JP7227183B2 - Management server and analysis result screen provision method - Google Patents

Description

The present invention relates to a management server and an analysis result screen providing method.

Conventionally, in companies, managers evaluate working conditions, business efficiency, and labor productivity by interviewing employees, conducting questionnaires, and the like.

JP-A-2002-73843

For example, Patent Literature 1 discloses an information providing system, an information providing method, and a storage medium capable of providing management consulting services using a public network.

However, Patent Document 1 acquires and analyzes the behavioral data of the company as it is, without the cost and expertise associated with conducting hearings, etc., grasping the company's problem and proposing an optimal problem-solving method. It is not intended for systems that

The purpose of the present invention is to understand corporate problems and propose optimal problem-solving methods by acquiring and analyzing corporate behavioral data without the need for the costs and specialized knowledge associated with conducting hearings. It is to provide the technology that makes it possible.

A brief outline of typical inventions disclosed in the present application is as follows.

An embodiment of the present invention is a user terminal, an administrator terminal, a big data storage unit, and a management server wirelessly connected to the user terminal, the administrator terminal, and the big data storage unit via a network, , based on the user information and acquired data stored in the user information storage unit and the related numerical information stored in the big data storage unit, an evaluation score is calculated for each item of the acquired data, and the calculated evaluation score an acquired data analysis unit that generates an analysis result based on the It also has an analysis result screen generation unit that generates an analysis result screen based on the generated analysis result. In addition, it determines whether or not there is an item with an evaluation score less than a predetermined numerical value among the items included in the analysis results generated by the acquired data analysis unit, and if there is an item with an evaluation score less than the predetermined numerical value, and a consulting screen generating unit that generates a consulting screen based on the generated analysis result.

According to the present invention, by acquiring and analyzing the behavioral data of the company as it is, it is possible to grasp the problem of the company and propose the optimum problem solving method without the cost and expertise associated with conducting hearings. becomes possible.

1 is a diagram showing an overview of a configuration example of an analysis result screen providing system according to an embodiment of the present invention; FIG. 3 is a diagram showing an overview of user information and acquired data stored in a user information storage unit of a management server according to one embodiment of the present invention; FIG. FIG. 4 is a diagram showing an overview of administrator information and analysis results stored in an administrator information storage unit of a management server according to one embodiment of the present invention; It is a figure which shows the outline|summary of the whole process in one embodiment of this invention. FIG. 4 is a diagram showing an overview of user information acquisition processing and user information storage processing according to one embodiment of the present invention; FIG. 10 is a diagram showing an overview of administrator information acquisition processing and administrator information storage processing according to one embodiment of the present invention; It is a figure which shows the outline|summary of related numerical information and an evaluation score in one embodiment of this invention. FIG. 4 is a diagram showing an overview of acquired data analysis processing in one embodiment of the present invention; It is a figure which shows the concept of the analysis result screen in one embodiment of this invention. FIG. 5 is a diagram showing an overview of analysis result screen generation processing and analysis result screen storage processing in one embodiment of the present invention; FIG. 10 is a diagram showing an overview of a configuration example of analysis result screen provision processing in one embodiment of the present invention; It is a figure which shows the concept of the consultation screen in one embodiment of this invention. FIG. 4 is a diagram showing an outline of a consultation screen generation process and a consultation screen storage process in one embodiment of the present invention; It is a figure which shows the outline|summary of the structural example of the consultation screen provision process in one embodiment of this invention.

EMBODIMENT OF THE INVENTION Hereafter, it demonstrates, referring a figure for the form for implementing this invention. This is just an example, and the technical scope of the present invention is not limited to this. In principle, the same reference numerals are given to the same parts in all the drawings for explaining the embodiments, and repeated explanations thereof will be omitted.
<System configuration>
FIG. 1 is a diagram showing an overview of a configuration example of an analysis result screen providing system according to one embodiment of the present invention.

