JP2017194808A - Behavioral characteristic analyzer and behavioral characteristic analysis system - Google Patents

Abstract

【Task】
Differences in behavior between excellent employees and general employees, using the operation log of the business system and business data created by each operation, differences in operations performed by the excellent employee and general employees using the business system, and operations performed The difference of the data used in is presented.
[Solution]
The behavior characteristic analysis apparatus 100 extracts the contents of the terminal operations performed by the terminal operator, the execution order, and the data used in the terminal operations based on the operation log of the business system and the business data created by each operation. Then, the extraction result is classified for each negotiation stage along the business flow, and is displayed on the output unit 106 in a form that can be compared for each terminal operator.
Further, if necessary, the contents of the operation for each terminal operator, the execution order, and the difference in data used for the terminal operation are highlighted and displayed.
[Selection] Figure 1

Description

  The present invention relates to a behavior characteristic analysis apparatus and a behavior characteristic analysis system using a terminal operation log.

  Companies have good employees who can efficiently achieve business goals such as sales and the number of contracts, and other general employees. In recent years, there has been a movement to extract the example behaviors of excellent sales employees and expand them to general employees in order to improve the sales skills of sales employees, mainly in the field of public relations.

  Model behavior of good sales employees is often extracted by investigating and comparing the behaviors of good employees and regular employees using interviews and field observations. However, investigators need to be highly skilled in interviews with sales employees who dislike disclosure of know-how, and to discover differences in behavior between excellent employees and general employees through field observations where the survey target and survey period are limited. As a result, the shortage of investigators and the accompanying deterioration in the quality of the surveys are a problem. As one of the solutions to this problem, it is effective to grasp the behavioral characteristics of employees in advance using a business system log and to use it for surveys for behavior using a business system.

  Japanese Patent No. 4897650 (Patent Document 1) discloses a technique for presenting a difference in behavior between an excellent employee and a general employee using a business system log. In this patent, “From the operation history of the model worker's operation terminal, the business administrator selects one or more operations, sets it as a mandatory procedure, compares the set mandatory procedure with the operation history of a general worker, There is a description of “notifying the outside of operations included in the essential procedure that are not executed with a probability of a predetermined value or higher and operations with a probability of a predetermined value or higher”.

Patent No. 4897650

  In Patent Document 1, as a difference in behavior between a good employee and a general employee, one or more operations selected as an essential procedure by a business manager from an operation history of a business system (operation terminal) of a good employee (exemplary worker) The operations with a low execution probability of general employees (general workers) and operations with different execution orders are extracted and presented. Therefore, there is a problem that an operation that is performed by a general employee but not performed by a good employee is not presented as a difference in behavior between the good employee and the general employee.

  Also, in Patent Document 1, there is a difference in the achievement results of business goals such as sales and the number of contracts between excellent employees and general employees. However, if the same operations are performed by a good employee and a general employee, There is a problem that it is considered that there is no difference in behavior.

Therefore, in the present invention, not only in a business system in a company but also in a system operated by various terminal operators in general society such as schools and hospitals, it is used for operation differences among terminal operators and when operating. The object is to provide a technique for analyzing and displaying the difference in data regarding the progress status and results of data and operations, etc., and analyzing the behavior of the operator.
For example, when this is applied to a business system in a company, the difference between operations performed by a good employee and a general employee using the business system using the business system operation log and business data created by each operation, In addition, an object is to provide a technique for presenting the difference in data used in the performed operation.

In order to solve the above problems, one of the representative behavior characteristic analysis apparatuses of the present invention is:
An operation log storage unit for storing a terminal operation history by the terminal operator;
A data storage unit for storing data used by the terminal operator when operating the terminal;
Based on at least the information of the operation log storage unit and the data storage unit, the operation unit that extracts the content of the terminal operation by the terminal operator, the operation execution order, and the data used in the terminal operation,
It is characterized by comprising an output unit for displaying the contents of the terminal operation by the terminal operator, the execution order of the terminal operation, and the data used in the terminal operation in a form that can be compared for each terminal operator.

In order to solve the above problem, one of the representative behavior characteristic analysis systems of the present invention is:
Server,
A behavior analysis characteristic analysis system for providing behavior characteristic analysis to a client terminal connected to a server,
The server includes an operation log storage unit that stores a history of terminal operations by the terminal operator,
A data storage unit for storing data used when the terminal operator operates the terminal; and
Based on at least the information of the operation log storage unit and the data storage unit, the content of the terminal operation by the terminal operator, the execution order of the terminal operation and a calculation unit for extracting the data used in the terminal operation,
The client terminal includes a storage unit shared by the server and the client terminal, and
It is characterized by comprising an output unit for displaying the contents of the terminal operation by the terminal operator extracted in the server, the execution order of the terminal operation and the data used in the terminal operation in a form that can be compared for each terminal operator. .

According to the present invention, as a difference in behavior between terminal operators in an arbitrary system involving terminal operation, a terminal operation performed by a certain terminal operator but not performed by another terminal operator, a terminal by a terminal operator It is possible to present the difference in operation and the difference in data used in the terminal operation. And, for example, an investigator who conducts behavioral surveys of sales employees gains high skills by conducting interviews and on-site observations after grasping in advance the differences between terminal operations and usage data by sales employees presented by the present invention. Researchers who do not have can easily detect differences in behavior between good employees and general employees, and can improve the shortage of investigators and the resulting deterioration in the quality of surveys.
Problems, configurations, and effects other than those described above will be clarified by the following description of embodiments.

The figure which shows the structural example of the action characteristic analyzer of this embodiment. The figure which shows the structural example of the action characteristic analysis system of this embodiment. The figure which shows the data structural example of the operation log memory | storage part of this embodiment. The figure which shows the data structural example of the business data memory | storage part of this embodiment. The figure which shows the data structural example of the user information storage part of this embodiment. The figure which shows the example of a processing flow of the business flow extraction part in the action characteristic analysis method of this embodiment. The figure which shows the example of a data structure of the operation information storage part which shows the break of the work of this embodiment. The figure which shows the example of a data structure of the operation information storage part which shows the turn of the round of the negotiation of this embodiment. The figure which shows the data structural example of the analysis object operation log memory | storage part of this embodiment. The figure which shows the data structural example of the analysis object work data storage part of this embodiment. The figure which shows the data structural example of the utilization data storage part of each operation of this embodiment. The figure which shows the data structural example of the fixed rate total storage part of this embodiment. The figure which shows the data structural example of the fixed rate total storage part (by item) of this embodiment. The figure which shows the example of a processing flow of the work flow display part in the action characteristic analysis method of this embodiment. The figure which shows the data structural example of the operation arrangement | positioning information storage part of this embodiment. The figure which shows the data structural example of the arrow information storage part of this embodiment. The figure which shows the business flow display image which the business flow display part of this embodiment displays. The figure which shows the example of a processing flow of the work flow comparison part in the action characteristic analysis method of this embodiment. The figure which shows the business flow highlight display image (1) which the business flow comparison part of this embodiment displays. The figure which shows the business flow highlight display image (2) which the business flow comparison part of this embodiment displays. The figure which shows the business flow highlight display image (3) which the business flow comparison part of this embodiment displays.

Embodiments of the present invention will be described below in detail with reference to the drawings.
In the present embodiment, an external business that repeats a business negotiation (negotiation) with a customer for closing a financial product performed using a business system in a company will be described as an example.
However, the present invention is not limited to business systems in companies, but can be applied to systems operated by various terminal operators in general society such as schools and hospitals. Applicable to business.
Therefore, the “terminal operator” in the present invention is not limited to excellent employees and general employees in the following embodiments, but includes all persons who operate the terminals of the various systems described above.
In the present invention, “data used in operation” refers to data referred to during terminal operation, data presented during negotiation, data created by the terminal operator, preconditions and results of simulation, etc. Contains all data associated with the operation. Also included in the “data used for operation” is data that has been secondarily processed, such as combinations of data, typical examples, number of types of data values, fixed values of values, and usage rate of values. It is.
In addition, the “data storage unit” in the present invention is not limited to the business data storage unit in the following embodiments, and means a place for storing data used in the operation of the terminal.
In addition, “negotiation” in the present invention is not limited to business negotiations with customers in the present embodiment, but interviews / meetings with supervisors / related parties in the company, teachers / instructors / students / meetings, doctors / patients interviews All kinds of communication (negotiation) performed using the terminal operation log at least once such as communication between terminal operators is included.
For this reason, in the present invention, the “negotiation stage” can be understood as indicating various stages of communication including “circulation of negotiations” in the present embodiment.
In addition, the “business flow” in the present invention is not limited to the business flow related to the financial product in the present embodiment, but includes all procedures and flow of actions to be performed to achieve the purpose and goal using the various systems described above. means.
Therefore, the behavior characteristic analysis apparatus and behavior characteristic analysis system of the present invention basically includes three types of contents of terminal operations performed by the terminal operator, execution order of terminal operations, and data used in each terminal operation. Although it is composed of elements, other elements may be added depending on various system situations.

(Equipment configuration)
FIG. 1 is a diagram illustrating a configuration example of the behavior characteristic analysis apparatus 100 according to the present embodiment. The behavior characteristic analysis apparatus 100 shown in FIG. 1 is implemented by a good employee and a general employee who are one form of a terminal operator using a business system, using a business system operation log and business data created by each operation. It is an information processing terminal such as a personal computer or a tablet terminal that can present a difference in operation and a difference in data used in the performed operation.

  In addition, the behavior characteristic analysis apparatus 100 determines, for each terminal operator such as a good employee and a general employee, the difference in the operation performed and the difference in the data used, the content of the performed terminal operation, the execution order of the terminal operation, It is also possible to present in the form of a business flow composed of three elements of data used in each terminal operation. This makes it easier for the analyst to visually grasp the difference in behavior for each terminal operator such as a good employee and a general employee.

  The behavior characteristic analysis apparatus 100 as described above includes a storage unit 101 composed of an appropriate nonvolatile storage element such as an SSD (Solid State Drive) or a hard disk drive, a memory 103 composed of a volatile storage element such as a RAM, and a storage unit 101. The program stored in the memory 103 is read and executed, for example, to perform overall control of the apparatus itself, and perform various determinations, calculations, and control processes. An input unit 105 and an output unit 106 such as a display for displaying processing data are provided.

  In addition, in the storage unit 101, at least various storage units 121 to 132 are stored in addition to a program for implementing a function (110, 111, 112) required by the arithmetic unit as the behavior characteristic analysis device 100. Details of the storage units 121 to 132 will be described later.

