example, a touch panel or the like, and the user can operate the input device 300C to input information necessary for using the information processing system 1.

The display device 300D is, for example, a liquid crystal monitor or an organic EL monitor. The display device 300D displays a screen necessary for using the information processing system 1.

The CPU 300E controls the user terminal 3 according to the embodiment, and includes a ROM and a RAM (not shown).

As shown in FIG. 5B, the user terminal 3 has functions such as a receiving unit 301, a transmitting unit 302, a storage device control unit 303, an operation receiving unit 304, and a display device control unit 305. The function shown in FIG. 5B is realized by the CPU 300E executing an information processing program stored in the storage device 300B.

The receiving unit 301 receives, for example, the information transmitted from the server 2.

The transmission unit 302 assigns an identifier to the information input using the input device 300C and transmits the information to the server 2.

The storage device control unit 303 controls the storage device 300B. For example, the storage device control unit 303 controls the storage device 300B to write and read information.

The operation reception unit 304 receives an input operation on the input device 300C.

The display device control unit 305 controls the display device 300D. For example, the display device control unit 305 controls the display device 300D to display a screen necessary for using the information processing system 1 according to the embodiment.

FIG. 6 is a diagram showing an example of a screen displayed on the display device 300D of the user terminal 3 according to the embodiment. FIG. 6 is an example of a screen displayed on the display device 300D of the user terminal 3 when statistical information on the distribution of members is generated by the generation unit 210. As shown in FIG. 6, various information is presented on the display device 300D of the user terminal 3. In the example shown in FIG. 6, the distribution of members by department (sales, design, marketing, etc.) G1, the distribution of members by country (work location) G2, the distribution of members by length of service G3, the distribution of members by gender G4, Statistical information such as member distribution G5 by job grade (eg, management, execution, associate, staff, etc.), member distribution G6 by nationality, member distribution G7 by age, and member salary distribution G8 is displayed. By transmitting the above statistical information to the user terminal 3, it is possible to grasp what kind of attribute members are where (country, department, etc.) and how many, and help to make a plan for appropriate member placement, training, personnel selection, etc. It becomes.

It is not always necessary to display the statistical information shown in FIG. 6, and other statistical information may be displayed on the display device 300D of the user terminal 3.
For example, when the above-mentioned member turnover rate is displayed on the display device 300D of the user terminal 3, when did the problem occur, whether the turnover rate is high in the department, or the turnover rate of members with a short history is low, in other words. It helps to understand whether the organization is well established and whether the main members have left their jobs.
In addition, when the salary of a member is displayed on the display device 300D of the user terminal 3, it helps to grasp the variation and bias of salary depending on the country, department, and gender, and it helps to revise the remuneration system, judge promotion / salary increase, promote diversity, and so on. It can be used to improve salary inequality by specific departments and job classes.
In addition, when displaying the hiring of members on the display device 300D of the user terminal 3, the number of hires and the number of job offers are grasped every month, the period until the closing (hiring decision) of the hiring candidates is grasped, and the budget allocation for effective hiring is effective. It can be useful for planning, the ratio of new graduate hiring / mid-career hiring, and understanding the difference in hiring results.
In addition, when displaying on the display device 300D of the recruitment yield user terminal 3, it is possible to grasp how much recruitment activity is occurring at what stage during a predetermined period, and to plan the interviewer necessary for recruitment. You can stand. In addition, understanding the period required for each hiring stage can be useful in identifying the stage that promotes the efficiency of interviews. In addition, it is possible to grasp at which stage hiring is delayed, which can be useful for identifying the stage at which hiring candidates are being missed.
Statistical information such as labor productivity of members may be displayed on the display device 300D of the user terminal 3.

