JP2022105680A - Data extraction device, data extraction method, and data extraction program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a data extraction device, a data extraction method, and a data extraction program that can reduce a burden of improvement work according to data analysis.

SOLUTION: In an embodiment, when reception means receives various requests for improvement work according to data analysis, item extraction means extracts items for which usage sections corresponding to the received various requests are set out of various items stored in a storage device in which one or more requests are set as usage sections out of various requests. Data extraction means extracts data of items corresponding to the usage sections extracted by the item extraction means out of the data stored in the storage device for each of the various items. Thereby, it becomes possible to reduce a burden of improvement work according to data analysis.

SELECTED DRAWING: Figure 2

COPYRIGHT: (C)2022,JPO&INPIT

Description

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

Conventionally, in a business management system or the like that employs a BI (Business Intelligence) tool, a digital dashboard showing a screen that integrates and displays various data may be used in order to analyze various operations. For example, in Patent Document 1, sales data of each store is collected, and when the change rate of the collected sales data of each store exceeds the reference value set as an index of the increase / decrease rate of the sales data, a notification message is generated. The analysis sheet creation process to be output is disclosed.

Japanese Unexamined Patent Publication No. 2012-128875

However, the conventional technique has a problem that the improvement work according to the data analysis is complicated. For example, after analyzing the sales status and the inventory status of products for each store, the work of ordering the products to the stores with insufficient inventory occurs as the improvement work according to the analysis. In this regard, although the conventional technique analyzes sales data, it does not extract data suitable for improvement work according to the analysis, so that the improvement work according to the data analysis is complicated for the user. Is.

The present invention has been 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 that can reduce the burden of improvement work according to data analysis.

In order to solve the above-mentioned problems and achieve the object, the data extraction device according to the present invention is a receiving means for receiving various requests for improvement work according to data analysis, and any one of the above-mentioned various requests. Of the various items in which one or more requests are set as usage categories and stored in the storage device, the items in which the usage categories corresponding to the various requests received by the receiving means are set are extracted from the storage device. It has an item extraction means and a data extraction means for extracting the data of the item corresponding to the usage category extracted by the item extraction means from the data stored for each of the various items in the storage device.

Further, in order to solve the above-mentioned problems and achieve the object, the data extraction method according to the present invention includes a reception step in which the reception means receives various requests for improvement work according to data analysis, and an item extraction means. However, one or more of the various requests is set as the usage category, and among the various items stored in the storage device, the usage category corresponding to the various requests received in the reception step is An item extraction step for extracting a set item from the storage device, and a data extraction means for the usage category extracted in the item extraction step among the data stored in the storage device for each of the various items. It has a data extraction step for extracting data of the corresponding item.

Further, in order to solve the above-mentioned problems and achieve the object, the data extraction program according to the present invention uses a computer as a receiving means for receiving various requests for improvement work according to data analysis, and the various requests. Among the various items stored in the storage device in which one or more requests are set as the usage category, the item in which the usage category corresponding to the various requests received by the receiving means is set is described above. An item extraction means for extracting from a storage device and a data extraction means for extracting data of an item corresponding to the usage category extracted by the item extraction means from the data stored in the storage device for each of the various items. To function as.

According to the present invention, there is an effect that the burden of improvement work according to data analysis can be reduced.

FIG. 1 is a diagram illustrating an example of improvement work related 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 illustrating information stored in the dashboard header information according to the embodiment. FIG. 3B is a diagram illustrating information stored in the dashboard item information according to the embodiment. FIG. 3C is a diagram illustrating information stored in the extraction condition information according to the embodiment. FIG. 4A is a diagram showing an example of dashboard header information used for the data extraction process according to the embodiment. FIG. 4B is a diagram showing an example of dashboard item information used for the data extraction process according to the embodiment. FIG. 4C is a diagram showing an example of extraction condition information used for the data extraction process according to the embodiment. FIG. 5 is a diagram showing an example of a digital dashboard showing a store sales analysis according to an 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 the data extraction process according to the embodiment.

Hereinafter, embodiments of the data extraction device, the data extraction method, and the data extraction program according to the present invention will be described with reference to the accompanying drawings. The present invention is not limited to the following embodiments.

