JP2019087048A - Data extraction device, data extraction method and data extraction program - Google Patents

Abstract

To provide a data extraction device, data extraction method, data extraction program that are capable of reducing the burden of an improvement task according to data analysis.SOLUTION: A data extraction device 100 receives a request for an improvement task according to data analysis, and extracts data in which usage classification corresponding to the received request is set, from a storage device storing various data in which usage classification is set. These allows the burden of an improvement task according to data analysis to be reduced.SELECTED DRAWING: Figure 2

Description

  The present invention relates to a data extraction apparatus, a data extraction method, and a data extraction program.

  2. Description of the Related Art Conventionally, in a business management system or the like adopting a BI (Business Intelligence) tool, a digital dashboard showing a screen for integrating and displaying various data may be used to analyze various operations. For example, in Patent Document 1, sales data of each store is collected, and a notice text is generated when the change rate of the collected sales data of each store exceeds a reference value set as an index of change rate of sales data. Analysis sheet creation processing to be output is disclosed.

JP 2012-128875 A

  However, the prior art has a problem that the improvement work according to the data analysis is complicated. For example, after analyzing the sales situation of each store and the stock situation of the product, as an improvement work according to the analysis, ordering work of the product to the store whose stock runs short occurs. In this respect, although the prior art analyzes sales data, it does not necessarily extract data suitable for improvement work according to the analysis, so for the user, improvement work according to data analysis is complicated. It is.

  The present invention is made in view of the above, and an object of the present invention is to provide a data extraction device, a data extraction method and a data extraction program which can reduce the burden of improvement work according to data analysis.

  In order to solve the problems described above and achieve the object, the data extraction device according to the present invention is a data extraction device provided with a control unit, and the control unit is for improvement work according to data analysis. Providing a receiving unit for receiving a request, and an extracting unit for extracting data in which a usage category corresponding to the received request is set from the storage device storing various data in which the usage category is set; It features.

  Further, in the data extraction apparatus according to the present invention, the control unit further includes an output unit for outputting the extracted data as a file, and the reception unit is for outputting the file as one of the improvement work. A request is received, and the extraction unit is characterized by extracting from the storage device data in which a usage category corresponding to the request for file output is set.

  Further, in the data extraction apparatus according to the present invention, the output means outputs a file in an arbitrary data format.

  Further, in the data extraction device according to the present invention, the control unit further includes cooperation means for requesting an update according to the extracted data in cooperation with another system, and the reception means performs the improvement work Receiving the request for updating data of another system as one of the plurality of data, and the extraction means extracts, from the storage device, data in which a usage category corresponding to the request for updating data of the other system is set To be characterized.

  Further, in the data extraction apparatus according to the present invention, the storage device further stores extraction conditions of data, and the extraction means extracts data from the storage device based on the extraction conditions. I assume.

  Further, a data extraction method according to the present invention is a data extraction method executed by a data extraction device provided with a control unit, and the request for improvement work according to data analysis is executed by the control unit. Characterized by including an accepting step of accepting, and an extracting step of extracting data in which a use category corresponding to the accepted request is set from a storage device that stores various data in which the use category is set. .

  Further, a data extraction program according to the present invention is a data extraction program to be executed by a data extraction device provided with a control unit, and for improvement work according to data analysis to be executed by the control unit. Characterized by including a receiving step for receiving a request, and an extracting step for extracting data in which a usage category corresponding to the received request is set from a storage device storing various data in which the usage category is set. I assume.

  According to the present invention, it is possible to reduce the burden of improvement work according to data analysis.

FIG. 1 is a diagram for explaining an example of improvement work according to the prior art. FIG. 2 is a block diagram showing a configuration example of the data extraction device according to the embodiment. FIG. 3A is a diagram for explaining information stored in dashboard header information according to the embodiment. FIG. 3B is a diagram for explaining information stored in dashboard item information according to the embodiment. FIG. 3C is a diagram for explaining information stored in extraction condition information according to the embodiment. FIG. 4A is a diagram showing an example of dashboard header information used for data extraction processing according to the embodiment. FIG. 4B is a diagram showing an example of dashboard item information used for data extraction processing according to the embodiment. FIG. 4C is a diagram showing an example of extraction condition information used for data extraction processing according to the embodiment. FIG. 5 is a diagram showing an example of a digital dashboard representing a store sales analysis according to the embodiment. FIG. 6 is a diagram showing an example of data output according to the embodiment. FIG. 7 is a flowchart showing an example of the flow of data extraction processing according to the embodiment.