Note that the program stored in the storage unit may be stored in advance in the behavior characteristic analysis apparatus 100, or stored in another information processing terminal such as a server machine, and downloaded by the analyst. It is good also as a form to utilize.
Further, as shown in FIG. 2, the whole may be configured as a behavior characteristic analysis system including a server machine 500 and a client terminal 400. For example, the analyzer may connect to a server machine from a client terminal such as a personal computer or a tablet terminal by using a remote connection function, for example, and execute an action characteristic analysis execution instruction or an analysis result browsing.
In this case, which function is allocated to the server machine and the client terminal is not limited to the above example, and may be appropriately changed.

(Data structure)
Next, a data configuration example in the storage unit used by the behavior characteristic analysis apparatus 100 of the present embodiment in FIG. 1 will be described. Here, among the storage units held by the behavior characteristic analysis apparatus 100, the operation log storage unit 121, the business data storage unit 122, and the user information storage unit 123 will be described. The other storage units 124 to 132 will be described along with the explanation of the processing flow example.
Note that even in the case of the behavior characteristic analysis system including the server machine and the client terminal in FIG. 2, the contents of the individual storage units are the same as those in FIG. Description of the parts to be performed is omitted.

  FIG. 3 is a diagram illustrating a data configuration example of the operation log storage unit 121 according to the present embodiment. The operation log storage unit 121 in this embodiment is a table that stores a history of operations performed by each employee using each function and screen provided by the business system. Normally, the behavior characteristic analysis apparatus 100 acquires such data from the business system in a lump and stores it in the apparatus. The specific configuration of the table includes an operation ID for uniquely identifying each operation, an employee ID of the employee who performed the operation, an execution date and time of the operation, and a customer ID indicating the customer who performed the operation. It is a collection of associated records, and is a terminal operation history for each terminal operator during a predetermined period.

FIG. 4 is a diagram illustrating a data configuration example of the business data storage unit 122 of the present embodiment. The business data storage unit 122 in this embodiment is a table that stores data created by each employee during operation when the employee who is the terminal operator operates the business system, that is, data associated with the terminal operation. is there. Normally, the behavior characteristic analysis apparatus 100 acquires and stores from the business system all at once.
In the present embodiment, the business data storage unit 122 holds each operation ID that uniquely identifies the operation performed by the employee. Specifically, for an operation related to a specific operation ID, an employee ID that uniquely identifies the employee who performed the operation, a creation date and time when the operation data was created by performing the operation, and a customer indicating the customer who created the business data This is an aggregate of records in which each value of the ID and the data item name and value of the data item (one or more) constituting the created business data is associated. Normally, the data items constituting the business data and the number thereof differ for each operation (operation ID) for creating the business data. The example of FIG. 4 shows business data related to the “yield Sim” operation in the operation ID of FIG. 3, and business data created by the “yield Sim” operation has two data items “target yield” and “data 1”. ".

  In this embodiment, the business data storage unit 122 is described as being held individually for each operation performed by the employee. However, which employee performs which operation and what value is used for which data item. As long as it can be held so that it can be identified, it may be held by any method.

  FIG. 5 is a diagram illustrating a data configuration example of the user information storage unit 123 of the present embodiment. The user information storage unit 123 in the present embodiment is a table that defines the types of employees (terminal operators) that are analysis target persons of behavior characteristic analysis. Specifically, it is an aggregate of records in which an employee ID that uniquely identifies each employee is associated with each value of the employee type of the employee. For the employee type, for example, “excellent” is set for an excellent employee who has an excellent achievement rate of the contract target according to the excellence of the employee's business performance. "Is set. Of course, the setting policy for the excellence of the business results of each employee may be appropriately determined according to the KPI of the business to be analyzed.

  Further, it may not be set based on the excellence of the business results, and for example, “excellent” or “general” may be set according to the working years, the place of work, the employment form (such as regular employees and part). In the present embodiment, it is described that “excellent” indicating a good employee or “general” indicating a general employee is set as the value of the employee type, but another value may be set.

(Function of behavioral characteristic analysis)
Then, the function with which the action characteristic analyzer 100 of this embodiment is provided is demonstrated. As described above, the functions described below can be said to be functions that are processed in the calculation unit by executing a program included in the behavior characteristic analysis apparatus 100, for example.

  In this case, the behavior characteristic analysis apparatus 100 is configured so that each employee has an operation log from the operation log stored in the operation log storage unit 121 of the storage unit 101 to an operation indicating a work break designated by the analyst. The operation flow executed by each customer is extracted, the operation information storage unit 125 indicating the turn of the negotiation process is used to identify the transaction sequence in which each operation is performed, and the business data storage unit 122 The operation data created by each operation is obtained from each operation, and each operation carries out usage data (data indicating how each data item constituting the business data created by each operation is used) of each operation of excellent employees and general employees It has a function to calculate by the number of times of the negotiated negotiations. This function is realized by the business flow extraction unit 110 illustrated in FIG.

  Further, the behavior characteristic analysis apparatus 100 determines the contents of the terminal operations performed by the excellent employees and the general employees and the execution order of the terminal operations based on the operation flow extracted above and the usage data of each operation calculated above. It has a function to display a business flow composed of three elements of data used for each terminal operation in a line up and down along with the rounds of negotiations in which each operation was performed. This function is realized by the business flow display unit 111 illustrated in FIG.

  In addition, the behavior characteristic analysis apparatus 100 has a function of highlighting an arbitrary item among the data used in the terminal operation. Specifically, comparing the operations performed by excellent employees and general employees for each round of business negotiations, the order of execution, and the usage data of each operation, differences in the same round and changes due to rounds Is extracted, and the extracted difference is highlighted on the business flow displayed above. That is, this function is a function that indicates a difference in operation of the terminal operator, a difference in data accompanying the terminal operation, and a difference in change due to the progress of the negotiation stage for each negotiation stage. This function is realized by the business flow comparison unit 112 illustrated in FIG.

(Behavioral characteristic analysis procedure)
Hereinafter, the execution procedure of the behavior characteristic analysis in the present embodiment will be described with reference to the drawings. Various operations corresponding to the behavior characteristic analysis described below are realized by programs that the behavior characteristic analysis apparatus 100 reads out and executes in a memory or the like. And this program is comprised from the code | cord | chord for performing the various operation | movement demonstrated below.

First, processing in the business flow extraction unit 110 will be described with reference to the drawings.
FIG. 6 is a diagram illustrating an example of a processing flow of the business flow extraction unit 110 according to the present embodiment. FIG. 7 is a diagram illustrating a data configuration example of the operation information storage unit 124 indicating a break of work according to the present embodiment.
In the present embodiment, the operation information storage unit 124 that indicates a break of work is a table that defines an operation indicating that one work for each customer of each employee has been completed. In this case, this is regarded as an operation indicating that the proposal work for the product X is completed, and is registered before the analyst performs the behavior characteristic analysis. Specifically, one or more operation IDs for uniquely identifying operations indicating a break between tasks are registered. As shown in FIG. 7, a supplementary explanation for the operation ID may be added.

In the present embodiment, the operation indicating the break of work is described using an operation indicating that each product has been closed. However, an operation indicating that each product has been proposed but ended in an unsuccessful manner, or each product. However, if there is an operation indicating that the proposal has been canceled midway, these operation IDs may also be registered as operations indicating a break in business.
In addition, although it is not possible to specify a work break only by the operation ID, there may be a case where a work break can be specified by using the work data storage unit 122 and examining the value of each operation data item stored in the work data storage unit. Exists. For example, when daily report data created by daily report registration operation is stored in the business data storage unit, it is possible to extract / specify the proposed product and the proposed result from this daily report data using existing text mining technology. is there. In this case, after replacing the operation ID of the corresponding record in the operation log storage unit 121 (the record including the operation ID for which the proposed product and the proposed result can be specified) with data obtained by adding the proposed product and the proposed result to the operation ID. Thus, the data obtained by adding the proposed product and the proposal result to the operation ID may be registered in the operation information storage unit 124 indicating the break of work.

FIG. 8 is a diagram showing a data configuration example of the operation information storage unit 125 indicating the turn of the negotiation in the present embodiment. The operation information storage unit 125 indicating the turn of the negotiation in the present embodiment is a table that defines an operation that is performed when an employee makes a negotiation with a customer. For example, when an employee makes a negotiation with a customer, If the contact history is to be registered in the business system after the negotiation, the contact history registration operation is regarded as an operation indicating the second turn of the negotiation and is registered before the analyst performs the behavior characteristic analysis.
Specifically, one or more operation IDs that uniquely specify an operation indicating the turn of the negotiation are registered. In addition to the contact history registration operation, for example, when a mobile terminal is distributed to employees and a log of the mobile terminal attachment / detachment operation is recorded in the operation log storage unit 121, the mobile terminal attachment / detachment operation is changed at the turn of the negotiation. You may register as operation to show.

FIG. 9 is a diagram illustrating a data configuration example of the analysis target operation log storage unit 126 of the present embodiment. The analysis target operation log storage unit 126 according to the present exemplary embodiment is configured to display an operation flow performed by each employee for each customer up to the “operation indicating a work break” specified by the analyst as an analysis target. It is a table for storing a result extracted from the operation log storage unit 121 as one item flow to be subjected to characteristic analysis.
Specifically, the operation ID that uniquely identifies each operation, the employee ID of the employee who performed the operation, the execution date and time of the operation, the customer ID indicating the customer who performed the operation, and the matter flow that performed the operation This is a set of records in which the case ID uniquely identified, the round-trip information of the negotiation that executed the operation, and the values of the employee type of the employee who executed the operation are associated with each other.

  FIG. 10 is a diagram illustrating a data configuration example of the analysis target business data storage unit 127 of the present embodiment. The analysis target business data storage unit 127 according to the present embodiment performs an operation flow performed by each employee on each customer up to the “operation indicating a work break” designated by the analyst as an analysis target. This is a table that stores the result of aggregating business data created by each operation of each case flow as a subject flow subject to characteristic analysis in units of rounds of negotiations.

In the present embodiment, the analysis target business data storage unit 127 holds each operation ID uniquely indicating an operation performed by the employee. Specifically, for each operation, the case ID that uniquely identifies the case flow that performed the operation, the employee type of the employee who executed the case flow, the circulation information of the negotiation that performed the operation, and the This is a set of records in which values of data item names and combinations of values of one or more data items constituting business data created by performing the operation in a round are associated with each other.
At this time, if a certain operation is performed multiple times in the same time, and multiple types of values are used for a certain data item that constitutes business data (multiple) created by that operation, the value of that data item As a combination, a combination of used values (no duplication) is held. For example, when the operation A is performed three times for the first business negotiation and three values 10, 10, and 20 are used for the data 1 constituting the business data created by the operation A, the value of the data 1 is The combination is (10, 20).