In the screen shown in FIG. 6, the button B1 is a direct filter button, and the statistical information generated under the selected condition is displayed in FIG. 6 (in FIG. 6, since the condition is Asia, the work location). Has generated statistics for Asian members). The button B2 is a time slider button, and the display can be switched to statistical information in an arbitrary period by moving the start point P1 and the end point P2. The button B3 is a display format switching button, and the user can operate the button B3 to switch the display format. The button B4 is an information button, and the user can operate the button B4 to check the definition and detailed explanation of the displayed graph. The

(Processing executed by information processing system 1)
Here, the processing executed by the information processing system 1 will be described with reference to FIGS. 7 to 12. In the following description, it is assumed that the user's long-in authentication by the authentication unit 209 has already been completed. Further, the same components as those described with reference to FIGS. 1 to 6 are designated by the same reference numerals, and duplicate description will be omitted.

(Personnel information acquisition process)
FIG. 7 is a flowchart showing an example of the personnel information acquisition process executed by the information processing system 1. Hereinafter, the personnel information acquisition process executed by the information processing system 1 will be described with reference to FIG. 7.

(Step S101)
The acquisition unit 204 of the server 2 acquires personnel information from the corporate server 4 via the network 5.

(Step S102)
The storage device control unit 203 of the server 2 stores the personnel information acquired by the acquisition unit 204 in the personnel information DB 1 of the storage device 200B.

(Step S103)
After that, the acquisition unit 204 of the server 2 acquires personnel information periodically or irregularly. The personnel information can be acquired and updated every 24 hours, for example, by API linkage or the like.

(Step S104)
The storage device control unit 203 of the server 2 stores (stores) the personnel information acquired by the acquisition unit 204 in the personnel information DB 1 of the storage device 200B in chronological order. For example, the storage device control unit 203 stores (stores) the acquired personnel information in the personnel information DB 1 of the storage device 200B in chronological order together with the time information (time stamp or the like).

(Generation process 1)
FIG. 8 is a flowchart showing an example of the generation process 1 executed by the information processing system 1. Hereinafter, the generation process 1 executed by the information processing system 1 will be described with reference to FIG.

(Step S201)
The generation unit 210 of the server 2 refers to the personnel information DB 1 (first storage unit) in which the members related to the organization and the personnel information including the attributes of the members are stored.

(Step S202)
The generation unit 210 of the server 2 responds to the attributes of members in the organization to which the user belongs, based on the information that identifies the user, such as the user ID of the user, which is transmitted from the user terminal 3 acquired by the authentication unit 209. Therefore, predetermined statistical information is generated from the personnel information of the organization stored in the personnel information DB 1 (first storage unit). For example, the generation unit 210 determines from the personnel information of the organization stored in the personnel information DB 1 according to the attributes such as the department to which the member belongs and the job class, such as statistical information referred to or used by the same department or job class. Generate statistics for. More specifically, for example, when a user belonging to a department of a sales office in Hokkaido uses the information processing system 1 from the user terminal 3, the personnel information of the department and the personnel information that is not restricted by the attributes of the members are added. It can be a process of generating statistical information based on it. Further, for example, when the job class is used by a user of a section chief, it is possible to perform a process of generating statistical information based on personnel information associated with a member attribute equal to or lower than that of the job class. In this way, by generating statistical information according to the attributes of the members in the user's organization of the information processing system 1, sensitive and highly confidential statistical information based on personnel information is suitable for the attributes of the user. It can be presented to the user in the form.

(Step S203)
The transmission unit 202 (output unit) of the server 2 transmits (outputs) predetermined statistical information generated by the generation unit 210 to the user terminal 3. On the user terminal 3, predetermined statistical information transmitted from the transmission unit 202 (output unit) of the server 2 is displayed.

When two or more statistical information is generated from the personnel information by the generation unit 210 in step S202, the transmission unit 202 displays as an aggregate in which two or more charts corresponding to the statistical information are laid out in step S203. Send information to be made.