[Improvement work related to conventional technology]
In the management of stores, etc., analysis work may be performed to analyze the sales status of each store and the inventory status of products. In the analysis work, the situation can be grasped by a system using a digital dashboard that collects sales data, inventory data, etc. of each store and displays a screen that integrates and displays each data. In addition, after such analysis work is performed, it is expected that improvement work will be performed according to the analysis. For example, one of the improvement works is the work of ordering products from a store that is short of inventory.

FIG. 1 is a diagram illustrating an example of improvement work related to the prior art. For example, as shown in FIG. 1, the digital dashboard displays a screen of "store sales analysis" including sales data and inventory data of each store. 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. Will be done. Here, a user such as an administrator performs improvement work (for example, ordering work) based on the number of stocks of each product in each store. In addition, the user presses the "data output" button arranged on the store sales analysis screen to output the store sales analysis information to a file, sees the file output information, and sees the information of each product in each store. It is also possible to carry out improvement work (for example, ordering work) based on the number of stocks.

For example, in the ordering work, data including the store code and store name of the ordering party, the product code and product name of the product to be ordered, the number of orders, and the like are manually created. In the example of FIG. 1, since the number of "T-shirts" in stock at the Shinagawa store is "1", the number of orders for T-shirts at the Shinagawa store is "19", and the number of orders for "cardigans" at the Shinjuku store is "19". Since the number of items in stock is "3", the number of cardigans ordered at the Shinjuku store is "17". As described above, in the prior art, improvement work such as ordering work is manually performed by outputting the analysis data displayed on the screen as it is to a file. Therefore, for the user, the improvement work according to the data analysis is complicated, and it is difficult to swiftly and appropriately perform the action 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 the usage classification corresponding to the request for improvement work according to the data analysis is set from the storage device for storing various data in which the usage classification is set. A data extraction device, a data extraction method, and a data extraction program are provided. Hereinafter, a specific configuration and operation will be described.

[Constitution]
The configuration of the data extraction device 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 device 100 according to the embodiment.

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

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

The communication interface unit 130 connects the data extraction device 100 to the network 1 communicably 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 communicating data with another device via a communication line. Here, the network 1 has a function of connecting the data extraction device 100 and the cooperation system 200 so as to be able to communicate with each other, and is, for example, the Internet, a LAN (Local Area Network), or the like.

An input device 11 and an output device 12 are connected to the input / output interface unit 140. As the output device 12, a speaker or a printer can be used in addition to a monitor (including a home television). In addition to the keyboard, mouse and microphone, the input device 11 can use a monitor that realizes a pointing device function in cooperation with the mouse. In the present embodiment, the output device 12 displays and outputs a digital dashboard.

Various databases, tables, files, and the like are stored in the storage unit 110. A computer program for giving instructions to a CPU (Central Processing Unit) in cooperation with an OS (Operating System) to perform various processes is recorded in the storage unit 110. As the storage unit 110, for example, a memory device such as a RAM (Random Access Memory) or a ROM (Read Only Memory), a fixed disk device such as an HDD (Hard Disk Drive), a flexible disk, an optical disk, or the like can be used.

The storage unit 110 stores various data for which the usage classification is set. The storage unit 110 has dashboard header information 111, dashboard item information 112, and extraction condition information 113 as a database. Of these, the dashboard header information 111 stores information representing the name of the digital dashboard and connection information related to the linked system linked with the data extraction device 100. The dashboard item information 112 stores various data included in the digital dashboard in association with the usage category. The extraction condition information 113 stores information regarding extraction conditions at the time of file output and data extraction for 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, an external storage device connected to the data extraction device 100 may be configured to store various data for which the usage classification is set.

FIG. 3A is a diagram illustrating information stored in the 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 the linkage destination system linked with the data extraction device 100. Information is stored. For example, the dashboard name is "Store Sales Analysis". In this embodiment, an example is taken when an analysis operation using a digital dashboard including sales data of each store is performed. Further, for example, the data linkage destination information is connection information to the linkage system 200. In the present embodiment, a case where improvement work (for example, ordering work) is performed in cooperation with the cooperation system 200 after the analysis work will be taken as an example.