  In this embodiment, the analysis target business data storage unit 127 is described as being held individually for each operation performed by the employee. However, which matter flow is executed which operation is executed in what number of times. Any method may be used as long as it can be stored so that it can be identified what value is set in the data item.

FIG. 11 is a diagram illustrating a data configuration example of the usage data storage unit 128 for each operation of the present embodiment. The usage data storage unit 128 of each operation in the present embodiment, for each operation performed by the excellent employee and the general employee for each round of negotiations, from the value of each data item constituting the business data created by the operation, It is a table for storing the results of calculating how each data item is used in the operation (value combination and usage rate, presence / absence of typical value, number of types of values and usage rate, value determination rate).
Specifically, the operation ID that uniquely identifies each operation, the employee type of the employee who performed the operation, the circulation information of the negotiation that performed the operation, and the business data created by the operation Four types of data indicating how the data item is used (data item name and value combination and usage rate, data item name and presence / absence of typical value, data item name and value type and usage rate, and data item name and It is a set of records in which each value of the value determination rate is associated.
The confirmation rate is data indicating, for example, the number of negotiations in which the value of a data item is often confirmed.

FIG. 12 is a diagram illustrating a data configuration example of the fixed rate total storage unit 129 of the present embodiment. The fixed rate total storage unit 129 according to the present embodiment is a totaling table for calculating a fixed rate of values of each data item constituting business data created by each excellent employee and general employee in each operation. To store the number of executions of each operation performed each time to create and the total number of cases where the value of the data item was determined when each operation was performed each time.
Specifically, the employee type of the employee who performed each operation, the circular information of the negotiation that performed the operation, the operation ID that uniquely identifies the operation, the data item name created by the operation, the time of the operation The number of executed cases at the next time (number of the case flow that executed that operation) and each value of the number of confirmed cases that indicates the number of data item names that were fixed when the operation was executed in that round It is a collection of associated records.

FIG. 13 is a diagram illustrating a data configuration example of the fixed rate total storage unit (for each case) 130 according to the present embodiment. The fixed rate total storage unit (by case) 130 according to the present embodiment is a totaling table for calculating the fixed rate of each data item value constituting the business data created by each excellent employee and general employee in each operation. For each item flow, the result of totaling what operation is performed each time and what value combination is used for which data item is stored.
Specifically, the employee type of the employee who performed each operation, the circulation information of the negotiation that performed the operation, the operation ID that uniquely identifies the operation, the data item name created by the operation, and the operation It is a collection of records in which the values of the combination of values used for the data item name at the time of execution are associated with each value.

(Processing of the business flow extraction unit)
Next, a flow performed by the business flow extraction unit 110 of the behavior characteristic analysis apparatus 100 will be described based on the processing flow example illustrated in FIG. First, the business flow extraction unit obtains designation of an operation indicating a work break to be subjected to behavior characteristic analysis from the analyst via the input unit 105 (s100).

  In step s100, the business flow extraction unit 110 acquires an operation ID indicating a break of the business to be analyzed designated by the analyst via the input unit 105, and appropriately selects the operation ID in the memory 103 or the storage unit 101 as the analysis target operation ID. Save to storage area. In addition, as a specific method of acquiring the analysis target operation ID, in addition to the method of acquiring via the input unit 105 as described above, file input via an appropriate interface, or other device via a communication device There is no particular limitation, such as accepting input via the WEB screen provided. Before the analyst designates an operation indicating a business break to be analyzed, the business flow extraction unit 110 presents the operation information storage unit 124 indicating a business break as a designation candidate via the output unit 106. May be.

  Following the above-described step s100, the business flow extraction unit 110 has performed each employee for each customer until the operation indicated by the analyst as the analysis target in step s100 is performed. The operation flow is regarded as one item flow and extracted from the operation log storage unit 121 (s110).

  In step s110, the business flow extraction unit 110 first sorts the records held in the operation log storage unit 121 in ascending order by execution date and time, sorts the sorting results by customer ID, and sorts the sorting results into employee IDs. To sort in ascending order.

  Next, the business flow extraction unit 110 sequentially extracts record groups having the same employee ID and the same customer ID value from the top record of the operation log storage unit 121 as the sorting result. The following processing is performed.

  In other words, the business flow extraction unit 110 divides the “extracted record group” using all “operation log IDs indicating work breaks” registered in the operation information storage unit 124 indicating work breaks. Next, the business flow extraction unit 110 identifies a record group including, as a final operation, an operation ID indicating a work break held as an analysis target operation ID from the divided record groups, and stores the analysis target operation log. Registered in the unit 126. At this time, using the employee ID of the specified record group as a key, the user information storage unit 123 is searched, the employee type of the employee ID is acquired, and the employee of the record group of the analysis target operation log storage unit 126 together with the specified record group Register to type. Of course, the employee ID, execution date, customer ID, and operation ID of each record in the specified record group are registered in the same data item of the record in the analysis target operation log storage unit 126.

  In the above process, when a record group including an operation ID indicating a work break held as an analysis target operation ID as a final operation is registered in the analysis target operation log storage unit 126, an operation log indicating the start of the business You may register after adding this record. Specifically, a record including the employee ID registered in the first record of the record group, each value of the execution date and customer ID, and an operation ID (for example, “Start”) indicating the start of work is generated. Add to the beginning of the record group. This makes it easier to visually grasp the difference in the order of operations performed by excellent employees and general employees immediately after the start of work (see FIG. 17).

After performing the above processing on all record groups that are sequentially extracted from the operation log storage unit 121 and have the same employee ID and the same customer ID, the business flow extraction unit 110 performs analysis. “1” is registered in the case ID of the first record in the operation log storage unit 126, and records are sequentially extracted from the second record in the analysis target operation log storage unit 126. It is determined whether or not the operation ID of “” matches the operation ID indicating the break of the business held as the analysis target operation ID. If they match, the item ID of “the previous record” is added to the item ID of “extracted record”. A value obtained by adding “1” to the value of the case ID is registered, and if they do not match, the same value as the case ID of “the previous record” is registered as the case ID of “extracted record”.
That is, in the data configuration example of the analysis target operation log storage unit in FIG. 9, the “item ID” is registered as “1” in the record immediately below the line in which each item name is described. In the next record, the operation ID of “previous record” is “Start”. This is an example of the data structure of the operation information storage unit indicating the work break in FIG. There is no match for the “operation ID shown”. For this reason, it is determined that this record is not a break of business, and the same value “1” as the case ID of “the previous record” is registered in the case ID.
When this operation is repeated, as shown in the middle of FIG. 9, in the record in which the “operation ID” is “Start”, the operation ID of “the previous record” becomes “product X contract”. In this case, since the operation ID “product X contract” matches the “operation ID indicating a work break” in FIG. 7, the case ID is “2” for this record. It becomes.

Subsequent to step s110 described above, the business flow extraction unit 110 performs an operation included in the operation flow for each operation flow extracted in step s110 using an operation indicating a turn of the negotiation. The round of the negotiation is specified (s120).
In step s120, the business flow extraction unit 110 sequentially extracts a record group for each case based on the value of the case ID from the first record in the analysis target operation log storage unit 126, and performs the following processing.

  That is, the business flow extraction unit 110 registers “1” in the circulation information of the first record of the extracted record group (for one case), sequentially extracts records from the second record, It is determined whether the operation ID of the “previous record” matches the “operation ID indicating the second turn” registered in the operation information storage unit 125 indicating the second turn of the negotiation. A value obtained by adding “1” to the value of the “previous record” circulation information is registered in the circulation information of “extracted record”. If they do not match, “1” is added to the circulation information of “extracted record”. Register the same value as the information of the previous record.

  Subsequent to step s120 described above, the business flow extraction unit 110 uses, for each excellent employee and general employee, operation data executed by each operation and business data created by each operation (use data for each operation (created by each operation). (Data indicating how each data item constituting the business data is used) is calculated for each round of negotiations in which each operation is performed. Specifically, for each data item constituting the business data created by each operation, the combination of values and their usage rate, the presence or absence of typical values, the number of types of values and their usage rates, and the value confirmation rate are calculated. (S130).

  In step s130, the business flow extraction unit 110 sequentially extracts a record group for each case based on the value of the case ID from the first record in the analysis target operation log storage unit 126, and performs the following processing.

  In other words, the business flow extraction unit 110 sequentially extracts records from the first record of the “extracted record group (for one case)”, and uses the operation ID of the “extracted record” to generate an analysis target. The business data storage unit 127 is specified, and in the records of the specified analysis target business data storage unit 127, the values of the case ID and the circular information are changed to the values of the case ID and the circular information of the “extracted record”. Determine whether there is a matching record.

  If there is no record that satisfies the condition in the above determination in the analysis target business data storage unit 127, the business flow extraction unit 110 adds the record to the analysis target business data storage unit 127. Specifically, the item ID, the circulation information, and the employee type value of the “extracted record” are registered in the item ID, the circulation information, and the employee type of the record in the analysis target business data storage unit 127. That is, this process creates a record for each piece of recurring information for all case IDs in the data configuration example of the analysis target business data storage unit in FIG.

  Further, using the operation ID of the “extracted record”, the business data storage unit 122 created by the operation ID is specified, and the record of the business data storage unit 122 is selected from the specified records of the business data storage unit 122. A record in which each value of the employee ID, creation date / time, and customer ID matches the value of the employee ID, execution date / time, and customer ID of the “extracted record” is acquired, and each data item name registered in the acquired record ( One or more values are registered in the same data item name of the record in the analysis target business data storage unit 127.

  On the other hand, when a record satisfying the above-described determination satisfies the analysis target business data storage unit 127, a value is added to each data item name of the record. Specifically, first, the operation data storage unit 122 created with the operation ID is identified using the operation ID of the “extracted record”, and the employee ID and the employee ID are identified from the identified records of the business data storage unit 122. A record in which each value of the creation date / time and the customer ID matches the value of the employee ID / execution date / time and the customer ID of the “extracted record” is acquired. Next, for each data item name (one or more) of the acquired record, the value registered in the acquired record is the value registered in the same data item name of the record in the analysis target business data storage unit 127. It is determined whether or not it is included in the combination. If it is not included, the value registered in the acquired record is combined with the value registered in the same data item name of the record in the analysis target business data storage unit 127. If it is included, do not add it.

  After performing the above-described processing on all the record groups sequentially extracted from the analysis target log storage unit 126 in units of projects, the business flow extraction unit 110 sequentially extracts records from the beginning of the analysis target log storage unit 126, The following processing is performed.