As shown in FIG. 1, the analysis result screen providing system includes a user terminal 100, an administrator terminal 110, a big data storage unit 135, the user terminal 100, the administrator terminal 110, the big data storage unit 135, and a network. and a management server 120 that is wirelessly connected via. That is, the management server 120 is connected to the user terminal 100, the administrator terminal 110, and the big data storage unit 135 via a network.

The management server 120 includes a user information storage unit 130, an administrator information storage unit 131, an analysis result storage unit 132, an analysis result screen storage unit 133, a consulting screen storage unit 134, an acquired data analysis unit 140, an analysis It has a result screen generation unit 150 , an analysis result screen provision unit 160 , a consultation screen generation unit 170 , and a consultation screen provision unit 180 .

The user information storage unit 130 stores user information 200 (described later, FIG. 2). The administrator information storage unit 131 stores administrator information 300 (described later, FIG. 3). The analysis result storage unit 132 stores an analysis result 310 (described later, FIG. 3). Note that the administrator information storage unit 131 may be the same database as the analysis result storage unit 132 .

The analysis result screen storage unit 133 stores an analysis result screen 900 (described later, FIG. 9). The consulting screen storage unit 134 stores a consulting screen 1200 (described later, FIG. 12).

The analysis result screen generation unit 150 generates an analysis result screen 900 (described later, FIG. 9) based on the generated analysis result 310 .

The analysis result screen providing unit 160 provides the generated analysis result screen 900 to the user terminal 100 and the administrator terminal 110 .

Acquired data analysis unit 140 analyzes each of acquired data 210 based on user information 200 and acquired data 210 stored in user information storage unit 130 and related numerical information 700 stored in big data storage unit 135. A rating score 800 is calculated for the item, and an analysis result 310 is generated based on the calculated rating score 800 . Details of the related numerical information 700 and the evaluation score 800 will be described later.

Consultation screen generation unit 170 determines whether or not there is an item whose evaluation score 800 is less than a predetermined numerical value among the items included in analysis result 310 generated by acquired data analysis unit 140, If there are items less than the numerical value, the consultation screen 1200 is generated based on the generated analysis result 310 .

The consulting screen providing unit 180 provides the generated consulting screen 1200 to the user terminal 100 and the administrator terminal 110 when the consulting screen generating unit 170 generates the consulting screen 1200 .
<User information storage unit>
FIG. 2(a) is a diagram showing an overview of a configuration example of user information 200 stored in the user information storage unit 130 of the management server 120 according to one embodiment of the present invention.

As shown in FIG. 2A, the user information 200 is composed of data items such as a user ID, company name, industry, affiliation information, and acquired data 210 .

The user ID indicates a code for the management server 120 to identify the user. Name indicates the name of the user. The company name indicates the name of the company to which the user belongs. Acquisition data 210 indicates the content of data acquired by the user terminal 100 receiving an input from the user (details will be described later).

FIG. 2(b) is a diagram showing an outline of a configuration example of acquired data 210 included in user information 200 stored in user information storage unit 130 of management server 120 according to an embodiment of the present invention. Acquisition data 210 indicates information such as working days, typing data, file configuration, application use data, print data, attendance data, and other mail histories.

“Working day” indicates the date when the management server 120 received the input of the acquired data 210 from the user.

The “typing data” indicates information received from the user during working hours by the user terminal 100, such as the speed of typing, the history of conversion registration, and the history of duplicate typing. Among them, for example, the typing speed is indicated as a numerical value such as "1.4 characters/second" or "2.8 times/second". By analyzing the typing data, the management server 120 can evaluate the business efficiency of the user's work.

"File structure" indicates information such as the structure of data files or data folders in the user terminal 100 operated by the user during working hours. For example, the file configuration is indicated as a numerical value such as "20 data/file". By analyzing the file configuration, the management server 120 can evaluate the business efficiency of the user's work.

The “application usage data” indicates information such as usage history of applications in the user terminal 100 operated by the user during working hours. For example, application usage data is indicated as a numerical value such as "5.3 applications/user". By analyzing the application usage data, the management server 120 can evaluate the business efficiency of the user's work.