Here, in step S202, when the generation unit 210 generates predetermined statistical information from the personnel information of the organization stored in the personnel information DB 1 according to the attributes of the members in the organization to which the user belongs, the attribute information (for example, for example). Generates an organizational hierarchy (pyramid structure or hierarchical relationship (upper / lower relationship)) based on the department name, job class), and generates predetermined statistical information from the personnel information of the organization based on this hierarchical structure. You may try to do it.
More specifically, the hierarchical relationship of organizations and job classes (for example, personnel> sales in the case of an organization, the relationship of president> department manager> section manager in the case of a job class) and each organization and job class can be viewed in advance. Settings such as information are stored in the storage device 200B, and the organization's organization is based on attribute information (for example, department name, job class) with reference to the hierarchical relationship of the organization and job class stored in the storage device 200B. Based on the generated hierarchical structure (pyramid structure or hierarchical relationship), the generated hierarchical structure and the information associated with the personnel information of the organization and indicating whether each organization and job class can view the personnel information. , Predetermined statistical information may be generated from the personnel information of the organization.

Further, it is preferable that the setting of the hierarchical structure of the organization and the setting of the personnel information that can be viewed by each organization and the job class can be set from at least one of the server 2 and the user terminal 3. In this case, the hierarchical structure of the organization generated by the server 2 and the personnel information that can be viewed by each organization and job class are once displayed on the monitor of the server 2 or transmitted to the user terminal 3 and then sent to the user terminal 3. It can also be configured so that the hierarchical structure and viewable personnel information can be appropriately set on the screen of the server 2 or the user terminal 3 by displaying the information. The server 2 can generate predetermined statistical information from the personnel information of the organization based on the hierarchical relationship and the viewable personnel information reflecting the setting.

9A to 9C are diagrams showing a hierarchical structure of an organization of a certain company and a human range (report line) in which a specific personnel information can be referred to in the hierarchical structure of the organization displayed on the user terminal 3. Is.
FIG. 9A is a diagram showing a hierarchical structure of an organization and a report line relating to viewable personnel information of member A, which is automatically generated by the server 2 based on the hierarchical structure. The report line can be generated, for example, based on the hierarchical structure of the organization and the member information related to the authority setter of the report line. In the example shown in FIG. 9A, the members a1 to a3 (members a1 to a3 are subordinate to the member A) other than the member A of the organization included in the broken line frame X1 are reported (personnel information is reported to the member A). Is included in the report line as a member). The user can also set the report line by himself / herself by looking at the display of FIG. 9A displayed on the user terminal 3 and appropriately selecting or deleting a member or a range included in the report line.

FIG. 9B shows an example of setting an enlarged report line in which a member b1 belonging to a different affiliation from member A is included in the reporty for the members included in the report line. The user can set the report line, for example, by simply selecting to connect the member A and the member b1 with the broken line L. When the report line is set in this way, as shown in FIG. 9B, in addition to the members a1 to a3 other than the member A of the organization included in the broken line frame X2, the member b1 is reported (personnel information is reported to the member A). Be included in the report line as a member). When setting the enlarged report line, other than selecting to connect the member A and the member b1 with the broken line L, the member A and the member b1 may be selected instead of connecting with the broken line L.

FIG. 9C is a diagram showing an example of a case where the process of changing the report line authority setter in FIG. 9B is performed. The number of people under the control of member A may be small, or the person who performs the personnel evaluation / assessment may be different from the boss on the organizational chart. In such a case, the user can, for example, set the report line authority settings given to the member A to be aggregated in the member C. In this case, for example, by selecting member C in the selection of the report line authority setter, an enlarged report line including members under the control of member C should be automatically set. Is also possible. When the report line is set in this way, as shown in FIG. 9C, the members A and a1 to a3 and the members B and b1 to b2, which are subordinate to the member C of the organization included in the broken line frame X3, are the reports (members). It is included in the report line as a member whose personnel information is reported to C).
If the expanded report line is automatically set, for example, if member D is selected as the report line authority setter, member C, members A and a1 to a3, and members, which are subordinate to member D of the organization, are selected. B and b1 to b2 are included in the report line as reports (members whose personnel information is reported to member C).

(Generation process 2)
FIG. 10 is a flowchart showing an example of the generation process 2 executed by the information processing system 1. Hereinafter, the generation process 2 executed by the information processing system 1 will be described with reference to FIG.