  Hereinafter, embodiments of a data extraction apparatus, a data extraction method, and a data extraction program according to the present invention will be described with reference to the attached drawings. Note that the present invention is not limited by the following embodiments.

[Improvement work related to the prior art]
In the management of a store or the like, analysis work may be performed to analyze the sales status of each store and the stock status of products. In the analysis work, it is possible to grasp the situation by a system using a digital dashboard showing a screen for collecting sales data and inventory data of each store and integrating and displaying each data. Moreover, after such analysis work is performed, it is assumed that improvement work according to the analysis is performed. For example, one of the improvement operations is an ordering operation of goods to a store whose stock is insufficient.

  FIG. 1 is a diagram for explaining an example of improvement work according to the prior art. For example, as shown in FIG. 1, a screen of “store sales analysis” including sales data and inventory data of each store is displayed on the digital dashboard. In detail, the store sales analysis screen displays information on the store name of each store, the product name of each product, the number of sales of each product, the sales amount of each product, and the number of stocks of each product. Be done. Here, a user such as a manager performs improvement work (for example, ordering work) based on the stock quantity of each product of each store. In addition, the user causes the information of the store sales analysis to be file-outputted by pressing the “data output” button arranged on the screen of the store sales analysis, and the information output as a file is viewed. It is also possible to perform improvement work (for example, ordering work) based on the number of stocks.

  For example, in the ordering operation, data including the store code and store name of the supplier, the product code and product name of the product to be ordered, and the number of orders are manually created. In the example of FIG. 1, since the inventory number of “T-shirt” which is a product of Shinagawa store is “1”, the order number of T-shirts of Shinagawa store is “19”, and “cardigan” which is a product of Shinjuku store Since the number of stocks of “3” is “3”, the number of cardigan orders placed in the Shinjuku store is “17”. As described above, in the prior art, the data for analysis displayed on the screen is directly output as a file, and the improvement work such as ordering work is performed manually. Therefore, for the user, the improvement work according to the data analysis is complicated, and it is difficult to quickly and preferably perform the actions from the analysis work to the improvement work that occurs after the analysis work.

  Therefore, in the present embodiment, for example, data for extracting data in which a usage category corresponding to a request for improvement work according to data analysis is set from a storage device storing various data in which the usage category is set. Abstract: An extraction apparatus, a data extraction method and a data extraction program are provided. The specific configuration and operation will be described below.

[Constitution]
The configuration of the data extraction apparatus 100 according to the embodiment will be described with reference to FIG. FIG. 2 is a block diagram showing a configuration example of the data extraction apparatus 100 according to the embodiment.

  The data extraction device 100 is, for example, a desktop personal computer. The data extraction apparatus 100 is not limited to a stationary information processing apparatus such as a desktop personal computer, and may be a portable personal computer such as a notebook personal computer, a PDA (Personal Digital Assistants), a smartphone, and a tablet personal computer. It may be a type of information processing apparatus.

  As shown in FIG. 2, the data extraction apparatus 100 includes a storage unit 110, a control unit 120, a communication interface unit 130, and an input / output interface unit 140. Each unit included in the data extraction apparatus 100 is communicably connected via an arbitrary communication path.

  The communication interface unit 130 communicably connects the data extraction device 100 to the network 1 via a communication device such as a router and a wired or wireless communication circuit such as a dedicated line. The communication interface unit 130 has a function of performing data communication with another device via a communication line. Here, the network 1 has a function of communicably connecting the data extraction device 100 and the cooperation system 200, and is, for example, the Internet, a local area network (LAN), or the like.

  The input device 11 and the output device 12 are connected to the input / output interface unit 140. Besides the monitor (including a home television), a speaker or a printer can be used as the output device 12. As the input device 11, in addition to a keyboard, a mouse, and a microphone, a monitor which realizes a pointing device function in cooperation with the mouse can be used. In the present embodiment, a digital dashboard is displayed and output on the output device 12.

  The storage unit 110 stores various databases, tables, files, and the like. The storage unit 110 stores a computer program for giving instructions to a central processing unit (CPU) in cooperation with an operating system (OS) to perform various processes. As the storage unit 110, for example, a memory device such as a random access memory (RAM) or a read only memory (ROM), a fixed disk device such as a hard disk drive (HDD), a flexible disk, an optical disk or the like can be used.