The “print data” indicates information such as a history of print instructions operated by the user during working hours on the user terminal 100 . For example, print data is indicated as a numerical value such as "3 times/hour" or "4.8 sheets/hour". By analyzing the print data, the management server 120 can evaluate the business efficiency of the user's work.

"Attendance data" indicates information such as working hours, arrival/departure times, and absence times received from the user by the user terminal 100 during working hours. For example, the attendance data is indicated as a numerical value such as "8 hours". By analyzing the attendance data, the management server 120 can evaluate the user's work, such as risk analysis.
<Administrator information storage unit>
FIG. 3A is a diagram showing an overview of a configuration example of administrator information 300 stored in the administrator information storage unit 131 of the management server 120 according to one embodiment of the present invention.

As shown in FIG. 3A, the administrator information 300 is composed of data items such as administrator ID, company name, type of business, affiliated user ID, and analysis result 310 .

The administrator ID indicates a code for the management server 120 to identify the administrator. The name indicates the name of the administrator. The company name indicates the name of the company or the like to which the administrator belongs. The type of business indicates the type of business such as the company to which the manager belongs. Affiliated user ID indicates a user ID of a user who belongs to a company or the like to which the administrator belongs. The analysis result 310 indicates the content of data generated by the acquired data analysis unit 140 (details will be described later).

FIG. 3B is a diagram showing an outline of a configuration example of the analysis result 310 included in the administrator information 300 stored in the administrator information storage unit 131 of the management server 120 according to one embodiment of the present invention. . The analysis result 310 indicates information such as working days, typing speed, degree of information sharing, app distribution, printing cost, production time rate, and the like.

The “typing speed” indicates the typing speed received by the user terminal 100 from the user during working hours. For example, when the typing speed is "2.8 times/sec", the analysis result 310 is shown as "evaluation score 60". By analyzing the typing speed, the management server 120 can evaluate the business efficiency of the user's work.

"Information sharing degree" indicates the degree of information sharing with respect to the group to which the user belongs. For example, the evaluation score is indicated by analyzing the file configuration, mail history, etc. of the acquired data 210 . By indicating the degree of information sharing, the management server 120 can evaluate the business efficiency of the user's work.

“Application distribution” indicates the degree of distribution of applications used by users. For example, the evaluation score is indicated by analyzing application usage data and the like in the acquired data 210 . By indicating the application distribution, the management server 120 can evaluate the business efficiency of the user's work.

"Print Cost" indicates the cost incurred by the user using printing. For example, when the print data is "3 times/hour", the analysis result 310 is indicated as "evaluation score 60". By indicating the printing cost, the management server 120 can evaluate the cost of the user's work.

"Production hour rate" indicates the amount of production or the amount of processing for the hours that the user works. For example, the evaluation score is indicated by analyzing the typing data, application usage data, etc. of the acquired data 210 . By indicating the production hour rate, the management server 120 can evaluate the business efficiency of the user's work.
<Overall processing>
FIG. 4 is a diagram showing an outline of overall processing in one embodiment of the present invention.

First, in S401, the management server 120 performs user information acquisition processing and user information storage processing (described later with reference to FIG. 5).

Next, in S402, the management server 120 performs administrator information acquisition processing and administrator information storage processing (described later with reference to FIG. 6).

Next, in S403, the management server 120 performs acquired data analysis processing (described later with reference to FIG. 8).

Next, in S404, the management server 120 performs analysis result screen generation processing and analysis result screen storage processing (described later with reference to FIGS. 9 and 10).

Next, in S405, the management server 120 performs an analysis result screen providing process (described later with reference to FIG. 11).

Next, when the user determines to generate a consultation screen, in S406, the management server 120 performs a consultation screen generation process and a consultation screen storage process (described later with reference to FIGS. 12 and 13).

Next, in S407, the management server 120 performs a consultation screen providing process (described later with reference to FIG. 14).
<User information storage processing>
FIG. 5(a) is a diagram showing an outline of user information storage processing in one embodiment of the present invention. A method for the management server 120 to store the user information 200 will be described below.