(Step S301)
The calculation unit 205 of the server 2 refers to the members related to the organization and the personnel information DB 1 (first storage unit) in which the personnel information including the attributes of the members is stored.

(Step S302)
The calculation unit 205 of the server 2 calculates the connection between the members related to the organization and the strength of each connection. Since the calculation of the connection between the members related to the organization and the calculation of the strength of each connection by the calculation unit 205 has already been described, duplicate explanations will be omitted.

(Step S303)
The determination unit 208 of the server 2 determines whether or not the connection between the members related to the organization and the strength of each connection satisfy a predetermined condition. If the predetermined condition is satisfied (YES), the server 2 executes the process of step S304. If the predetermined condition is not satisfied (NO), the server 2 ends the connection strength calculation process. Since the predetermined conditions have already been described, duplicate descriptions will be omitted.

(Step S304)
The generation unit 210 of the server 2 generates predetermined statistical information from the personnel information according to the determination result of the determination unit 208. For example, when the determination unit 208 determines that a predetermined condition is satisfied such that the member's turnover movement is considered, the generation unit 210 determines the member's turnover rate from the personnel information according to the determination result of the determination unit 208. Generate statistical information as predetermined statistical information.

(Step S305)
The transmission unit 202 (output unit) of the server 2 transmits (outputs) predetermined statistical information generated by the generation unit 210 to the user terminal 3. On the user terminal 3, predetermined statistical information transmitted from the transmission unit 202 (output unit) of the server 2 is displayed.

When two or more statistical information is generated from the personnel information by the generation unit 210 in step S304, the transmission unit 202 displays as an aggregate in which two or more charts corresponding to the statistical information are laid out in step S305. Send information to be made.

Further, also in the generation process 2 described with reference to FIG. 10, the user appropriately displays on the display device 300D of the user terminal 3 as in the generation process 1 described with reference to FIGS. 8 and 9A to 9C. The predetermined statistical information may be configured so that the setting of the predetermined statistical information to be transmitted to the user can be changed by selecting and operating the predetermined statistical information using the input device 300C. This setting is stored in the storage device 200B in association with the user ID of the member who made the setting, and thereafter, the predetermined statistical information after the setting is generated and presented to the user.

(Generation process 3)
FIG. 11 is a flowchart showing an example of the generation process 3 executed by the information processing system 1. Hereinafter, the generation process 3 executed by the information processing system 1 will be described with reference to FIG.

(Step S401)
The similarity determination unit 206 of the server 2 refers to the personnel information DB 1 and acquires at least one or more information on the number of members of the organization, the type of industry, and the history.

(Step S402)
The similarity determination unit 206 of the server 2 determines other organizations similar to the organization according to the number of acquired members, the type of industry, and the degree of similarity of at least one of the history. Since the calculation of the degree of similarity by the similarity determination unit 206 has already been described, a duplicate description will be omitted.

(Step S403)
The extraction unit 207 of the server 2 extracts another tissue that is the same as or similar to the tissue according to the determination result of the similarity determination unit 206.

(Step S404)
The generation unit 210 of the server 2 refers to the usage status DB 3 and generates statistical information having a reference frequency or a usage frequency of a predetermined value or more in another organization determined to be similar to the organization by the similarity determination unit 206. In this step S404, the generation unit 210 refers to the personnel information DB1 and the usage status DB3, and in addition to the reference frequency or the usage frequency in another organization determined to be similar to the organization by the similarity determination unit 206, the personnel information. Statistical information may be generated according to the attributes of the members who refer to. For example, the generation unit 210 has the same or similar attributes (for example, the department to which the organization belongs) among the statistical information whose reference frequency or usage frequency in other organizations determined to be similar to the organization by the similarity determination unit 206 is equal to or higher than a predetermined value. , Job class, gender, age or age, length of service, period of assignment, place of employment, form of employment, nationality, etc.) may generate statistical information that is referenced or used by members.