FIG. 3B is a diagram illustrating information stored in the dashboard item information 112 according to the embodiment. As shown in FIG. 3B, various data included in the digital dashboard are stored in the dashboard item information 112 in association with the usage classification. For example, the dashboard item information 112 stores information on a column item, a usage category, an output data category, an output column name, and an output value. Among these, the column item is the information of the column item used in the digital dashboard such as the "store code" that identifies each store. The usage category is information for setting whether to use various data for output to the screen, data output (file output), or data linkage. The data classification at the time of output is information indicating which of the screen value and the preset value is used at the time of data output (file output) and at the time of data linkage. The output time column name is information indicating the item name of the 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 data classification at the time of output is a "preset value".

FIG. 3C is a diagram illustrating information stored in the extraction condition information 113 according to the embodiment. As shown in FIG. 3C, the extraction condition information 113 stores information regarding extraction conditions at the time of data extraction performed at the time of data output (file output) or at the time of data linkage with another system. In this embodiment, an example is given as a condition for extracting data of products corresponding to the number of stocks "10" or less.

The control unit 120 is a CPU or the like that collectively controls the data extraction device 100. The control unit 120 has an internal memory for storing a control program such as an OS, a program that defines various processing procedures, required data, and the like, and performs various information processing based on these stored programs. Run.

The control unit 120 receives from (1) a reception unit 121 that receives requests for improvement work according to data analysis, and (2) a storage device that stores various data for which usage categories are set. The extraction unit 122 that extracts the data for which the usage category corresponding to the request received by the unit 121 is set, (3) the output unit 123 that outputs the data extracted by the extraction unit 122 to a file, and (4) another system. The cooperation unit 124, which requests the update according to the data extracted by the extraction unit 122, is provided in cooperation with the above.

More specifically, the reception unit 121 responds to the display of the digital dashboard regarding the analysis of the sales status and the inventory status of the products for each store, and for the improvement work (for example, ordering work, etc.) according to the analysis. Accept the request. Here, in the present embodiment, there is a case where information regarding the number of ordered products is output (file output) for each store, and data regarding the number of ordered products such as the number of orders in cooperation with other systems such as the linkage system 200. The case of requesting the update of the above will be explained by giving an example of improvement work. For example, the digital dashboard displayed and output to the output device 12 includes a UI (User Interface) for file output and a UI for data linkage. The user operates the UI for file output or data linkage by using the input device 11. As a result, the reception unit 121 receives the request for the improvement work.

The extraction unit 122 extracts from the storage unit 110 the data in which the usage classification corresponding to the request for the improvement work received by the reception unit 121 is set. As mentioned above, the improvement work is file output or data linkage. Therefore, when the request for file output is received by the reception unit 121, the extraction unit 122 extracts the data in which the usage classification corresponding to the file output is set from the storage unit 110. Similarly, when the request for data linkage is received by the reception unit 121, the extraction unit 122 extracts the data in which the usage category corresponding to the data linkage is set from the storage unit 110. When the data is extracted from the storage unit 110, the extraction unit 122 extracts the data from the storage unit 110 based on the information if the information regarding the extraction conditions exists.

The output unit 123 outputs the data extracted by the extraction unit 122 to a file. For example, the output unit 123 has extracted data when a request for file output is received by the reception unit 121 and the data in which the usage classification corresponding to the file output is set by the extraction unit 122 is extracted from the storage unit 110. Is output to a file. The file output by the output unit 123 may be in 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 cooperation unit 124, when the request for data linkage is received by the reception unit 121 and the data for which the usage category corresponding to the data linkage is set is extracted from the storage unit 110 by the extraction unit 122, the communication interface unit 130 The extracted data is transmitted to the cooperation system 200 via the above, and an update according to the data is requested.

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

First, the data used as 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 the data extraction process according to the embodiment. As shown in FIG. 4A, the name of the digital dashboard is the store sales analysis, and the information about the cooperation destination (linkage system 200) at the time of data linkage is the connection information to the database of the ordering system.

FIG. 4B is a diagram showing an example of dashboard item information used for the data extraction process according to the embodiment. As shown in FIG. 4B, the usage categories of the column item "store code" are "data output" and "data linkage". Further, the output data category of the column item "store code" is "screen value", and the output column name is "ordering 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 "supplier store code" and the value on the screen (digital dashboard) is displayed. used.

The usage categories of the column item "store name" are "screen", "data output", and "data linkage". Further, the output data category of the column item "store name" is "screen value", and the output column name is "ordering store name". In other words, the information about the store name is used for display on the screen (digital dashboard), data output (file output), and data linkage, and the column name at the time of output is converted to "ordering store name". The value on the screen (digital dashboard) is used in.