  In other words, the business flow extraction unit 110 includes, in the records of the usage data storage unit 128 of each operation, the employee type, recurring information, and operation ID whose values of the employee type, recurring information, and operation ID are “extracted records”. It is determined whether there is a record that matches each of the values. If there is no matching record, a record that includes the employee type, recurring information, and operation ID values of the “extracted record” is generated and If there is a matching record registered in the usage data storage unit 128, no processing is performed.

  After performing the above processing on all the records sequentially extracted from the analysis target log storage unit 126, the business flow extraction unit 110 displays the records held in the usage data storage unit 128 of each operation in ascending order by the repetitive information. Sort, and sort results by employee type in ascending order. Note that the operation IDs may be sorted in ascending order before sorting by the circulation information.

  Subsequently, the business flow extraction unit 110 sets values in the columns of “value combination and usage rate”, “typical value presence / absence”, and “value type number and usage rate” that constitute the usage data storage unit 128 of each operation. Are set, the records are sequentially extracted from the head of the usage data storage unit 128 for each operation, and the following processing is performed.

  That is, the business flow extraction unit 110 uses the operation ID of “extracted record” to identify the analysis target business data storage unit 127 created with the operation ID, and among the records of the specified analysis target business data storage unit 127 From this, a record group in which each value of the employee type and the circulation information matches each value of the employee type and the circulation information of the “extracted record” is acquired, and the identified analysis target business data storage unit 127 is configured. One data item name is sequentially selected from one or more “data item name” fields, and the following processing is performed.

  That is, the business flow extraction unit 110 firstly sets a range of the number of types of values set in advance from the combination of values of the data item name registered in each record of the “acquired record group”, for example, “one type”. Based on the three ranges of “2 to 3 types” and “4 types or more”, the number of types of values and the usage rate (the usage rate corresponds to the number of types of values in the total number of records in the “acquired records”) Calculated as a ratio of the number of records to be recorded) and registered in the “number of types of values and usage rate” of the “extracted records” together with the data item name.

  At this time, if the data item name of another data item, the number of types of values, and the usage rate are already registered in the “number of types of values and usage rate” of the “extracted record”, add them to it. sign up. In the example shown in FIG. 11, three ranges of “1 type”, “2-3 types (2 to 3 types)”, and “4 types (4 types or more)” are set in advance as the range of the number of types of values. , One data item is registered in 4 lines, specifically, the data item name in the 1st line, the range and usage rate of value combinations in the 2nd to 4th lines, and the usage rate This is an example of registration in parentheses. Of course, the data item name, the number of types of values, and the utilization rate may be registered in different notation formats.

  Next, the business flow extraction unit 110 calculates a list of value combinations and usage rates from combinations of values of the data item names registered in the respective records of the “acquired record group”. At this time, the usage rate is calculated as the ratio of the number of records holding the combination of the values to the total number of records in the “acquired record group”.

  Next, the business flow extraction unit 110 selects a combination of all values and usage rates from the list of value combinations and usage rates calculated in the above processing, or only a predetermined number from the highest usage rates, or Only those having a usage rate equal to or higher than a predetermined probability are selected and registered in the “value combination and usage rate” of the “extracted record” together with the data item name. At this time, if another combination of data item name and value and the usage rate are already registered in “value combination and usage rate” of “extracted record”, they are added and added.

  In the example shown in FIG. 11, only three data items having a high utilization rate are selected from a list of combinations of values of data item names and utilization rates, and one data item is registered in 4 lines. In this example, data item names are registered in the first line, and combinations of values and usage rates are registered in parentheses in the second to fourth rows in descending order of usage rates. Of course, the combination of the data item name and value and the utilization rate may be registered in another notation format.

  Next, the business flow extraction unit 110 determines whether there is a combination of values having a usage rate equal to or higher than a predetermined probability (for example, 80% or higher) in the list of combinations of values and usage rates calculated in the above processing. If there is a combination of values with a rate greater than or equal to the predetermined probability, it is assumed that there is a typical value, and data indicating that there is a typical value as “data indicating the presence or absence of a typical value” (for example, “present”) If it is registered in “Existence of typical value” of “Extracted record” together with the data item name, and there is no combination of values whose usage rate is more than the predetermined probability, the typical value as “Data indicating presence / absence of typical value” Data indicating that there is no data (for example, “none”) is registered in “existence of typical value” of “extracted record” together with the data item name.

  At this time, if another data item name and “data indicating presence / absence of typical value” are already registered in “existence / absence of typical value” of “extracted record”, they are registered in the form of addition to it. In the example shown in FIG. 11, one data item is registered in one line using “present” and “none” as “data indicating presence / absence of typical value”, specifically, the data item name and “typical value”. This is an example in which “data indicating the presence or absence” is registered by delimiting with “: (colon)”. Of course, the data item name and “data indicating presence / absence of typical value” may be registered in different notation formats.

  After performing the above-described processing for all the records extracted from the usage data storage unit 128 for each operation, the business flow extraction unit 110 displays the “value confirmation rate” column that configures the usage data storage unit 128 for each operation. In order to set a value, first, an analysis target business data storage unit 127 created with one operation ID from among the analysis target business data storage units 127 (existing for the number of operation IDs) created with each operation ID. Are sequentially extracted and the following processing is performed.

  In other words, the business flow extraction unit 110 sequentially extracts records from the extracted analysis target business data storage unit 127, and extracts for each “data item name” column (one or more) constituting the extracted analysis target business data storage unit 127. Generated record (one or more) including the operation ID for creating the analyzed business data storage unit 127, the employee type and circulation information of the “extracted record”, and the data item name, and the generated record Is present in the fixed rate total storage unit 129, and if it does not exist, “1” is set to the number of implementation cases of the record and registered in the final rate total storage unit 129. Add “1” to the value of the number of projects executed.

  After performing the above processing on all the analysis target business data storage units 127 (the number of operation IDs exists), the business flow extraction unit 110 reads the case IDs from the top record of the analysis target operation log storage unit 126. Based on the values, record groups are sequentially extracted for each project, and the following processing is performed.

  That is, the business flow extraction unit 110 first extracts records sequentially from the first record of the “extracted record group (for one case)”, and creates the operation ID using the operation ID of the “extracted record”. The analysis target business data storage unit 127 is specified, and the item ID and each item of the circular information in which the values of the case ID and the circular information are “extracted records” among the records of the specified analysis target business data storage unit 127. Identify records that match the value. Next, for each “data item name” field (one or more) constituting the specified analysis target business data storage unit 127, an operation ID of “extracted record”, and a case ID and a round of “identified record” A record (one or more) including a combination of the information, the data item name, and the value of the data item name of “identified record” is generated and registered in the fixed rate total storage unit (by case) 130.

  Next, the business flow extracting unit 110 sorts the records held by the fixed rate total storage unit (by case) 130 in descending order by the circulation information, and sorts the sorting result by the data item name in ascending order. A record group having the same data item name is sequentially extracted from the first record of the fixed rate total storage unit (by case) 130, and the following processing is performed.

  That is, the business flow extraction unit 110 acquires the value of the circular information of the first record of the “extracted record group (for one data item name)” as the maximum value “M” (M is a natural number) of the circular information, A record group in which the value of the circular information is “M” is extracted, and it is determined whether “one same value” is registered in “value combination” of all the records in the extracted record group. If "value" is not registered, nothing is processed.

  On the other hand, when “one same value” is registered, first, the value is acquired as the determined value “N” of the data item name. Next, “1” is subtracted from “M” (step 1), a record group in which the value of the circular information is “M” is extracted (step 2), and “value combinations” of all the records in the extracted record group are extracted. “N” is registered in “3” to determine whether “N” is registered (step 3) until “M” becomes “0” or in the record group extracted in step 3. Repeat until a record in which a value other than “N” is registered in “Value Combination” appears. Finally, records with the circulation information of “M + 1” or more are sequentially extracted from the “extracted record group (for one data item name)”, and each of the employee type, the circulation information, the operation ID, and the data item name of the extracted record is extracted. A record having a matching value is specified from the fixed rate total storage unit 129, and “1” is added to the value of the number of fixed cases of the specified record.

  After performing the above processing on all the record groups having the same value of the data item names sequentially extracted from the fixed rate total storage unit (by case) 130, the business flow extraction unit 110 executes the fixed rate total storage unit (case) Another) Delete all 130 records.

  After performing the above-described processing for all record groups sequentially extracted from the analysis target operation log storage unit 126 in units of projects, the business flow extraction unit 110 sequentially records records from the beginning of the usage data storage unit 128 of each operation. Extract and execute the following process.

  In other words, the business flow extraction unit 110 selects each of the employee type, the circulation information, and the operation ID from the records of the fixed rate total storage unit 129 where the employee type, the circulation information, and the operation ID are “extracted records”. The record group that matches the value is acquired, and for each acquired record, the fixed rate is calculated from the number of fixed cases registered in the record and the number of executed cases (the fixed rate is calculated as the ratio of the number of fixed cases to the number of executed cases) ) And is registered in the “value confirmation rate” of the “extracted record” together with the data item name registered in the record. At this time, if another data item name and a fixed rate are already registered in the “value fixed rate” of the “extracted record”, the data item name and the fixed rate are added and registered. The example shown in FIG. 11 is an example in which one data item is registered in one line, specifically, a data item name and a confirmation rate are registered by being separated by “: (colon)”. Of course, the data item name and the confirmation rate may be registered in different notation formats.

(Processing in the business flow display section)
Next, processing in the business flow display unit 111 will be described with reference to the drawings.
FIG. 14 is a diagram illustrating a processing flow example of the business flow display unit 111 according to the present embodiment.
FIG. 15 is a diagram illustrating a data configuration example of the operation arrangement information storage unit 131 of the present embodiment. The operation arrangement information storage unit 131 in the present embodiment is a table that stores the result of calculating the arrangement information of each operation performed by a good employee and a general employee.
Specifically, the employee type of the employee who performed each operation, the circulation information of the negotiation that performed the operation, the operation ID that uniquely identifies the operation, the X coordinate indicating the vertical position of the operation, the horizontal of the operation This is a set of records in which the respective values of the Y coordinate indicating the position, the information indicating whether or not the operation is performed, and the circular information (first execution) indicating the first time that the operation is performed are associated with each other. Here, the execution information is information indicating that only one excellent employee or general employee has performed the operation. For example, only one excellent employee or general employee has performed the operation. In this case, “1” is registered. If both are performed, nothing is registered (of course, another value may be registered).