(Step S405)
The transmission unit 202 (output unit) of the server 2 transmits (outputs) predetermined statistical information generated by the generation unit 210 to the user terminal 3. On the user terminal 3, predetermined statistical information transmitted from the transmission unit 202 (output unit) of the server 2 is displayed.

When two or more statistical information is generated from the personnel information by the generation unit 210 in step S404, the transmission unit 202 displays as an aggregate in which two or more charts corresponding to the statistical information are laid out in step S405. Send information to be made.

Further, also in the generation process 3 described with reference to FIG. 11, the user appropriately displays on the display device 300D of the user terminal 3 as in the generation process 1 described with reference to FIGS. 8 and 9A to 9C. The predetermined statistical information may be configured so that the setting of the predetermined statistical information to be transmitted to the user can be changed by selecting and operating the predetermined statistical information using the input device 300C. This setting is stored in the storage device 200B in association with the user ID of the member who made the setting, and thereafter, the predetermined statistical information after the setting is generated and presented to the user.

(Advice output processing)
FIG. 12 is a flowchart showing an example of the advice output process executed by the information processing system 1. Hereinafter, the advice output processing executed by the information processing system 1 will be described with reference to FIG.

(Step S501)
The calculation unit 205 of the server 2 refers to the personnel information DB 1 (first storage unit) in which the members related to the organization and the personnel information including the attributes of the members are stored.

(Step S502)
The calculation unit 205 of the server 2 calculates the connection between the members related to the organization and the strength of each connection. Since the calculation of the connection between the members related to the organization and the calculation of the strength of each connection by the calculation unit 205 has already been described, duplicate explanations will be omitted.

(Step S503)
The determination unit 208 of the server 2 determines whether or not the connection between the members related to the organization and the strength of each connection satisfy a predetermined condition. If the predetermined condition is satisfied (YES), the server 2 executes the process of step S504. If the predetermined condition is not satisfied (NO), the server 2 ends the connection advice output process. Since the predetermined conditions have already been described, duplicate descriptions will be omitted.

(Step S504)
The extraction unit 207 of the server 2 refers to the advice DB 2 (second storage unit) in which the change in at least one of the connection between the members and the strength of each connection is stored in association with the result of applying the improvement measure for the change. Then, the determination unit 208 extracts improvement measures for the members who are determined by the determination unit 208 that the change in at least one of the connection between the members and the strength of each connection satisfies a predetermined condition.

(Step S505)
The transmission unit 202 (output unit) of the server 2 transmits (outputs) the improvement measures extracted in step S504 to the user terminal 3 via the network 5.

As described above, the server 2 (information processing apparatus) according to the present embodiment refers to the members related to the organization and the personnel information DB 1 (first storage unit) in which the personnel information including the attributes of the members is stored. A generation unit 210 that generates predetermined statistical information from the personnel information of the organization stored in the personnel information DB 1 (first storage unit) according to the attributes of the members, and a predetermined statistical information generated by the generation unit 210 are transmitted ( A transmission unit 202 (output unit) for output) is provided.
In this way, the necessary statistical information is generated from the personnel information according to the attributes of the members and output (presented to the user), so that the user does not have to judge the information necessary for himself / herself from the huge amount of personnel information. Personnel information can be used more effectively. In addition, it is possible to determine what kind of statistical information to refer to without relying on the user's experience or know-how.
In addition, since necessary statistical information is output (presented) according to the attributes of the members, for example, if the job class is used by the user of the section chief, the member attributes equal to or lower than the job class are associated. It can be a process of generating statistical information based on personnel information, and statistical information based on sensitive and highly confidential personnel information can be generated in a form suitable for the attribute of the user (for example, department or job class). It can be presented to the user.

Further, the server 2 (information processing apparatus) according to the present embodiment has a calculation unit 205 and a calculation unit 205 that calculate at least one of the connection between members related to the organization and the strength of each connection based on personnel information. A determination unit 208 for determining whether or not at least one of the calculated connection between members and the strength of each connection satisfies a predetermined condition is provided. Then, the generation unit 210 generates predetermined statistical information from the personnel information according to the determination result of the determination unit 208.
In this way, since the predetermined statistical information is generated from the personnel information according to the determination result of whether or not at least one of the connection between the members related to the organization and the strength of each connection satisfies the predetermined condition, the user can use the member. It is possible to detect in advance disturbing movements (for example, a decrease in engagement with an organization or a possibility of leaving a job), and the convenience is improved.