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

The usage categories of the column item "product name" are "screen", "data output", and "data linkage". Further, the output data category of the column item "product name" is "screen value", and the output column name is "product name". In other words, the information about the product name is used for display on the screen (digital dashboard), data output (file output), and data linkage, and the column name at the time of output is used as the "product name" on the screen (digital dashboard). ) Value is used.

The usage category of the column item "sales quantity", the column item "sales amount", and the column item "inventory quantity" is "screen". For these column items, the output data classification, output column name, and output value are not set. In other words, it means that these column items are not used in improvement work such as data output (file output) and data linkage.

The usage categories of the column item "order quantity" are "data output" and "data linkage". Further, the output data category of the column item "order quantity" is "preset value", and the output column name is "order quantity". Further, the output value of the column item "order quantity" is "20-stock quantity". That is, the information regarding 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 it is as the "number of orders", and the value of "20-inventory" is set as a preset value. Is used.

FIG. 4C is a diagram showing an example of extraction condition information used for the data extraction process according to the embodiment. As shown in FIG. 4C, at the time of data output (file output) or 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 showing the store sales analysis according to the embodiment will be described. FIG. 5 is a diagram showing an example of a digital dashboard showing a store sales analysis according to an embodiment.

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

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 outputting a file. That is, when the data output button is pressed, the reception unit 121 receives a request to output data (file output) information regarding the number of ordered products for each store, and the extraction unit 122 also determines the usage classification and extraction conditions. The data is extracted and output to 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 linkage button is pressed, the reception unit 121 receives a request for updating data related to the ordering of products such as the number of orders in cooperation with other systems such as the linkage system 200, and the extraction unit. Data is extracted by 122 based on the usage classification and extraction conditions, and a data update request is transmitted by the cooperation unit 124.

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 in which "data output" is set in the usage category shown in FIG. 4B is output as a file. .. In addition, since the data is extracted based on the extraction conditions, the products (see the shaded areas shown in FIG. 6) that meet the extraction condition “stock quantity is 10 or less” shown in FIG. 4C are shown in FIG. 4B. The output value is set to "20-inventory quantity" and the file is output.

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

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

As shown in FIG. 7, the reception unit 121 determines whether or not the request for improvement work has been accepted (step S101). At this time, the reception unit 121 accepts the request for the improvement work in response to the user operation on the digital dashboard of the store 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 the improvement work is not received (step S101: No), the reception unit 121 is in a state of waiting for acceptance of the request.

When the request for file output is received by the reception unit 121 (step S102: file output), the extraction unit 122 stores data from the storage unit 110 in which the usage classification corresponding to the file output is set according to the extraction conditions. Extract (step S103). After that, the output unit 123 outputs the data extracted by the extraction unit 122 to a file (step S104).

Further, when the request for data linkage is received by the reception unit 121 (step S102: data linkage), the extraction unit 122 sets the usage classification corresponding to the data update of the linkage system 200 according to the extraction conditions. Data is extracted from the storage unit 110 (step S105). After that, the cooperation unit 124 requests the cooperation system 200 to update the data according to the data extracted by the extraction unit 122 (step S106).

As described above, according to the present embodiment, the request for the improvement work required after the analysis work is received, and the data in which the usage category corresponding to the received request is set and the various data in which the usage classification is set are stored. Since it is extracted from the storage device, the burden of improvement work according to the data analysis can be reduced.

Further, according to the present embodiment, since the extracted data is output as a file in response to the request for outputting the file, it is possible to save the trouble of manually generating a file based on the analysis data and perform the analysis work. It is possible to swiftly and appropriately take actions up to the improvement work that occurs later. Further, according to the present embodiment, the extracted data is transmitted to update the data of another 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 swift.・ It can be preferably performed.

Further, according to the present embodiment, since the data for which the usage category is set is extracted from the storage device based on the extraction conditions, it is possible to output the data suitable for the improvement work.

[Other embodiments]
In addition to the above-described embodiments, the present invention may be realized in various different embodiments within the scope of the technical idea described in the claims.

For example, among the processes described in the embodiments, all or part of the processes described as being automatically performed may be manually performed, or the processes described as being manually performed may be performed. All or part of it can be done automatically by a known method.