FIG. 16 is a diagram illustrating a data configuration example of the arrow information storage unit 132 according to the present embodiment. The arrow information storage unit 132 in the present embodiment is a table that stores information indicating the execution order (arrows) between operations performed by excellent employees and general employees.
Specifically, the employee type of the employee who performed the connection source operation and the connection destination operation, the operation ID of the connection source operation, the circulation information of the negotiation that performed the connection source operation, the operation ID of the connection destination operation, and the connection destination operation Each information of the rounded information of the executed negotiations, the number of execution cases of the connection source operation and connection destination operation pair (number of matter flows that executed the pair), and the execution status information of the connection source operation and connection destination operation pair It is a collection of records with associated values.
Here, the implementation information is information indicating that only one of the excellent employee and the general employee has implemented the pair. For example, only one of the excellent employee and the general employee has performed the pair. In this case, “1” is registered. If both are performed, nothing is registered (of course, another value may be registered).

  FIG. 17 is a diagram illustrating a business flow display image 1000 displayed by the business flow display unit 111 according to the present embodiment. The business flow display image 1000 in this embodiment includes an operation object 1010, an arrow object 1020 indicating the operation execution order, and data used in each operation (use of each data item constituting the business data created in each operation). Data object 1030 indicating data), employee type lane 1040 indicating the lane (flow horizontal frame) of excellent employees and general employees, and lane (flow vertical frame) indicating each round of negotiation (negotiation stage) ), Which is a negotiation stage lane 1050.

For example, the operation object 1010 is drawn using a square object, the arrow object 1020 is drawn using an arrow connecting the operation objects 1010, and the data object 1030 is a corresponding operation ( The operation object 1010 indicating the operation that created the data) is associated with a dotted line and drawn.
Of course, the data object 1030 may be drawn using another object, such as drawing using a balloon object.
In FIG. 17, a combination of data item names and values of one or more data items constituting business data created by each operation in the data object 1030 (combination of values used for the data items in each round of negotiations). An example of the usage rate is illustrated.

  Based on the processing flow example illustrated in FIG. 14, the business flow display unit 111 of the behavior characteristic analysis apparatus 100 first calculates an arrangement position (X coordinate and Y coordinate) of each operation performed by a good employee and a general employee. At this time, the operations are arranged in ascending order of the rounds of negotiations in which the operations are performed, and when the same operations are performed a plurality of times in the same round of one operation flow, they are arranged as one operation. In addition, the operation indicating the turn of the negotiation registered in the operation information storage unit 125 indicating the turn of the turn of the negotiation is arranged at the end of each turn, and the excellent employee and the general Arrangement information of each operation is calculated (s200) so that operations indicating the turn of the negotiations performed by the employee in the same round are arranged at the same vertical position (X coordinate).

In step s200, the business flow display unit 111 first extracts records sequentially from the top of the usage data storage unit 128 of each operation generated in step s130, and the employee type, recurring information, and operation ID of the “extracted record”. Is generated and registered in the operation arrangement information storage unit 131.
Of course, the employee type, circulation information, and operation ID of the “extracted record” are registered in the same data item of the operation arrangement information storage unit 131.

  Next, the business flow display unit 111 executes assignment of the X coordinate and the Y coordinate to each operation ID registered in the operation arrangement information storage unit 131. Specifically, a record group having the same value of the circular information is sequentially extracted from the operation arrangement information storage unit 131 in ascending order of the value of the circular information (the value of the circular information is “1” in the first process). In the N-th process, the record information whose extraction information is “N (N is a natural number)” is extracted), and the X coordinate and Y for the “extracted record group (1st order)” Assign coordinates.

  In assigning the X coordinate, the workflow display unit 111 sets an X coordinate arrangement area based on the “extracted record group (first time)”, for example, the operation ID included in the “extracted record group”. After calculating the number of types and setting an area where the calculated number of types of operations can be arranged in a horizontal row at equal intervals (of course, other algorithms may be used), “Operation information indicating the turn of the negotiation A record in which “operation ID indicating the second turn” registered in the storage unit 125 is registered in the operation ID (both records in which “excellent” and “general” are registered in the employee type, or X coordinate is assigned so that it is arranged on the rightmost side of the set X coordinate arrangement area. For records in which other operation IDs are registered, for example, for each record group in which “excellent” and “general” are registered as employee types, they are equally spaced horizontally in the order of registration in the operation arrangement information storage unit 131. X coordinates are assigned so as to be arranged in (Also of course, other algorithms may be used).

  In the record group in which operation IDs other than “operation ID indicating the turn of the turn” are registered, the value of the employee type is different between “excellent” and “general”. If there are records in which the same value is registered, the same X coordinate may be set for these records. As a result, when the excellent employee and the general employee perform the same operation in the same round, the vertical positions of the operations are aligned, so that the difference in the performed operation can be easily grasped visually.

In assigning the Y-coordinate, the workflow display unit 111 registers the “extracted record group (first time)”, the record group in which “excellent” is registered as the employee type, and “general” as the employee type. The Y coordinate of each record group is set so as not to overlap, and the Y coordinate of each record is assigned so that it is arranged in the set Y coordinate arrangement region. .
For example, when setting an arrangement area in which operations performed in the same round as described above can be arranged at equal intervals in the horizontal direction as the arrangement area of the X coordinate, a record group in which “excellent” is registered as the employee type In the Y coordinate arrangement area of each record group in which “general” is registered as the employee type, an arrangement area where one operation can be arranged is set so as not to overlap (of course, other algorithms may be used) ).

  It should be noted that the Y coordinate arrangement area set in the record group with the circulation information “1” is also used when assigning the Y coordinate to the subsequent record group. If, when assigning the Y coordinate of a certain record group, the placement area cannot be placed in the placement area of the Y coordinate set in the record group with the turn information “1”, the placement is corrected. All the previous Y-coordinates of the records are reassigned based on the modified Y-coordinate arrangement area.

Subsequent to step s200 described above, the workflow display unit 111 sets arrow information (operation execution order information) (s210).
In step s210, the business flow display unit 111 sequentially extracts a record group for each case ID from the top of the analysis target operation log storage unit 126, and executes the following processing.

In other words, the workflow display unit 111 sorts the records of the “extracted record group (for one case)” in order from the earliest execution date, and sequentially extracts the connection source record and the connection destination record from the top record, The following processing is executed.
In this case, for example, in the first processing, the first record from the top is the connection source record, and the second record is the connection destination record. In the second process, the second record is the connection source record, and the third record is the connection destination record.

  That is, the business flow display unit 111 matches the employee type of the record of the arrow information storage unit 132 with the employee type of the “extracted connection source record” in the record of the arrow information storage unit 132 and the connection source operation. The operation ID and the circulation information match the operation ID and the circulation information of the “extracted connection source record”, respectively, and the operation ID and the circulation information of the connection destination operation are the operation ID of the “extracted connection destination record”. It is determined whether there is a record that matches each of the round information.

When the record that satisfies the condition in the above determination does not exist in the arrow information storage unit 132, the business flow display unit 111 displays the employee type, operation ID, circulation information, and “extracted connection” of the “extracted connection source record”. A record including the operation ID of the “destination record” and the circulation information is generated and registered in the arrow information storage unit 132. Of course, the employee type, operation ID, and circulation information of the “extracted connection source record” and the operation ID and circulation information of the “extracted connection destination record” are registered in the same data item of the arrow information storage unit 132. The Rukoto. Furthermore, “1” is registered as the number of execution cases of the record, and the value of the case ID of “extracted connection source record” is registered in the execution presence / absence information of the record.
The implementation information of the arrow information storage unit 132 is a data item column for registering information indicating that the arrow is implemented by only one of the excellent employee or the general employee. It is also used temporarily to calculate the number. Of course, another data item column for calculating the number of cases may be added to the arrow information storage unit 132.

On the other hand, if there is a record that satisfies the above condition in the arrow information storage unit 132, the workflow display unit 111 indicates that the case ID registered in the implementation information of the record is “extracted connection source record”. It is determined whether or not it matches the case ID. If they do not match, “1” is added to the value of the number of cases executed in the record, and if they match, it is not added.
That is, it counts the number of case flows that executed the arrow, not the number of executed arrows indicated by the record.

  After the above processing is performed on all “extracted connection source records” and “extracted connection destination records” included in all “extracted record groups (for one case)”, the business flow display unit 111 Clears the value of the presence / absence of execution of all records in the arrow information storage unit 132.

  Subsequent to step s210 described above, the business flow display unit 111 displays the business flow of excellent employees and general employees (a flow composed of three elements of operations performed, execution order (arrows), and usage data of each operation). Display is performed (s220).

  In order to display the business flow display image 1000 shown in FIG. 17, the business flow display unit 111 in step s220 first displays the operation ID registered in each record for all the records in the operation arrangement information storage unit 131. An operation object 1010 having a label is generated and rendered via the output unit 106 in accordance with the X and Y coordinates stored in the record.

  Note that, as in the example illustrated in FIG. 17, the operation object 1010 of “operation ID indicating the second turn” registered in the operation information storage unit 125 indicating the second turn of the negotiation is another operation object 1010. You may draw using a different object (triangular object in the example shown in FIG. 17). The label of the operation object 1010 may be drawn after being converted into a value that can identify that the negotiation such as “negotiation” is performed, instead of the operation ID.

  Next, the business flow display unit 111 targets all records in the arrow information storage unit 132 using the employee type registered in each record, the operation ID of the connection source operation, and the circulation information of the connection source operation. The operation arrangement information storage unit 131 is searched to acquire the X and Y coordinates of the connection source operation to identify the operation object 1010 of the connection source operation, and the employee type and the operation ID of the connection destination operation registered in the record. The operation arrangement information storage unit 131 is searched using the circulation information of the connection destination operation, the X coordinate and the Y coordinate of the connection destination operation are acquired, the operation object 1010 of the connection destination operation is specified, and the specified connection source operation is identified. A drawing process for connecting the operation object 1010 to the connection destination operation object 1010 using the arrow object 1020 is performed.

  Next, the business flow display unit 111 searches the operation arrangement information storage unit 131 for all the records in the usage data storage unit 128 of each operation using the employee type, circulation information, and operation ID registered in each record. Then, the X coordinate and the Y coordinate of the operation that created the data registered in the record are acquired, the operation object 1010 drawn according to the acquired X coordinate and the Y coordinate is specified, and the operation object 1010 is associated with the specified operation object 1010 To generate a data object 1030 labeled “value combination and usage rate”, “presence / absence of typical value”, “value type and usage rate”, or “value confirmation rate” registered in the record. Then, drawing is performed via the output unit 106. The arrangement position of the data object 1030 is not limited, for example, it is arranged at a position directly below the operation object 1010 to be associated.