  The storage unit 110 stores various data in which the usage classification is set. The storage unit 110 includes, as a database, dashboard header information 111, dashboard item information 112, and extraction condition information 113. Among these, the dashboard header information 111 stores information representing the name of the digital dashboard, and connection information on a cooperation destination system that cooperates with the data extraction apparatus 100. The dashboard item information 112 stores various data included in the digital dashboard in association with the usage classification. The extraction condition information 113 stores information regarding the extraction condition at the time of data extraction for file output and cooperation with other systems. The storage unit 110 is an example of a “storage device”, and may not be included in the data extraction device 100. For example, the external storage device connected to the data extraction apparatus 100 may be configured to store various data in which the usage classification is set.

  FIG. 3A is a diagram for explaining information stored in dashboard header information 111 according to the embodiment. As shown in FIG. 3A, the dashboard header information 111 includes a dashboard name indicating the name of the digital dashboard, and data linkage destination information indicating connection information to a linkage destination system linked with the data extraction apparatus 100. Information is stored. For example, the dashboard name is "store sales analysis". In the present embodiment, a case where analysis work using a digital dashboard including sales data and the like of each store is performed will be described as an example. Further, for example, the data cooperation destination information is connection information to the cooperation system 200. In the present embodiment, a case where improvement work (for example, ordering work) is performed in cooperation with the collaboration system 200 after analysis work will be described as an example.

  FIG. 3B is a diagram for explaining information stored in dashboard item information 112 according to the embodiment. As shown in FIG. 3B, the dashboard item information 112 stores various data included in the digital dashboard in association with the usage classification. For example, the dashboard item information 112 stores information on column items, usage classifications, output data classifications, output time column names, and output values. Among these, the column item is information of a column item used in the digital dashboard such as a “store code” identifying each store. The usage classification is information for setting which of various data is used for output to a screen, data output (file output), or data linkage. The output data classification is information indicating which of the screen value and the preset value is to be used during data output (file output) and data linkage. The output time column name is information indicating an item name of a column at the time of data output (file output) and at the time of data linkage. The output value is a value used when the output data classification is “preset value”.

  FIG. 3C is a diagram for explaining information stored in the extraction condition information 113 according to the embodiment. As shown in FIG. 3C, the extraction condition information 113 stores information on extraction conditions at the time of data output (file output) or at the time of data extraction performed at the time of data linkage with another system. In the present embodiment, conditions for extracting data of products corresponding to the stock quantity “10” or less will be described as an example.

  The control unit 120 is a CPU or the like that controls the data extraction device 100 in an integrated manner. The control unit 120 has an internal memory for storing control programs such as the OS, programs defining various processing procedures, required data, etc., and various information processing based on the stored programs. Run.

  The control unit 120 conceptually receives functions from (1) a receiving unit 121 for receiving a request for improvement work according to data analysis, and (2) from a storage device storing various data in which a usage classification is set. The extraction unit 122 extracts data in which the usage classification corresponding to the request accepted by the unit 121 is set, (3) the output unit 123 outputs the data extracted by the extraction unit 122, and (4) other system And a cooperation unit 124 requesting update according to the data extracted by the extraction unit 122.

  More specifically, according to the display of the digital dashboard relating to the analysis of the sales situation for each store and the stock situation of the product, the reception unit 121 is for improvement work (for example, ordering work etc.) according to the analysis. Accept the request. Here, in the present embodiment, data is output (file output) on information related to the number of ordered products for each store, and data on ordering of products such as the number of ordered products in cooperation with other systems such as the collaboration system 200 etc. The case of requesting an update of will be described as an example of the improvement work. For example, the digital dashboard displayed and output on the output device 12 includes a UI (User Interface) for file output and a UI for data linkage. The user uses the input device 11 to operate the UI for file output or data linkage. Thus, the receiving unit 121 receives a request for improvement work.

  The extraction unit 122 extracts, from the storage unit 110, data in which a usage category corresponding to the request for improvement work accepted by the acceptance unit 121 is set. As described above, the improvement work is file output or data linkage. Therefore, when the receiving unit 121 receives a file output request, the extracting unit 122 extracts, from the storage unit 110, data in which a usage classification corresponding to the file output is set. Similarly, when the receiving unit 121 receives a request for data linkage, the extracting unit 122 extracts, from the storage unit 110, data in which a usage classification corresponding to the data linkage is set. In addition, when the information regarding extraction conditions exists in the case of the data extraction from the memory | storage part 110, the extraction part 122 extracts data from the memory | storage part 110 based on this information.