Further, the transmission unit 202 (output unit) of the server 2 (information processing apparatus) according to the present embodiment transmits (outputs) information for displaying the statistical information generated by the generation unit 210 in a chart.
Since the information for displaying a plurality of statistical information as a chart is output (presented to the user) in this way, the information is easy to see and is excellent in visibility.

Further, the generation unit 210 of the server 2 (information processing apparatus) according to the present embodiment generates two or more statistical information from the personnel information, and the transmission unit 202 (output unit) has two or more generation units generated by the generation unit 210. Information is transmitted (output) to display the statistical information of the above as an aggregate in which two or more charts corresponding to the statistical information are laid out.
Since the information to be displayed as an aggregate in which two or more charts are laid out is output (presented to the user) in this way, the display device 300D of the user terminal 3 has a chart with two or more statistical information generated as personnel information. It is displayed as a laid-out aggregate and has excellent listability. In addition, since a plurality of information can be confirmed on a chart, it is expected that the information can be easily recognized and comparison and examination (analysis) can be facilitated.

Further, the server 2 (information processing apparatus) according to the present embodiment has a personnel information DB 1 (first memory) based on the acquisition unit 204 that acquires the personnel information of the organization and the personnel information of the organization acquired by the acquisition unit 204. A storage device control unit 203 (update unit) for updating the information stored in the unit) is provided. Since the personnel information is updated in this way, it is possible to compare and examine (analyze) the information using the latest personnel information.

The server 2 (information processing apparatus) according to the present embodiment includes a similarity determination unit 206 for determining another organization similar to the organization. Then, the generation unit 210 generates statistical information having a reference frequency or a usage frequency of a predetermined value or more in another organization determined to be similar to the organization by the similarity determination unit 206.
In this way, since the statistical information is generated with reference to the reference frequency or the usage frequency in other organizations, it is possible to refer to what kind of statistical information is referred to or used by other users.

Further, the generation unit 210 of the server 2 (information processing apparatus) according to the present embodiment refers to personnel information in addition to the reference frequency or usage frequency in other organizations determined to be similar to the organization by the similarity determination unit 206. Generates predetermined statistics according to the attributes of the members.
In this way, since statistical information is generated according to attributes as well as reference frequency or usage frequency in other organizations, attributes (for example, department, job class, gender, age or age, service period, assignment period, etc.) It is possible to refer to what kind of statistical information is referred to or used by other users who have the same or similar work location, employment type, nationality).

Further, the similarity determination unit 206 of the server 2 (information processing apparatus) according to the present embodiment determines another organization similar to the organization according to the similarity of at least one or more of the number of members of the organization, the type of industry, and the history. ..
In this way, since other organizations similar to the organization are determined according to the number of members, the type of industry, and the degree of similarity of at least one or more in the history, statistical information is referred to with reference to the reference frequency or the frequency of use in other organizations closer to each other. Can be generated.

Further, the calculation unit 205 of the server 2 (information processing device) according to the present embodiment refers to the personnel information DB 1 (first storage unit), and determines at least one of the connection between the members related to the organization and the strength of each connection. Calculate in chronological order. Then, the determination unit 208 determines whether or not the change in at least one of the connection between the members and the strength of each connection calculated by the calculation unit 205 satisfies a predetermined condition.
Therefore, the user can grasp at least one of the connection and the strength of each connection in chronological order. In other words, the user can see changes in at least one of the connections and the strength of each connection as lines rather than dots, and more accurately the disturbing movements of the members (eg, reduced engagement with the organization and the possibility of turnover). ) Etc. can be expected to be detected.