  The data used for the label of the data object 1030 (value combination and usage rate, presence / absence of typical value, number of types of values and usage rate, or value determination rate) is an analysis that performs behavioral characteristic analysis. Before the analysis is performed or during the analysis (the timing is not limited as long as it is before step s220), the file is input through an appropriate interface or acquired through the input unit 105. Of course, other acquisition methods may be used.

  Finally, the business flow display unit 111 generates, as the employee type lane 1040, the excellent employee lane and the general employee lane by setting the information registered in the user information storage unit 123 as a label, and the output unit 106. Draw through. Further, as the negotiation stage lane 1050, for example, when the circulation information is “1”, a label (of course, not limited to this) such as “negotiation (first time)” is set. The generated lane is generated every time and is drawn via the output unit 106.

(Processing of the business flow comparison unit)
Next, processing in the business flow comparison unit 112 will be described with reference to the drawings.
FIG. 18 is a diagram illustrating an example of a processing flow of the business flow comparison unit 112 according to the present embodiment.
Based on the processing flow example shown in FIG. 18, the business flow comparison unit 112 of the behavior characteristic analysis apparatus 100 first compares the operations performed by the excellent employee and the general employee for each business negotiation, And differences in changes due to successive transitions are extracted (s300).

  In step s300, the workflow comparison unit 112 sequentially extracts records having the same value from the operation arrangement information storage unit 131 in the order of smaller pieces of the round information (the value of the round information in the first process). The record group with “1” is extracted, and then the Nth process extracts the record group with the repetitive information “N (N is a natural number)”, and the following process is performed.

  In other words, the business flow comparison unit 112 first classifies the “extracted record group (first time)” into a record group with the employee type “excellent” and a record group with the employee type “general”. Next, for each record in the record group with the employee type “excellent”, it is determined whether there is a record in which the same operation ID as the operation ID of the record exists in the record group with the employee type “general”. If it does not exist, “1” is registered as information indicating that only one excellent employee or general employee has performed in the execution information of the record, and if it exists, nothing is registered. May be registered).

Next, for each record in the record group with the employee type “general”, it is determined whether there is a record in which the same operation ID as the operation ID of the record exists in the record group with the employee type “excellent”. If it does not exist, “1” is registered as information indicating that only one excellent employee or general employee has performed in the execution information of the record, and if it exists, nothing is registered. May be registered).
As a result, it is possible to extract the difference between the operations performed by the excellent employee and the general employees in the same iteration as the differences in the operations performed in the same iteration.

After performing the above processing for all the “extracted record groups (one time)”, the workflow comparison unit 112 records that the employee type is “excellent” from the operation arrangement information storage unit 131. The group is extracted, and for each record in the record group with the recurring information “1” in the “extracted record group (record group whose employee type is“ excellent ”), the recurring information of the record (first time implementation) ) Is registered as “1”.
In addition, for each record in the record group whose circulation information is “2” or more, from the first record of the “extracted record group (record group with the employee type“ excellent ”)” to the “record immediately before that record” It is determined whether or not there is a record in which the same operation ID as the operation ID of the record exists in the record group up to and if not, the value of the circulation information of the record is set as the circulation information of the record. Register for (first time implementation) and do not register if it exists.

  Next, the business flow comparison unit 112 performs the same process as described above for the record group whose employee type in the operation arrangement information storage unit 131 is “general”. As a result, the difference in the changes in the operations performed due to the changes in the operations, the difference between the operations (one or more) performed by each excellent employee and general employee for the first time in each operation, It is possible to extract differences (four classifications in which general employees perform earlier, later, the same, or only one of excellent employees and general employees implements).

Subsequent to step s300 described above, the workflow comparison unit 112 compares the execution order of operations performed by the excellent employee and the general employee for each round of business negotiations, and extracts differences in the same round (s310). ).
In step s310, the business flow comparison unit 112 sequentially extracts record groups having the same value of the circular information in ascending order of the circular information from the arrow information storage unit 132 (the value of the circular information is determined in the first process). The record group of “1” is extracted, and then the Nth process extracts the record group whose recursive information is “N (N is a natural number)”), and performs the following process.

  In other words, the business flow comparison unit 112 first classifies the “extracted record group (first time)” into a record group with the employee type “excellent” and a record group with the employee type “general”. Next, for each record in the record group with the employee type “excellent”, the operation ID of the connection source operation of the record, the circulation information of the connection source operation, and the connection destination in the record group with the employee type “general” It is determined whether there is a record that matches the operation ID of the operation and the recurring information of the connection destination operation. If there is no record, only one of the excellent employees and general employees has performed the execution status information of the record. “1” is registered as information indicating “No”, and nothing is registered when it exists (of course, another value may be registered).

Next, for each record in the record group with the employee type “general”, the operation ID of the connection source operation of the record, the recurring information of the connection source operation, and the connection destination in the record group with the employee type “excellent” It is determined whether there is a record that matches the operation ID of the operation and the recurring information of the connection destination operation. If there is no record, only one of the excellent employees and general employees has performed the execution status information of the record. “1” is registered as information indicating “No”, and nothing is registered when it exists (of course, another value may be registered).
As a result, it is possible to extract the difference in the execution order of the operations performed by the excellent employee and the general employee in the same iteration as the difference in the execution sequence of the performed operations.

  Subsequent to step s310 described above, the business flow comparison unit 112 uses the usage data of each operation performed by the excellent employee and the general employee for each round of business negotiation (for each data item constituting the business data created by each operation). (Data indicating how it is used) are compared, and differences in the same rounds and changes due to rounds of transition are extracted (s320).

In step s320, the business flow comparison unit 112 first sets the name of each data item registered in the “value combination and usage rate” of each record for all records in the usage data storage unit 128 of each operation. Of the “value combination” and “usage rate”, the “value combination” and the “usage rate” whose “utilization rate” is equal to or higher than a predetermined probability (for example, 80% or more) are highlighted by the first method.
In addition, data indicating that there is a typical value (for example, “present”) among “data indicating presence / absence of typical value” of each data item name registered in “presence / absence of typical value” of each record is set. The “data indicating the presence or absence of a typical value” is highlighted by the first method.
In addition, for each data item name registered in “Number of value types and usage rate” of each record, the “Utilization rate” of each “Number of value types” is compared, and the “Value” with the highest “Usage rate” "Number of types" and "Usage rate" are highlighted in the first way.
In addition, among the “determining rates” of each data item name registered in the “value determinating rate” of each record, the “determining rate” that is a predetermined probability or higher (for example, 80% or higher) is highlighted by the first method. To do.

  This makes it easier for the analyst to visually grasp the difference in change due to the sequential transition of the data item by comparing the business flow of the excellent employee and the general employee by paying attention to the same data item name. For example, by comparing the business flow by focusing on the confirmation rate of the value of a certain data item name, the number of negotiations that each excellent employee and general employee decide on the value of that data item can be confirmed. It will be easier to see if there is a difference next.

Next, the business flow comparison unit 112 sequentially extracts records whose employee type is “excellent” from the use data storage unit 128 of each operation, and performs the following processing.
In other words, the business flow comparison unit 112 includes records whose operation IDs match the extracted information of the “extracted record” in the record group whose employee type is “general” in the usage data storage unit 128 of each operation. Judge whether to do.
That is, when a good employee and a general employee perform the same operation for the same round of business negotiations, the operation (one or more) is specified. If there is no record in the usage data storage unit 128 for each operation that satisfies the above condition, the workflow comparison unit 112 does nothing.

  On the other hand, if there is a record in the usage data storage unit 128 for each operation that satisfies the above-described determination, the workflow comparison unit 112 indicates that the employee type is “excellent” with the same value for the circular information and the operation ID. One or more data items registered in the “value combination and usage rate” of the first record and the second record whose employee type is “general” (composing business data created by the operation ID) For “data item name”, “value combination” and “usage rate” of “one or more data items”, “data item name” is the same value, and “value combination” and “usage rate” are different. It is determined whether the data item exists, and if it exists, the “data item name” and “value combination” of the data item in the “value combination and usage rate” of the first record and the second record. And "Usage rate" It highlighted in the second method, if not absent displayed highlighted.

  In addition, the workflow comparison unit 112 determines the “data item name” and “typical value presence / absence” of one or more data items respectively registered in the “presence / absence of typical value” of the first record and the second record. For “data to be displayed”, it is determined whether there is a data item having the same value in “data item name” and a different value in “data indicating presence / absence of typical value”. Highlight the “data item name” and “data indicating presence / absence of typical value” of the data item in the “presence / absence of typical value” of the record and the second record using the second method. do not do.

  The workflow comparison unit 112 also includes the “data item name” and “value value” of one or more data items respectively registered in the “number of types of values and usage rate” of the first record and the second record. For “Number of types” and “Usage rate”, determine whether there is a data item with the same value for “Data item name” and different “Number of types of value” with the highest “Usage rate”. Is the “data item name” of the data item in the “number of value types and usage rate” of the first record and the second record, and the “number of value types” with the highest “usage rate”. “Utilization” is highlighted by the second method, and if it does not exist, it is not highlighted.

  In addition, the workflow comparison unit 112 determines the “data item name” and “determining rate” of one or more data items registered in the “value determinating rate” of the first record and the second record, respectively. It is determined whether there is a data item having the same value for “data item name” and a different value for “determining rate”. If there is, the “value” of the first record and the second record The “data item name” and “determining rate” of the data item in the “determined rate” are highlighted by the second method, and are not highlighted if they do not exist.

As a result, as the difference in the usage data of each operation, the difference in the usage data of the operation when a good employee and a general employee perform the same operation for the same round of business negotiations is visually understood. It becomes easy to do.
For the first and second methods of highlighting, display with a thick line, display an underline, change the display color, change the character size, and the like are used. Of course, other methods may be used.

  Subsequent to step s320 described above, the business flow comparison unit 112 performs various differences extracted in steps s300 to s320 (operations performed by excellent employees and general employees, the order of execution, and usage data of each operation in the same round. Differences and differences due to successive transitions) are highlighted on the business flow (s330).

In step s330, the business flow comparison unit 112 determines whether or not to perform the “first highlighting process” of the difference between operations performed by a good employee and a general employee among the records stored in the operation arrangement information storage unit 131. For each record in which information (for example, “1”) indicating that only one of the excellent employees and general employees has been registered in the information is drawn according to the X coordinate and Y coordinate registered in the record The operation object 1010 is specified, and the specified operation object 1010 is highlighted and drawn by the third method.
Note that the third method of highlighting the operation object 1010 uses changing the display color, changing the thickness of the outer frame line, changing the fill pattern, or the like. Of course, other methods may be used.