First, in S501, the management server 120 provides the user terminal 100 with a user information input screen.
Next, in S502, the user terminal 100 displays a user information input screen on the display.

After that, when the user uses the system according to the present invention for the first time, the user terminal 100 receives input of the user information 200 from the user in S503.
The user information 200 includes data items such as a user ID, name, contact information, and domain.
Next, in S504, the user terminal 100 transmits to the management server 120 the user information 200 whose input was accepted in S503.

Next, in S505, the management server 120 acquires the user information 200 by receiving the user information 200 transmitted in S504.
Next, in S506, the management server 120 attaches a user ID to the received user information 200, and stores the user information 200 whose input was accepted in S503 in the user information storage unit 130. FIG.
<User information acquisition process>
FIG. 5B is a diagram showing an overview of user information acquisition processing in one embodiment of the present invention. A method for the management server 120 to acquire the user information 200 will be described below.

When the user uses the system according to the present invention for the second time or later, in S507, the user terminal 100 accepts input of the user ID from the user. Note that the user ID is included in the user information 200 .
Next, in S<b>508 , the user terminal 100 transmits to the management server 120 the user ID whose input was accepted in S<b>507 .

After that, in S509, the management server 120 acquires the user information 200 corresponding to the key of the user ID transmitted in S508 from the user information storage unit .
<Administrator information storage processing>
FIG. 6A is a diagram showing an overview of administrator information storage processing in one embodiment of the present invention. A method for the management server 120 to store the administrator information 300 will be described below.

First, in S601, the management server 120 provides the administrator terminal 110 with an administrator information input screen.
Next, in S602, the administrator terminal 110 displays an administrator information input screen on the display.

After that, when the administrator uses the system according to the present invention for the first time, the administrator terminal 110 receives input of the administrator information 300 from the administrator in S603. The administrator information 300 is composed of data items such as an administrator ID, name, contact information, and affiliated site.
Next, in S604, the administrator terminal 110 transmits to the management server 120 the administrator information 300 whose input was accepted in S603.

Next, in S605, the management server 120 acquires the administrator information 300 by receiving the administrator information 300 transmitted in S604.
Next, in S606, the management server 120 attaches an administrator ID to the received administrator information 300, and stores the administrator information 300 whose input was accepted in S603 in the administrator information storage unit 131. FIG.
<Administrator information acquisition process>
FIG. 6B is a diagram showing an overview of administrator information acquisition processing according to one embodiment of the present invention. A method for the management server 120 to acquire the administrator information 300 will be described below.

When the administrator uses the system according to the present invention for the second time or later, in S607, the administrator terminal 110 receives input of the administrator ID from the administrator. Note that the administrator ID is included in the administrator information 300. FIG.
Next, in S<b>608 , the administrator terminal 110 transmits to the management server 120 the administrator ID whose input was accepted in S<b>607 .

After that, in S609, the management server 120 acquires the administrator information 300 corresponding to the key of the administrator ID transmitted in S608 from the administrator information storage unit 131. FIG.
<Related numerical information and evaluation score>
FIG. 7 is a diagram showing an overview of related numerical information 700 and evaluation score 800 in one embodiment of the present invention.

As shown in FIG. 7, the related numerical information 700 indicates, for example, the average value for each item of the acquired data 210. In FIG. Note that the related numerical value information 700 may also include a minimum value and a maximum value in addition to the average value. Also, the related numerical information 700 is extracted from the big data storage unit 135 for each industry.

For example, the related numerical information 700 about the “lens manufacturing industry” is stored from the big data storage unit 135 for each item such as typing speed and printing data for companies such as company X and company Y belonging to the “lens manufacturing industry”. Obtained by extracting data. That is, by calculating the average value for each item of the acquired data 210 for companies such as Company X and Company Y belonging to the “lens manufacturing industry”, the related numerical information 700 for the “lens manufacturing industry” is obtained. .