In addition, processing procedures, control procedures, specific names, information including parameters such as registration data and search conditions for each processing, screen examples, and database configurations shown in this specification and drawings are not specified unless otherwise specified. It can be changed arbitrarily.

Further, with respect to the data extraction device 100, each component shown in the figure is a functional concept and does not necessarily have to be physically configured as shown in the figure.

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

Further, this computer program may be stored in the application program server connected to the data extraction device 100 via an arbitrary network, and all or part of the computer program may be downloaded as needed. Is.

Further, the program for executing the process 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" includes a memory card, a USB (Universal Serial Bus) memory, an SD (Secure Digital) card, a flexible disk, a magneto-optical disk, a ROM, an EPROM (Erasable Programmable Read Only Memory), and an EPROM (registered). 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 medium". Therefore, a recording medium containing a program for executing a process or a process method as described herein also constitutes the present invention.

Further, the "program" is a data processing method described in any language or description method, regardless of the format such as source code or binary code. The "program" is not necessarily limited to a single program, but is distributed as multiple modules or libraries, or achieves its function in cooperation with a separate program represented by the OS. Including what to do. In each device shown in the embodiment, a well-known configuration and procedure can be used for a specific configuration and reading procedure for reading the recording medium, an installation procedure after reading, and the like.

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, and storage means such as optical disks, and are used for various processes and website provision. Stores programs, tables, databases, files for web pages, etc.

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

Furthermore, the specific form of distribution / integration of the device is not limited to the one shown in the figure, and all or part of the device may be functionally or physically in any unit according to various additions or functional loads. It can be distributed and integrated. That is, the above-described embodiments may be arbitrarily combined and implemented, or the embodiments may be selectively implemented.

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 Coordination unit 130 Communication interface unit 140 Input / output interface Department 200 cooperation system

Claims (7)

A reception means that accepts various requests for improvement work according to data analysis,
Among the various requests, one or more of the requests are set as the usage categories, and among the various items stored in the storage device, the usage categories corresponding to the various requests received by the receiving means are set. An item extraction means for extracting the items from the storage device, and
A data extraction means for extracting data of an item corresponding to the usage category extracted by the item extraction means from the data stored for each of the various items in the storage device.
Data extraction device with. Further equipped with an output means for outputting the extracted data to a file,
The receiving means receives the request for outputting a file as one of the improvement work, and receives the request.
The item extraction means extracts from the storage device an item for which a usage category corresponding to the request for file output is set.
The data extraction means extracts the data of the item corresponding to the usage category extracted by the item extraction means from the storage device.
The data extraction device according to claim 1. The output means is to output a file in any data format.
2. The data extraction device according to claim 2. Further equipped with a cooperation means for requesting an update according to the extracted data in cooperation with another system.
The receiving means receives the request for updating the data of another system as one of the improvement work, and receives the request.
The item extraction means extracts from the storage device an item for which a usage category corresponding to the request for updating data of another system is set.
The data extraction means extracts the data of the item corresponding to the usage category extracted by the item extraction means from the storage device.
The data extraction device according to any one of claims 1 to 3, wherein the data extraction device is characterized. The storage device further stores the data extraction conditions, and the storage device further stores the data extraction conditions.
The data extraction means extracts data from the storage device based on the extraction conditions.
The data extraction device according to any one of claims 1 to 4, wherein the data extraction device is characterized. A reception step in which the reception means accepts various requests for improvement work according to data analysis,
The item extraction means corresponds to the various requests received in the reception step among the various items stored in the storage device in which one or more of the various requests are set as the usage category. An item extraction step for extracting an item for which a usage category is set from the storage device, and
A data extraction step in which the data extraction means extracts data of an item corresponding to the usage category extracted in the item extraction step from the data stored in the storage device for each of the various items.
Data extraction method. Computer,
A reception means that accepts various requests for improvement work according to data analysis,
One or more of the various requests are set as usage categories, and among the various items stored in the storage device, the usage categories corresponding to the various requests received by the receiving means are set. An item extraction means for extracting the items from the storage device, and
To make the storage device function as a data extraction means for extracting the data of the item corresponding to the usage category extracted by the item extraction means among the data stored for each of the various items.
A data extraction program featuring.

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