  In addition, as the “second highlighting process” of the difference between operations performed by a good employee and a general employee, the business flow comparison unit 112 first has an employee type “excellent” from the operation arrangement information storage unit 131. In addition, the first record group in which the value is registered in the circulation information (first execution), and the second in which the employee type is “general” and the value is registered in the circulation information (first execution) The record group of is extracted.

Next, for each record of the extracted first record group, the workflow comparison unit 112 records in the extracted second record group that the operation ID is the same value as the operation ID registered in the record. Determine if exists.
When there is no record that satisfies the condition in the above determination, the workflow comparison unit 112 identifies the operation object 1010 drawn according to the X coordinate and Y coordinate registered in the record, and identifies the identified operation object 1010 as “ As an operation performed only by one of the excellent employee and the general employee ", it is highlighted and drawn by the fourth method.

  On the other hand, if there is a record that satisfies the condition in the above determination, the workflow comparison unit 112 outputs the first record with the same operation ID and the employee type “excellent” and the employee type “general”. The second record's recurring information (first execution) is compared, and as a result of the comparison, the first record's recurring information (first execution) is the second record's recurring information (first execution) value. Is smaller than the two, the two operation objects 1010 drawn according to the X and Y coordinates registered in the first record and the second record are specified, and the two specified operation objects 1010 are designated as “ The fourth method highlights and draws as “First-time information performed by a good employee is faster than a regular employee”.

  Moreover, as a result of the comparison, if the value of the circulation information (first execution) of the first record is larger than the value of the circulation information (first execution) of the second record, the first record and the The two operation objects 1010 drawn according to the X coordinate and the Y coordinate registered in each of the second records are specified, and the two specified operation objects 1010 are identified as “the first information that the excellent employee has implemented is the general employee. As a “slower operation”, the fourth method is highlighted and drawn.

  In addition, as a result of the comparison, if the value of the circulation information (first execution) of the first record is the same as the value of the circulation information (first execution) of the second record, the first record and the first record The two operation objects 1010 drawn according to the X coordinate and the Y coordinate registered in each of the two records are specified, and the two specified operation objects 1010 are identified as “general information first performed by a good employee as a general employee. As the “same operation”, it is highlighted and drawn by the fourth method.

  All of the first record group (record group in which the employee type is “excellent” and the value is registered in the circular information (first time execution)) extracted from the operation arrangement information storage unit 131 by the above processing The workflow comparison unit 112 extracts the second record group extracted from the operation arrangement information storage unit 131 (employee type is “general” and the recurring information (first execution)). For each record in the record group), it is determined whether there is a record having the same value as the operation ID registered in the record in the extracted first record group. In this case, the operation object 1010 drawn according to the X coordinate and the Y coordinate registered in the record is specified, and the specified operation object 1010 is designated as “one of the excellent employee or the general employee”. There as operation "conducted, and highlight the drawing in the fourth method, it does not process anything if present.

  The fourth method for highlighting the operation object 1010 is that each of the operations performed by the excellent employee and the general employee has the first information performed by the excellent employee earlier than the general employee, the later operation, and the same operation. Or, change the display color according to the four categories so that you can identify which of the four categories of operations that only one of the excellent employees and regular employees has done. Change thickness, change fill pattern, etc. Of course, other methods may be used.

Analyzing the behavior characteristics analysis to determine whether the first highlighting process or the second highlighting process, which is the difference between operations performed by good employees and regular employees, is performed Before the analysis is performed or during the analysis (the timing is not limited as long as it is before step s330), the file is input through an appropriate interface or is acquired through the input unit 105. Of course, other acquisition methods may be used.
Subsequently, the business flow comparison unit 112 performs the following processing in order to highlight the difference in the execution order of operations performed by excellent employees and general employees.

  In other words, the business flow comparison unit 112 includes information (for example, “1”) indicating that only one of the excellent employee and the general employee has performed the implementation information among the records stored in the arrow information storage unit 132. For each registered record, the operation arrangement information storage unit 131 is searched using the employee type registered in the record, the operation ID of the connection source operation, and the circulation information of the connection source operation. Acquire the coordinates and Y coordinates to identify the operation object 1010 of the connection source operation, and store the operation arrangement information using the employee type registered in the record, the operation ID of the connection destination operation, and the circulation information of the connection destination operation. The connection part operation is retrieved, the X coordinate and the Y coordinate of the connection destination operation are acquired, the operation object 1010 of the connection destination operation is specified, and the operation object 1010 of the specified connection source operation The arrow object 1020 that connects the operation object 1010 in connection previous operation highlight in the fifth method to draw.

It should be noted that the operation arrangement information storage unit in which information (for example, “1”) indicating that only one of the excellent employee and the general employee has performed the highlighting process of the arrow object 1020 is performed in the execution information. Of the 131 records, the implementation may be performed only on records in which the number of implementation cases is a predetermined number or more.
The predetermined number may be set in advance in the workflow comparison unit 112, or may be acquired from an analyst through file input via an appropriate interface or via the input unit 105 (of course, other than this) May be used).
For the predetermined number, different values may be set for the employee types “excellent” and “general”, or the same value may be set.
Furthermore, out of records where information indicating that only one of the excellent employees or regular employees (for example, “1”) has not been registered in the implementation status information, records for which the number of implemented cases is greater than or equal to the predetermined number Alternatively, the above-described highlight display processing of the arrow object 1020 may be performed, but the highlight display may be performed using the sixth method instead of the fifth method.
As a result, it is possible to grasp the difference after narrowing down the order of operations performed by the excellent employee and the general employee from the execution order of various operations performed by the excellent employee and the general employee.

  The fifth and sixth methods for highlighting the arrow object 1020 include changing the thickness of the arrow, changing the display color, and the shape and size of either or both of the start and end points of the arrow. Use a solid line or a dotted line. Of course, other methods may be used.

Subsequently, the business flow comparison unit 112 performs the following processing in order to highlight the difference in the usage data of each operation between the excellent employee and the general employee.
In other words, the workflow comparison unit 112 displays the “value combination” registered in each record of the usage data storage unit 128 of each operation that has been subjected to the highlighting processing of the label of each data object 1030 drawn in step s220. And “use rate”, “presence / absence of typical value”, “number of value types and use rate”, or “value confirmation rate”.

In addition, when the difference between the operations performed by the excellent employee and the general employee is highlighted using the “second highlighting process” described above, the workflow comparison unit 112 associates data with the highlighted operation object 1010. Only the object 1030 may be specified and drawn.
Specifically, among the records in the operation arrangement information storage unit 131, the employee type, the recurring information, and the operation ID values of each record in the record group in which the value is registered in the recurring information (first execution) are used. Then, among the records in the usage data storage unit 128 for each operation, a record group in which each value of the employee type, the circulation information, and the operation ID matches each value of the record is specified, and only the “specified record group” The data object 1030 is drawn on the target.

At this time, the label of the data object 1030 includes “determined value” (“value combination and usage rate”, “presence / absence of typical value”, “number of value types and usage” of each record of the “specified record group”. Only “data item name” registered in “Rate” may be used.
Further, among the “specified record group”, the “data item name” registered in each record of the record group with the circulation information “1” is highlighted and drawn by the second method.
Furthermore, among the “specified record group”, the circulation information is “data item name” registered in each record of the record group of “N (N is a natural number of 2 or more)”, and the circulation information "Data item name" which is not registered in any record in the record group from "1" to "N-1" is highlighted and drawn by the second method.

  In addition, the workflow comparison unit 112 performs the above-described various highlighting processes, and then acquires the “data item name” designated by the analyst via the input unit 105 (the label of the data object 1030 where the analyst is present). The specified data item name is “value fixed rate” (“value combination and usage rate” from the records of the usage data storage unit 128 for each operation). ”“ Presence / absence of typical value ”and“ Number of types of values and usage rate ”may be used to extract the record group, and for each record in the extracted record group, the employee registered in the record The operation arrangement information storage unit 131 is searched using the type, the circulation information, and the operation ID, the X coordinate and the Y coordinate of the operation using the “data item name” designated by the analyst are acquired, and the acquired X coordinate and Y are acquired. Coordinate Follow identifies drawn operated object 1010, to highlight the data object 1030 tied thereto an operation object 1010 specified in the seventh method.

  This highlights the operations related to the data items specified by the analyst and the usage data for those operations from among the various operations performed by excellent employees and general employees and the usage data for those operations. This makes it easier to visually compare the actions taken by excellent employees and regular employees against items.

  Note that the seventh method of highlighting the operation object 1010 and the data object 1030 uses changing the display color, changing the thickness of the outer frame line, changing the fill pattern, or the like. Of course, other methods may be used.

19, 20, and 21 are diagrams illustrating business flow highlight display images of processing results by the business flow comparison unit 112 according to the present embodiment.
The business flow emphasis display image (1) 1100 shown in FIG. 19 is composed of business data created by each operation using the business flow executed by the excellent employee and the general employee until the execution of the product X as a label of the data object 1030. “Data item name and number of types of values and usage rate” of one or more data items to be displayed, and “first highlighting processing” indicating the difference in operation performed by excellent employees and general employees in step s330 This is an image when used and highlighted.

Among the operation objects 1010, a triangular object whose label is “negotiation” is an operation object of “operation ID indicating the second turn” registered in the operation information storage unit 125 indicating the second turn of the negotiation. . The square object with the label “Start” is an operation object added by the business flow extraction unit 110 as an operation log indicating the business start in step s110.
The other square objects are operation IDs (pension sim, investment yield sim, asset allocation sim, estimate creation, product X execution, life plan sim) performed by excellent employees and general employees.

  Further, among the operation objects 1010, the operation object 1010 performed by a good employee whose employee type is “excellent” is arranged on the upper side, and the operation object 1010 performed by a general employee whose employee type is “general” is on the lower side. Arranged and drawn by dividing by employee type lane 1040.

  In addition, the operation object 1010 is divided by the negotiation stage lane 1050 for each round of negotiations in which each operation has been performed (arranged together with the rounds of the negotiations that have been performed). The operation object of the executed operation ID is arranged with the vertical position aligned, and the operation object of “operation ID indicating the second turn” is arranged and drawn on the rightmost side of each negotiation stage lane 1050.

Each operation object 1010 is connected by an arrow object 1020 according to the arrow information storage unit 132.
Each data object 1030 uses an object indicating data in which “data item name, number of types of values and usage rate” of one or more data items constituting business data created by each operation is set as a label. It is drawn and connected to the operation object 1010 of the operation that created the business data by a dotted line object.

  In addition, by the “first highlighting process” shown in step s330, the operation object 1010, which is performed by only one of the excellent employees and the general employees each time, among the operation objects 1010, the outer frame is displayed in bold lines. Is highlighted. This makes it easier for the analyst to visually grasp the difference in whether or not the operations performed by the excellent employee and the general employee at the same time.