Also, as shown in FIG. 7, the evaluation score 800 is a numerical value obtained by comparing the obtained data 210 of a predetermined user with the average value included in the related numerical information 700 for each item of the obtained data 210. show. That is, for each item of the acquired data 210, the evaluation score 800 is high depending on whether the acquired data 210 of the predetermined user is a numerical value superior to the average value included in the related numerical information 700. It determines whether it is numeric or not.

For example, when the acquired data 210 about the typing speed of company A is "2.8 times/second" and the related numerical information 700 is "1.8 times/second", the evaluation of the typing speed of company A is The score 800 is shown as "60". Note that the evaluation score 800 can be a numerical value from 1 to 99, but is not particularly limited.

Also, as shown in FIG. 7, the analysis result screen 900 is generated based on the evaluation score 800. FIG. The consultation screen 1200 is generated based on the item whose evaluation score 800 is a predetermined numerical value, for example, less than 50.

In this way, the management server 120 extracts the related numerical information 700, which is the average value for the industry to which the user belongs, from the big data storage unit 135, compares it with the acquired data 210 derived from the user's behavior, and analyzes it. , to assess how well user behavior is performing within the industry.

In addition, by generating the consultation screen 1200 for the item whose evaluation score 800 is a predetermined numerical value, for example, less than 50, the management server 120 can be used by the company without the need for the cost and specialized knowledge associated with conducting hearings and the like. You can understand the problem and propose the best problem solving method.
<Analysis result generation processing>
FIG. 8 is a diagram showing an overview of acquired data analysis processing in one embodiment of the present invention. A method for the management server 120 to generate the analysis result 310 will be described below.

First, in S<b>801 , acquired data analysis unit 140 of management server 120 extracts user information 200 from user information storage unit 130 .

Next, in S802, the acquired data analysis unit 140 extracts the acquired data 210 corresponding to the user ID included in the user information 200 extracted in S801.

Next, in S803, the acquired data analysis unit 140 extracts from the big data storage unit 135 the related numerical information 700 for each item of the acquired data 210 extracted in S802.

Next, in S804, the acquired data analysis unit 140 calculates an evaluation score 800 for each item of the acquired data 210 based on the related numerical information 700 extracted in S803. For each item of the acquired data 210 extracted in S802, the acquired data analysis unit 140 compares the numerical value of the acquired data 210 with the average value included in the related numerical information 700 extracted in S803 to obtain the evaluation score 800. Calculate

Note that the acquired data analysis unit 140 evaluates each item of the acquired data 210 according to whether the numerical value of the acquired data 210 is superior to the average value included in the related numerical information 700. Determine the numerical value of the score 800.

Next, in S805, acquired data analysis unit 140 generates analysis result 310 based on evaluation score 800 calculated in S804. For each item of the acquired data 210 , the acquired data analysis unit 140 generates an analysis result 310 by linking the calculated evaluation score 800 , the user ID, the working days, and the like.

Next, in S<b>806 , acquired data analysis unit 140 stores analysis result 310 generated in S<b>805 in analysis result storage unit 132 .

Next, in S<b>807 , acquired data analysis unit 140 requests analysis result screen generation unit 150 to generate analysis result screen 900 .

Next, in S808, the acquired data analysis unit 140 determines whether or not there is an item whose evaluation score 800 is a predetermined numerical value, for example, less than 50, among the items included in the analysis result 310 generated in S805. . Note that the predetermined numerical value is not particularly limited.

If there is no item whose evaluation score 800 is less than a predetermined value, for example, less than 50, among the items included in the analysis result 310 generated in S805, the acquired data analysis unit 140 ends this step.

If there is an item whose evaluation score 800 is a predetermined numerical value, for example, less than 50, among the items included in the analysis result 310 generated in S805, the acquired data analysis unit 140 consults the generation of the consultation screen 1200 in S809. The screen generator 170 is requested.

In this way, by extracting from the big data storage unit 135 the related numerical information 700, which is the average value for the industry to which the user belongs, and analyzing it in comparison with the acquired data 210 derived from the user's behavior, the user's behavior can be Evaluate how good you are in your industry.
<Analysis result screen>
FIG. 9 is a diagram showing the concept of an analysis result screen 900 according to one embodiment of the present invention.