  The output unit 123 outputs the data extracted by the extraction unit 122 as a file. For example, when the receiving unit 121 receives a request for file output by the receiving unit 121, and the extracting unit 122 extracts from the storage unit 110 the data for which the usage classification corresponding to the file output is set, the extracted data File output. The file output by the output unit 123 may have any data format.

  The cooperation unit 124 requests the cooperation system 200 to update according to the data extracted by the extraction unit 122. For example, in the case where the receiving unit 121 receives a request for data linkage and the extracting unit 122 extracts, from the storage unit 110, data in which the usage classification corresponding to the data linkage is set, the linking unit 124 operates the communication interface unit 130. , And transmits the extracted data to the cooperation system 200, and requests an update according to the data.

[Specific example of data extraction process]
Next, a specific example of the data extraction process according to the embodiment will be described using FIGS. 4A to 6.

  First, data used for a specific example of the data extraction process will be described with reference to FIGS. 4A to 4C. FIG. 4A is a diagram showing an example of dashboard header information used for data extraction processing according to the embodiment. As shown in FIG. 4A, the name of the digital dashboard is taken as store sales analysis, and information regarding the cooperation destination (cooperation system 200) at the time of data cooperation is taken as connection information to the database of the ordering system.

  FIG. 4B is a diagram showing an example of dashboard item information used for data extraction processing according to the embodiment. As shown in FIG. 4B, the usage classifications of the column item "store code" are "data output" and "data linkage". The output data classification of the column item "store code" is "screen value", and the output time column name is "supplier store code". In other words, the information about the store code is used in data output (file output) and data linkage, and the column name at the time of output is converted to the "supplier store code" and the value of the screen (digital dashboard) is used.

  The use classifications of the column item "store name" are "screen", "data output", and "data linkage". Further, the output data classification of the column item "store name" is "screen value", and the output time column name is "supplier store name". In other words, the information on the store name is used for display on the screen (digital dashboard), data output (file output), data linkage, and the column name at the time of output is converted to "supplier store name". In the screen (digital dashboard) values are used.

  The usage classifications of the column item "product code" are "data output" and "data linkage". Further, the output data classification of the column item "product code" is "screen value", and the output time column name is "product code". That is, the information on the product code is used in data output (file output) or data linkage, and the column name at the time of output is used as the "product code" as it is, and the value of the screen (digital dashboard) is used.

  The usage classifications of the column item "product name" are "screen", "data output", and "data linkage". Further, the output data classification of the column item "product name" is "screen value", and the output time column name is "product name". That is, the information on the product name is used for display on the screen (digital dashboard), data output (file output), data linkage, and the column name at the time of output as the product name as it is. The value of) is used.

  The usage classification of the column item "number of sales", the column item "sales amount", and the column item "number of stocks" is "screen". For these column items, an output data classification, an output time column name, and an output value are not set. That is, it indicates that these column items are not used in improvement work such as data output (file output) and data linkage.

  The usage classification of the column item "number of orders" is "data output" and "data linkage". Further, the output data classification of the column item "order number" is "preset value", and the output time column name is "order number". Further, the output value of the column item "order number" is "20-stock number". That is, the information on the number of orders is used in data output (file output) and data linkage, and the column name at the time of output is used as the "number of orders" as it is, and the value of "20-stock number" as a preset value. Is used.

  FIG. 4C is a diagram showing an example of extraction condition information used for data extraction processing according to the embodiment. As shown in FIG. 4C, at the time of data output (at the time of file output) or at the time of data linkage, data extraction is performed based on the extraction condition that “the number of stocks is 10 or less”.

  Next, with reference to FIG. 5, a digital dashboard representing a store sales analysis according to the embodiment will be described. FIG. 5 is a diagram showing an example of a digital dashboard representing a store sales analysis according to the embodiment.

  As shown in FIG. 5, the storage unit 110 stores data on a store code, a store name, a product code, a product name, the number of sales, the amount of sales, the number of stocks, and the number of orders. Here, data of column items surrounded by a broken line are displayed and output on the digital dashboard of the store sales analysis, in which “screen” is set to the usage classification shown in FIG. 4B. Further, as described above, as the column name, the name set for the output time column name is used.

  The digital dashboard for store sales analysis shown in FIG. 5 includes a “data linkage” button and a “data output” button. The data output button is used when file output is performed. That is, when the data output button is pressed, the receiving unit 121 receives a request for data output (file output) of information on the number of ordered products for each store, and the extracting unit 122 also uses the usage classification and the extraction condition. The data is extracted to be output as a file by the output unit 123.