The transmission unit 202 (output unit) is characterized in that when the determination unit 208 determines that the change in at least one of the connection between the members and the strength of each connection satisfies a predetermined condition, the determination unit 208 transmits (outputs) the determination result. The information processing apparatus according to claim 9.

Further, the server 2 (information processing apparatus) according to the present embodiment stores the change of at least one of the connection between the members and the strength of each connection and the result of applying the improvement measure for the change in association with the advice DB 2 (). A second storage unit) is referred to, and an extraction unit 207 is provided to extract improvement measures for members whose connection between members and a change in at least one of the strengths of each connection are determined by the determination unit 208 to satisfy a predetermined condition. Then, the transmission unit 202 (output unit) transmits (outputs) the improvement measures extracted by the extraction unit 207.
In this way, since improvement measures are extracted and output, it can be expected that effective measures can be implemented without delay.

Further, the extraction unit 207 of the server 2 (information processing apparatus) according to the present embodiment extracts improvement measures of another organization similar to the organization related to the member determined to satisfy a predetermined condition.
In this way, since the improvement measures of other similar organizations are extracted and output, more effective improvement measures can be expected to be extracted.

[Modified example of the embodiment]
In the above embodiment, the generated statistical information is transmitted (output) to the user terminal 3, but the title of the statistical information (for example, (a) member turnover rate, (b) member distribution, (c) member). Salary, (d) recruitment of members, (e) recruitment yield, (f) labor productivity of members) and display patterns of statistical information corresponding to the title (distribution G1 to in the example of FIG. 6). It may be configured to transmit (output) only (excluding the display of the numerical value as statistical information from G8) to the user terminal 3. It should be noted that such a configuration of "transmitting (outputting) the display pattern of the generated statistical information to the user terminal 3" is also adopted instead of the configuration of "transmitting (outputting) the generated statistical information to the user terminal 3". Either of these two configurations may be appropriately selected and adopted, or one of these two configurations may be used for each display pattern of the distributions G1 to G8. May be selected and adopted.

In addition, when transmitting (outputting) or notifying the generated statistical information to the user terminal 3, if the generated statistical information is generated according to the recommended reason, for example, the attribute, "a user with similar attributes You may send (output) the comment information to the user terminal 3 saying "I am referring or using it."
Further, when predetermined statistical information is generated from the personnel information according to the determination result of the determination unit 208, the determination result information of the determination unit 208 may be transmitted (output) to the user terminal 3.
In addition, when the reference frequency or usage frequency in other organizations determined to be similar to the organization by the similarity determination unit 206 is generating statistical information of a predetermined value or more, "often referred to or used in other similar organizations". The comment information may be transmitted (output) to the user terminal 3.
In addition to the reference frequency or usage frequency in other organizations determined to be similar to the organization by the similarity determination unit 206, when predetermined statistical information is generated according to the attributes of the members who refer to the personnel information, " Statistics often referenced or used by users with similar attributes of other similar organizations (eg department, job class, gender, age or age, length of service, length of assignment, place of work, employment status, nationality) It is information. "You may send (output) the comment information to the user terminal 3. Needless to say, such a configuration is also included in the embodiment of "transmitting (outputting) the generated statistical information to the user terminal 3".

In addition, the above embodiments are merely examples of embodiment of the present invention, and the technical scope of the present invention should not be construed in a limited manner. That is, the present invention can be implemented in various forms without departing from its gist or its main features. For example, the embodiments may be combined and implemented.

1 Information processing system 2 Server 201 Receiver 202 Transmitter (output)
203 Storage device control unit (update unit)
204 Acquisition unit 205 Calculation unit 206 Similarity judgment unit 207 Extraction unit 208 Judgment unit 209 Authentication unit 210 Generation unit 3 User terminal 300A Communication IF
300B Storage device 300C Input device 300D Display device 300E CPU
301 Receiving unit 302 Transmitting unit 303 Storage device control unit 304 Operation receiving unit 305 Display device control unit 4 Corporate server 5 Network DB1 Personnel information database (first storage unit)
DB2 advisory database (second storage)
DB3 usage database DB4 relationship database