  In addition, among the arrow objects 1020, the arrow object 1020 having the number of executed cases equal to or greater than the predetermined number is highlighted using a thick arrow, and the number of executed cases is equal to or greater than the predetermined number, and the excellent employees and general employees An arrow object 1020 executed by only one of the objects is highlighted using a thick arrow with a round start point. This makes it easier for analysts to visually understand the order of execution (main path) often performed by good employees and general employees, and the differences, among the various operations performed by good employees and general employees. Become.

  Further, for all the data objects 1030, the utilization rate is the highest among the number of types of values of the data item names set in the labels (1 type, 2-3 types, and 4 ranges). The number of types of values and the utilization rate are highlighted with bold lines. In FIG. 19, taking the data item name “target yield” as an example, the number of types with the highest utilization rate and the utilization rate are indicated by bold lines for all data objects 1030 that include “target yield” in the label. Is highlighted. This makes it easier for the analyst to visually grasp the changes in the number of types of values with the highest usage rate and the differences due to the gradual transition of good employees and general employees. For example, in the example of FIG. 19, a good employee considers 2-3 types of target yields at the first negotiation and converges to one type at the second negotiation, whereas a general employee negotiates at the first negotiation. From the above, one type of target yield can be examined and the difference that it is the same after the second time can be grasped.

  In addition, among the data objects 1030, the number of types of values having the highest utilization rate differs between the excellent employees and the general employees for the data objects 1030 associated with the operations performed by both the excellent employees and the general employees in the same round. When the data item name exists, the data item name, the number of types of values, and the usage rate are highlighted using an underline.

  In FIG. 19, the data item name “Target Yield” created by the operation “Operating Yield Sim” performed by both the excellent employee and the general employee in the negotiation (first time) has the highest utilization rate among the excellent employee and the general employee. Because the number of value types is different, it is highlighted using an underline. This makes it easier for the analyst to visually grasp the difference in the usage of the data items created by the operations when the excellent employee and the general employee perform the same operation at the same time. For example, in the example of FIG. 19, it can be understood that a good employee examines 2-3 types of target yields in the first negotiation, while a general employee examines only one type of target yield.

  The business flow emphasis display image (2) 1200 shown in FIG. 20 is composed of business data created by each operation using the business flow executed by the excellent employee and the general employee until the product X is executed as a label of the data object 1030. Display the “data item name and value confirmation rate” for one or more data items to be displayed, and highlight the difference in the operations performed by excellent employees and general employees using the “first highlight processing” shown in step s330 This is an image when the analyst specifies the data item name “target yield”. Hereinafter, parts different from FIG. 19 will be described.

  An operation object 1010 (operation yield Sim and asset allocation Sim) for an operation for creating a data item name “target yield” designated by an analyst, and a data object 1030 associated with the operation object 1010 are highlighted in gray. Has been.

In addition, for all data objects 1030, among the data item names set in the label, the data item names with a fixed rate of a predetermined probability or higher and the fixed rate are highlighted using a bold line.
In FIG. 19, taking the data item name “target yield” as an example, out of all data objects 1030 including “target yield” in the label, the confirmation rate and the data name (“ Target yield ") is highlighted. This makes it easier for the analyst to visually grasp the change and the difference in the rate of determination of each data item name due to the gradual transition of excellent employees and general employees. For example, in the example of FIG. 19, it can be understood that the excellent employee determines the target yield in the first negotiation, while the general employee determines the target yield in the second negotiation.

In addition, in the data object 1030, there is a data item name having a different confirmation rate between the excellent employee and the general employee for the data object 1030 associated with the operation performed by both the excellent employee and the general employee in the same round. The data item name and the confirmation rate are highlighted using an underline.
In FIG. 19, since the fixed rate of the data item name “Target Yield” created by the operation “Operating Yield Sim” performed by both the excellent employee and the general employee in the negotiation (first time) differs between the excellent employee and the general employee. It is highlighted with an underline. This makes it easier for the analyst to visually grasp the difference in the usage of the data items created by the operations when the excellent employee and the general employee perform the same operation at the same time.

  The work flow emphasis display image (3) 1300 shown in FIG. 21 shows the work flow performed by the excellent employee and the general employee until the product X is executed, and shows the difference in the operations performed by the excellent employee and the general employee in step s330. This is an image when highlighted using the “second highlighting process” shown. Hereinafter, parts different from FIG. 19 will be described.

  By the “second highlighting process” shown in step s330, among the operation objects 1010, each of the excellent employees and the general employees performs the operation object for the first time in each time, `` The first operation is the slower operation for the excellent employee who is the first information performed '' and `` The first operation is the same operation for the excellent employee and the general employee '' or `` One of the excellent employee and the general employee '' The operations are classified into “operations performed by only one” and are highlighted using different fill patterns. This allows analysts to know what new operations have been implemented by good employees and regular employees for each round of business negotiations, and what are the differences in the timing (rounds) of performing those operations. It becomes easy to grasp visually.

  In addition, in the data object 1030, only the data object associated with the operation object that each of the excellent employee and the general employee performs for the first time each time is drawn, and only the data item name is set in the label of each data object, In addition, the data item name created for the first time in each round is highlighted using an underline. This allows analysts to know what new data items were used by good employees and regular employees for each round of business negotiations, and how they differed the first time these data items were used. It becomes easy to grasp visually.

Although the best mode for carrying out the present invention has been specifically described above, the present invention is not limited to this, and various modifications can be made without departing from the scope of the invention. For example, the above-described embodiment has been described in detail for easy understanding of the present invention, and is not necessarily limited to the one having all the configurations described.
It goes without saying that the specific configuration and data items of the table and the flow of data processing between the tables can be appropriately changed according to the system to be analyzed, the terminal operator, and the purpose of the analysis.
Further, the highlighting method can be variously modified in addition to the first to fourth methods, and various display methods such as blinking display and moving screen display can be applied.

DESCRIPTION OF SYMBOLS 100 ... Behavior characteristic analyzer, 101 ... Memory | storage part, 103 ... Memory, 104 ... Operation part, 105 ... Input part, 106 ... Output part, 110 ... Business flow extraction part, 111 ... Business flow display part, 112 ... Business flow comparison 121, operation log storage unit 122, business data storage unit 123, user information storage unit 124, operation information storage unit 124 indicating a break in business, 125 ... operation information storage unit indicating a turn of the negotiation, 126 ... Analysis target operation log storage unit, 127 ... Analysis target business data storage unit, 128 ... Usage data storage unit for each operation, 131 ... Operation arrangement information storage unit, 132 ... Arrow information storage unit, 400 ... Client terminal, 500 ... Server machine, 1000 ... business flow display image, 1010 ... operation object, 1020 ... arrow object, 1030 ... data object Door, 1040 ... employee type lane, 1050 ... negotiation stage lane, 1100 ... business flow highlighted image (1), 1200 ... business flow highlighted image (2), 1300 ... business flow highlighted image (3).

Claims (14)

An operation log storage unit for storing a terminal operation history by the terminal operator;
A data storage unit for storing data used by the terminal operator when operating the terminal;
Based on at least the information of the operation log storage unit and the data storage unit, a calculation unit that extracts the content of the terminal operation by the terminal operator, the execution order of the terminal operation, and data used in the terminal operation,
Action characteristic analysis apparatus comprising an output unit that displays the contents of the terminal operation by the terminal operator, the execution order of the terminal operation, and data used in the terminal operation in a form that can be compared for each terminal operator .   2. The terminal operator according to claim 1, wherein the output unit classifies the content of the terminal operation by the terminal operator, the execution order of the terminal operation, and data used in the terminal operation for each negotiation stage. A behavioral characteristic analysis device that displays every time.   The behavior characteristic analysis apparatus according to claim 2, wherein the output unit highlights an arbitrary item among the contents of the terminal operation by the terminal operator, the execution order of the operation, and data used in the terminal operation.   4. The behavior characteristic analysis device according to claim 3, wherein the arbitrary item is a content of a terminal operation that is performed by one terminal operator and not performed by another terminal operator in the same negotiation stage.   In claim 3, the optional items include the difference in negotiation stages performed by one terminal operator and other terminal operators for the same terminal operation content, and the data used at the beginning of each negotiation stage. A behavioral characteristic analyzer that is the difference.   4. The optional item according to claim 3, wherein the arbitrary item is a combination or typical example of data values used by one terminal operator and a combination or typical example of data values used by another terminal operator in the same negotiation stage. A behavioral characteristic analyzer that is different from the example.   4. The behavior characteristic analysis device according to claim 3, wherein the arbitrary items are the number of types of data values and the determination rate used by the terminal operator. Server,
A behavior analysis characteristic analysis system for providing behavior characteristic analysis to a client terminal connected to the server,
The server includes an operation log storage unit that stores a history of terminal operations by terminal operators,
A data storage unit for storing data used when the terminal operator operates the terminal; and
A calculation unit that extracts the content of the terminal operation by the terminal operator, the execution order of the terminal operation, and data used in the terminal operation based on at least the information of the operation log storage unit and the data storage unit; ,
The client terminal includes a storage unit shared by the server and the client terminal, and
An output unit for displaying the contents of the terminal operation by the terminal operator extracted in the server, the execution order of the terminal operation, and the data used in the terminal operation in a form that can be compared for each terminal operator; A behavioral characteristic analysis system.   In claim 8, the output unit of the client terminal classifies the content of the terminal operation by the terminal operator, the execution order of the terminal operation and the data used in the terminal operation for each negotiation stage, Behavior characteristic analysis system that displays for each terminal operator.   10. The behavior characteristic according to claim 9, wherein the output unit of the client terminal highlights an arbitrary item among the contents of the terminal operation by the terminal operator, the execution order of the operation, and data used in the terminal operation. Analysis system.   11. The behavior characteristic analysis system according to claim 10, wherein the arbitrary item is a content of a terminal operation that is performed by one terminal operator in the same negotiation stage and is not performed by another terminal operator.   In Claim 10, the said arbitrary item is the difference of the negotiation stage which one terminal operator and the other terminal operator implemented about the content of the same terminal operation, and the data used initially in each negotiation stage Behavior characteristic analysis system that is the difference.   11. The optional item according to claim 10, wherein the arbitrary item includes a combination or typical example of data values used by one terminal operator and a combination or typical example of data values used by another terminal operator in the same negotiation stage. A behavioral characteristic analysis system that is different from the examples. 11. The behavior characteristic analysis system according to claim 10, wherein the arbitrary items are the number of types of data values used by the terminal operator and a deterministic rate.