As shown in FIG. 9( a ), the analysis result screen 900 includes a score display area 910 and a first chart display area 920 .

The score display area 910 displays the numerical value of the evaluation score 800 among the analysis results 310 calculated for each item of the acquired data 210 . It should be noted that the method of displaying the numerical value of the evaluation score 800 displayed in the score display area 910 is not particularly limited.

The first chart display area 920 displays the numerical value of the evaluation score 800 among the analysis results 310 calculated for each item of the acquired data 210, for example, in a chart such as a line graph or a histogram. It should be noted that the method of displaying the chart such as the numerical value of the evaluation score 800 displayed in the first chart display area 920 is not particularly limited.

Further, as shown in FIG. 9B, the analysis result screen 900 may include only the second chart display area 930. FIG. In this case, the analysis result screen 900 may not include the score display area 910 .

The second chart display area 930 displays numerical values such as the evaluation score 800 among the analysis results 310 calculated for each item of the acquired data 210 in a format different from that of the chart displayed in the first chart display area 920, such as a radar chart. It is displayed by a chart such as a chart. It should be noted that the method of displaying the chart such as the numerical value of the evaluation score 800 displayed in the second chart display area 930 is not particularly limited.

In this way, the user can understand the company's problems without the need for the costs and expertise associated with conducting hearings and the like. In addition, since the analysis result screen 900 has a plurality of different chart display areas, the user can grasp the company's problems in a more multifaceted manner.
<Analysis result screen generation processing and analysis result screen storage processing>
FIG. 10 is a diagram showing an outline of analysis result screen generation processing and analysis result screen storage processing in one embodiment of the present invention.

First, in S<b>1001 , the analysis result screen generation unit 150 of the management server 120 receives the generation request of the analysis result screen 900 requested in S<b>807 and extracts the analysis result 310 required for generation from the analysis result storage unit 132 .

Next, in S1002, the analysis result screen generation unit 150 generates the analysis result screen 900 based on the analysis result 310 extracted in S1001.

Next, in S<b>1003 , the analysis result screen generation unit 150 stores the analysis result screen 900 generated in S<b>1002 in the analysis result screen storage unit 133 .

Next, in S<b>1004 , the analysis result screen generating unit 150 requests the analysis result screen providing unit 160 to provide the analysis result screen 900 .
<Analysis result screen provision processing>
FIG. 11 is a diagram showing an overview of a configuration example of analysis result screen provision processing according to an embodiment of the present invention.

First, in S1101, the analysis result screen providing unit 160 of the management server 120 accepts the request for providing the analysis result screen 900 requested in S1004.

Next, in S<b>1102 , the analysis result screen providing unit 160 extracts the analysis result screen 900 stored in S<b>1003 from the analysis result screen storage unit 133 .

Next, in S<b>1103 , the analysis result screen providing unit 160 extracts the administrator information 300 corresponding to the administrator ID whose analysis result screen 900 is to be provided from the administrator information storage unit 131 .

Next, in S1104, the analysis result screen providing unit 160 provides the administrator terminal 110 with the analysis result screen 900 extracted in S1102.

Next, in S1105, the administrator terminal 110 causes the display of the terminal to display the analysis result screen 900 provided by the management server 120 in S1104.

Next, in S1106, the analysis result screen providing unit 160 extracts from the user information storage unit 130 the user information 200 corresponding to the affiliated user ID included in the administrator information 300 extracted in S1103.

Next, in S1107, the analysis result screen providing unit 160 provides the user terminal 100 with the analysis result screen 900 extracted in S1102.

Next, in S1108, the user terminal 100 causes the display of the terminal to display the analysis result screen 900 provided by the management server 120 in S1107.

In this way, the user can understand the company's problems without the need for the costs and expertise associated with conducting hearings and the like.
<Consultation screen>
FIG. 12 is a diagram showing the concept of a consultation screen 1200 according to one embodiment of the present invention.