Claims (14)

1. With reference to a member related to the organization and a first storage unit in which personnel information including the attribute of the member is stored, and a generation unit that generates predetermined statistical information from the personnel information of the organization according to the attribute of the member. ,
   An output unit that outputs the statistical information generated by the generation unit, and
   An information processing device characterized by being equipped with.
2. A calculation unit that calculates at least one of the connections between members related to the organization and the strength of each connection based on the personnel information.
   A determination unit for determining whether or not at least one of the connection between members calculated by the calculation unit and the strength of each connection satisfies a predetermined condition is provided.
   The generator is
   The information processing apparatus according to claim 1, wherein the predetermined statistical information is generated according to the determination result of the determination unit.
3. The output unit is
   The information processing apparatus according to claim 1, further comprising outputting information for displaying a chart of the statistical information generated by the generation unit.
4. The generator is
   Generate two or more of the statistical information from the personnel information
   The output unit is
   3. The third aspect of the present invention is characterized in that it includes outputting information for displaying two or more of the statistical information generated by the generation unit as an aggregate in which two or more charts corresponding to the statistical information are laid out. Information processing equipment.
5. The acquisition department that acquires personnel information of the organization,
   An update unit that updates the information stored in the first storage unit based on the personnel information of the organization acquired by the acquisition unit, and an update unit.
   The information processing apparatus according to claim 1, wherein the information processing apparatus is provided.
6. It is provided with a similarity determination unit for determining other tissues similar to the above-mentioned tissue.
   The generator is
   The information processing apparatus according to claim 1, wherein the information processing apparatus according to claim 1 is characterized in that it generates statistical information having a reference frequency or a usage frequency of a predetermined value or more in another organization determined to be similar to the organization by the similarity determination unit.
7. The generator is
   It is characterized in that, in addition to the reference frequency or the frequency of use in other organizations determined to be similar to the organization by the similarity determination unit, the predetermined statistical information is generated according to the attributes of the members who refer to the personnel information. The information processing apparatus according to claim 6.
8. The similarity determination unit is
   The information processing apparatus according to claim 6, wherein another organization similar to the organization is determined according to the similarity of at least one or more in the number of members, the type of industry, and the history of the organization.
9. The calculation unit
   With reference to the first storage unit, at least one of the connection between the members related to the organization and the strength of each connection is calculated in chronological order.
   The determination unit
   The information processing apparatus according to claim 1, wherein it is determined whether or not a change in at least one of a connection between members and a change in the strength of each connection calculated by the calculation unit satisfies the predetermined condition.
10. The output unit is
    The information processing according to claim 9, wherein when the determination unit determines that the change in at least one of the connection between the members and the strength of each connection satisfies the predetermined condition, the determination result is output. Device.
11. The connection between the members and the connection between the members are referred to by the determination unit with reference to the second storage unit in which the change in at least one of the connection between the members and the strength of each connection is stored in association with the result of applying the improvement measure for the change. And an extraction unit that extracts improvement measures for members who are determined to meet the predetermined conditions for changes in at least one of the strengths of each connection.
    The output unit is
    The information processing apparatus according to claim 9, wherein the improvement measures extracted by the extraction unit are output.
12. The extraction unit
    The information processing apparatus according to claim 11, wherein the improvement measures of another organization similar to the organization related to the member determined to satisfy the predetermined condition are extracted.
13. A step in which the generation unit refers to a member related to the organization and a storage unit in which personnel information including the attributes of the member is stored, and generates predetermined statistical information from the personnel information of the organization according to the attributes of the member. When,
    A step in which the output unit outputs the predetermined statistical information generated by the generation unit, and
    An information processing method characterized by having.
14. Computer,
    A generation unit that refers to a member related to an organization and a storage unit in which personnel information including the attributes of the member is stored, and generates predetermined statistical information from the personnel information of the organization according to the attributes of the member.
    An output unit that outputs the predetermined statistical information generated by the generation unit,
    A storage medium that stores an information processing program that functions as an information processing program.

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