  Further, the data linkage button is used when requesting data update of the linkage system 200. That is, when the data cooperation button is pressed, the reception unit 121 receives a request for updating data related to ordering of a product such as the number of orders in cooperation with another system such as the cooperation system 200, and the extraction unit The data is extracted based on the usage classification and the extraction condition by 122, and the cooperation unit 124 transmits a data update request.

  The data output when the data output button is pressed will be described below. FIG. 6 is a diagram showing an example of data output according to the embodiment. As shown in FIG. 6, when the data output button is pressed, the data of each column item surrounded by a broken line is output as a file in which "data output" is set in the usage classification shown in FIG. 4B. . In addition, since data is extracted based on the extraction condition, FIG. 4B shows a product (refer to the shaded area shown in FIG. 6) that matches the extraction condition “the number of stocks is 10 or less” shown in FIG. The file is output with the output value "20-stock quantity".

  Specifically, since the inventory number of Shinagawa T-shirts is “1”, the extraction condition “inventory number is 10 or less” is met, and the output value at the time of file output is “20−1 = 19”. . Similarly, since the cardigan of the Shinjuku store has "3" in stock, the extraction condition "stock number is 10 or less" is met, and the output value at the time of file output is "20-3 = 17".

[Data extraction process flow]
Next, the flow of data extraction processing according to the embodiment will be described with reference to FIG. FIG. 7 is a flowchart showing an example of the flow of data extraction processing according to the embodiment.

  As illustrated in FIG. 7, the receiving unit 121 determines whether a request for improvement work has been received (step S101). At this time, the receiving unit 121 receives a request for improvement work in response to a user operation in the digital dashboard for shop sales analysis (step S101: Yes). The request for improvement work is data output (file output) or data linkage. On the other hand, when the request for improvement work is not received (step S101: No), the reception unit 121 is in a state of waiting for the reception of the request.

  When the request for file output is received by the reception unit 121 (step S102: file output), the extraction unit 122 outputs, from the storage unit 110, data in which the usage classification corresponding to the file output is set according to the extraction condition. It extracts (Step S103). Thereafter, the output unit 123 outputs the data extracted by the extraction unit 122 as a file (step S104).

  In addition, when the receiving unit 121 receives a request for data linkage (step S102: data linkage), the extracting unit 122 sets a use category corresponding to data update of the collaboration system 200 according to the extraction condition. Data is extracted from the storage unit 110 (step S105). After that, the cooperation unit 124 requests the cooperation system 200 to update according to the data extracted by the extraction unit 122 (step S106).

  As described above, according to the present embodiment, a request for improvement work required after analysis work is received, and data in which a usage classification corresponding to the received request is set is stored as various data in which the usage classification is set. It is possible to reduce the burden of improvement work according to data analysis because it is extracted from the storage device.

  Further, according to the present embodiment, since the extracted data is output as a file in response to a request for file output, it is not necessary to generate the file manually or the like based on the analysis data, and the analysis work is performed. It is possible to quickly and preferably take action up to the improvement work that will occur later. Further, according to the present embodiment, the extracted data is transmitted in order to update the data of the other system in response to the request for data linkage, so that the action up to the improvement work that occurs after the analysis work can be quickened. -It can be suitably performed.

  Further, according to the present embodiment, data in which the usage classification is set is extracted from the storage device based on the extraction condition, so data suitable for improvement work can be output.

Other Embodiments
The present invention may be realized in various different embodiments within the scope of the technical idea described in the claims in addition to the above-described embodiments.

  For example, among the processes described in the embodiment, all or part of the process described as being automatically performed may be manually performed, or the process described as manually performed. All or part of them can be performed automatically by known methods.

  In addition, the information including the processing procedures, control procedures, specific names, registered data of each processing, parameters such as search conditions shown in this specification and drawings, screen examples, and database configurations, unless otherwise specified. It can be changed arbitrarily.

  Further, with regard to the data extraction apparatus 100, each component shown in the drawings is functionally conceptual, and does not need to be physically configured as illustrated.

  For example, all or any part of the processing functions of the data extraction apparatus 100, in particular each processing function executed by the control unit 120, are realized by a CPU and a program executed by the CPU It may be realized as hardware by wired logic. The program is recorded in a non-temporary computer-readable recording medium including programmed instructions for causing the information processing apparatus to execute the processing described in the present embodiment, and data extraction may be performed as necessary. The device 100 is mechanically read. That is, a computer program for giving an instruction to the CPU in cooperation with the OS and performing various processes is recorded in a storage unit such as the ROM or the HDD. The computer program is executed by being loaded into the RAM, and cooperates with the CPU to configure the control unit.