As shown in FIG. 12 , consultation screen 1200 includes comment display area 1210 .

A comment display area 1210 displays a comment for recommending business improvement for an item whose evaluation score 800 is a predetermined numerical value, for example, less than 50, among the items included in the analysis result 310 . It should be noted that the method of displaying comments and the like displayed in the comment display area 1210 is not particularly limited.

For example, if the evaluation score 800 of “printing cost” included in the analysis result 310 is “46”, the comment display area 1210 displays “printing cost evaluation is It is low" or "It would be good to improve printing to XX times per hour". It should be noted that the numerical value of ◯◯ related to this improvement comment can be the numerical value of the related numerical information 700 used as the comparison standard. Also, the method of displaying the comments and the like displayed in the comment display area 1210 is not particularly limited.

In this way, users can learn the best solutions to corporate problems without the costs and expertise associated with conducting hearings and the like.
<Consultation Screen Generation Processing and Consultation Screen Storage Processing>
FIG. 13 is a diagram showing an overview of the consultation screen generation process and the consultation screen storage process in one embodiment of the present invention.

First, in S<b>1301 , the consultation screen generation unit 150 of the management server 120 receives the request for generation of the consultation screen 1200 requested in S<b>809 and extracts the analysis result 310 required for generation from the analysis result storage unit 132 .

Next, in S1302, the consultation screen generation unit 150 generates the consultation screen 1200 based on the analysis result 310 extracted in S1301.

Next, in S<b>1303 , the consultation screen generation unit 150 stores the consultation screen 1200 generated in S<b>1302 in the consultation screen storage unit 134 .

Next, in S<b>1304 , the consultation screen generation unit 150 requests the consultation screen provision unit 180 to provide the consultation screen 1200 .
<Consultation screen provision processing>
FIG. 14 is a diagram showing an overview of a configuration example of the consultation screen providing process according to one embodiment of the present invention.

First, in S1401, the consultation screen providing unit 180 of the management server 120 accepts the request for providing the consultation screen 1200 requested in S1304.

Next, in S<b>1402 , the consultation screen providing unit 180 extracts the consultation screen 1200 stored in S<b>1303 from the consultation screen storage unit 134 .

Next, in S<b>1403 , the consultation screen providing unit 180 extracts the administrator information 300 corresponding to the administrator ID for whom the consultation screen 1200 is to be provided from the administrator information storage unit 131 .

Next, in S1404, the consulting screen providing unit 180 provides the administrator terminal 110 with the consulting screen 1200 extracted in S1402.

Next, at S1405, the administrator terminal 110 causes the terminal display to display the consultation screen 1200 provided from the management server 120 at S1404.

Next, in S1406, the consulting screen providing unit 180 extracts from the user information storage unit 130 the user information 200 corresponding to the affiliated user ID included in the administrator information 300 extracted in S1403.

Next, in S1407, the consulting screen providing unit 180 provides the user terminal 100 with the consulting screen 1200 extracted in S1402.

Next, at S1408, the user terminal 100 causes the terminal display to display the consultation screen 1200 provided from the management server 120 at S1407.

In this way, by generating the consultation screen 1200 for an item whose evaluation score 800 is a predetermined numerical value, for example, less than 50, the user can obtain information about the company without the need for the costs and expertise associated with conducting hearings and the like. You can know the best solution for the problem.
<Effects of this embodiment>

According to the embodiments of the present invention described above, the purpose of the present invention is to obtain and analyze the unvarnished behavioral data of companies, thereby enabling companies to It is possible to grasp the problem and propose the optimum problem solving method.

The invention made by the present inventor has been specifically described above based on the embodiment, but the present invention is not limited to the above embodiment, and can be variously modified without departing from the scope of the invention. Needless to say. For example, customer terminals include not only smart phones, but also various types of customer terminals such as notebook PCs and tablet terminals.