  In addition, this computer program may be stored in the application program server connected to the data extraction apparatus 100 via any network, and all or part of the computer program may be downloaded as necessary. It is.

  Further, the program for executing the processing described in the present embodiment may be stored in a non-temporary computer readable recording medium, or may be configured as a program product. Here, the "recording medium" means a memory card, a universal serial bus (USB) memory, a secure digital (SD) card, a flexible disk, a magneto-optical disk, a ROM, an erasable programmable read only memory (EPROM), and an EEPROM (registration). Trademarks (Electrically Erasable and Programmable Read Only Memory), CD-ROM (Compact Disk Read Only Memory), MO (Magneto-Optical disk), DVD (Digital Versatile Disk), Blu-ray (registered trademark) Disc, etc. It shall include any "portable physical media". Therefore, a recording medium storing a program for executing the processing or processing method as described in the present specification also constitutes the present invention.

  The “program” is a data processing method described in any language or description method, and may be in any format such as source code or binary code. Note that the “program” is not necessarily limited to a single configuration, and achieves its functions in cooperation with a separate configuration represented by a plurality of modules or libraries or a separate program represented by the OS. Including those that do. In each apparatus shown in the embodiment, a known configuration and procedure can be used for a specific configuration and a reading procedure for reading the recording medium, and an installation procedure after the reading.

  The various databases and the like stored in the storage unit 110 are memory devices such as RAM and ROM, fixed disk devices such as hard disks, flexible disks, storage means such as optical disks, etc. Stores programs, tables, databases, files for web pages, etc.

  In addition, the data extraction device 100 may be configured as an information processing device such as a known personal computer or a workstation, or may be configured as an information processing device to which any peripheral device is connected. Further, the data extraction apparatus 100 may be realized by mounting software (including a program or data) which realizes the process described in the present embodiment.

  Furthermore, the specific form of distribution and integration of the devices is not limited to that shown in the drawings, and all or part of them may be functionally or physically in any unit according to various additions or according to functional load. It can be distributed and integrated. That is, the embodiments described above may be implemented in any combination, or the embodiments may be implemented selectively.

  The present invention is particularly useful in improvement work that occurs after data analysis work.

11 input device 12 output device 100 data extraction device 110 storage unit 111 dashboard header information 112 dashboard item information 113 extraction condition information 120 control unit 121 reception unit 122 extraction unit 123 output unit 124 cooperation unit 130 communication interface unit 140 input / output interface Part 200 Linkage System

Claims (7)

A data extraction device comprising a control unit,
The control unit
Reception means for receiving a request for improvement work according to data analysis;
Extracting means for extracting data in which a usage category corresponding to the accepted request is set from a storage device storing various data in which the usage category is set;
Having
A data extraction device characterized by The control unit
It further comprises output means for outputting the extracted data as a file,
The receiving unit receives the request for outputting a file as one of the improvement work.
The extraction unit extracts, from the storage device, data in which a usage category corresponding to the request for file output is set.
The data extraction apparatus according to claim 1, characterized in that The output means outputs a file in an arbitrary data format,
The data extraction apparatus according to claim 2, characterized in that The control unit
The system further comprises cooperation means for requesting an update according to the extracted data in cooperation with another system,
The receiving unit receives the request for updating data of another system as one of the improvement work.
The extraction unit extracts, from the storage device, data in which a usage category corresponding to the request for updating data of another system is set.
The data extraction apparatus according to any one of claims 1 to 3, wherein The storage device further stores data extraction conditions;
The extraction unit extracts data from the storage device based on the extraction condition;
The data extraction device according to any one of claims 1 to 4, characterized in that A data extraction method to be executed by a data extraction device provided with a control unit, comprising:
Executed by the controller
A reception step for receiving a request for improvement work according to data analysis;
An extraction step of extracting data in which a usage category corresponding to the received request is set from a storage device storing various data in which the usage category is set;
Including
A data extraction method characterized by A data extraction program to be executed by a data extraction device provided with a control unit,
For the control unit to execute
A reception step for receiving a request for improvement work according to data analysis;
An extraction step of extracting data in which a usage category corresponding to the received request is set from a storage device storing various data in which the usage category is set;
Including
A data extraction program characterized by

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