Moreover, the above-described embodiments are described in detail for easy understanding of the present invention, and are not necessarily limited to those having all the described configurations. Also, part of the configuration of one embodiment can be replaced with the configuration of another embodiment, and the configuration of another embodiment can be added to the configuration of one embodiment. . Also, a part of the configuration of each embodiment may be added, deleted, or replaced with another configuration.

Further, each of the configurations, functions, and processing units described above may be implemented partially or entirely by hardware (for example, an integrated circuit). In addition, each of the above configurations, functions, and processing units are installed software via a network or by a storage medium such as a disk, in which the processor interprets and executes a program that realizes each function, or a network application such as ASP. may be realized. Information such as programs, tables, and files that implement each function can be stored in recording devices such as memories, hard disks, SSDs (Solid State Drives), or recording media such as IC cards, SD cards, and DVDs.

100 User terminal 110 Administrator terminal 120 Management server 130 User information storage unit 131 Administrator information storage unit 132 Analysis result storage unit 133 Analysis result screen storage unit 134 Consulting Screen storage unit 135 Big data storage unit 140 Obtained data analysis unit 150 Analysis result screen generation unit 160 Analysis result screen provision unit 170 Consultation screen generation unit 180 Consultation screen provision unit 900 Analysis result screen 1200...Consultation screen

Claims (4)

A user terminal, an administrator terminal, a big data storage unit, and a management server wirelessly connected to the user terminal, the administrator terminal, and the big data storage unit via a network,
Based on the user information and acquired data stored in the user information storage unit and the related numerical information stored in the big data storage unit, an evaluation score is calculated for each item of the acquired data, and the calculated score is calculated. an acquired data analysis unit that generates an analysis result based on the evaluation score;
an analysis result screen generation unit that generates an analysis result screen based on the generated analysis result;
Determining whether or not there is an item with an evaluation score less than a predetermined numerical value among the items included in the analysis result generated by the acquired data analysis unit, and if there is an item with an evaluation score less than the predetermined numerical value a consulting screen generating unit that generates a consulting screen based on the generated analysis result,
The acquired data includes typing data received by the user terminal from the user during working hours, including typing speed, conversion registration history, and duplicate typing history, and data in the terminal operated by the user during working hours. and application usage data that indicates information on the usage history of applications in the terminal operated by the user during working hours,
In the related numerical information, the average value of each item is extracted for each industry,
The evaluation score is calculated by comparing the obtained data with the average value of each item.
Management server. In the management server according to claim 1,
an analysis result screen providing unit that provides the generated analysis result screen to the administrator terminal;
a consulting screen providing unit that provides the generated consulting screen to the administrator terminal when the consulting screen generating unit generates the consulting screen,
Management server. A method for providing an analysis result screen having a user terminal, an administrator terminal, a big data storage unit, and a management server wirelessly connected to the user terminal, the administrator terminal, and the big data storage unit via a network and
a step of the management server acquiring and storing user information from the user terminal;
a step of the management server acquiring and storing administrator information from the administrator terminal;
The management server calculates an evaluation score for each item of the acquired data based on the user information and acquired data stored in the user information storage unit and the related numerical information stored in the big data storage unit. calculating and generating an analysis result based on the calculated evaluation score;
a step of the management server generating an analysis result screen based on the generated analysis result;
When the management server determines whether or not there is an item with an evaluation score less than a predetermined numerical value among the items included in the generated analysis result, and there is an item with an evaluation score less than the predetermined numerical value and generating a consulting screen based on the generated analysis result,
The acquired data includes typing data received by the user terminal from the user during working hours, including typing speed, conversion registration history, and duplicate typing history, and typing data received from the user during working hours. and application usage data that indicates information on the usage history of applications in the terminal operated by the user during working hours,
In the related numerical information, the average value of each item is extracted for each industry,
The evaluation score is calculated by comparing the obtained data with the average value of each item.
How to provide the analysis result screen. In the method for providing an analysis result screen according to claim 3,
a step of the management server providing the generated analysis result screen to the administrator terminal;
providing the generated consulting screen to the administrator terminal when the management server generates the consulting screen;
How to provide the analysis result screen.

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