JP7300039B2 - Data extraction device, data extraction method and data extraction program - Google Patents

Description

The present invention relates to a data extraction device, data extraction method and 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 rate of change in the collected sales data of each store exceeds a reference value set as an indicator of the rate of change in sales data, a notification text is generated. Analysis sheet creation processing for outputting by

JP 2012-128875 A

However, the conventional technology has a problem that improvement work according to data analysis is complicated. For example, after analyzing the sales status of each store and the inventory status of merchandise, an improvement operation based on the analysis involves placing orders for merchandise to stores with insufficient inventory. In this respect, although the conventional technology analyzes the sales data, it does not extract the data suitable for the improvement work according to the analysis, so the improvement work according to the data analysis is complicated for the user. is.

SUMMARY OF THE INVENTION It is an object of the present invention to provide a data extracting device, a data extracting method, and a data extracting program that can reduce the burden of improvement work according to data analysis.

In order to solve the above-described problems and achieve the object, a data extracting apparatus according to the present invention includes accepting means for accepting a data extraction request according to data analysis; item extracting means for extracting from the storage device an item for which a usage classification corresponding to the data extraction request received by the means is set; Coordinating data extraction means for extracting data of items corresponding to the usage category extracted by the extraction means, output means for outputting the extracted data to a file, and updating according to the extracted data and at least one means of cooperation means for making a request to the system .

Further, in order to solve the above-mentioned problems and achieve the object, the data extraction method according to the present invention includes : an item extracting step for extracting from the storage device , among the various items stored in the storage device, an item for which a usage classification corresponding to the data extraction request received in the receiving step is set; a data extraction step for extracting data of items corresponding to the use categories extracted in the item extraction step from among the data stored for each of the various items; and an output means for storing the extracted data in a file. At least one of an output step of outputting data and a linking step of requesting another linked system to update according to the extracted data.

In order to solve the above-described problems and achieve the object, a data extraction program according to the present invention provides a computer with receiving means for receiving data extraction requests according to data analysis and various items stored in a storage device. item extracting means for extracting from the storage device items for which the use category corresponding to the data extraction request received by the receiving means is set; and data stored in the storage device for each of the various items Data extracting means for extracting data of items corresponding to the usage category extracted by the item extracting means , output means for outputting the extracted data to a file, and updating according to the extracted data functions as at least one means of cooperation means for requesting other systems to cooperate with each other.

ADVANTAGE OF THE INVENTION According to this invention, it is effective in the ability 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 conventional technology. FIG. 2 is a block diagram showing a configuration example of the data extraction device according to the embodiment. FIG. 3A is a diagram explaining information stored in dashboard header information according to the embodiment. FIG. 3B is a diagram explaining information stored in dashboard item information according to the embodiment. FIG. 3C is a diagram 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 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 illustrating an example of the flow of data extraction processing according to the embodiment.

Embodiments of a data extracting device, a data extracting method, and a data extracting program according to the present invention will be described below with reference to the accompanying drawings. In addition, the present invention is not limited by the following embodiments.

[Improvement work related to conventional technology]
2. Description of the Related Art In the management of stores, there are cases where analysis work is performed to analyze the sales status and product inventory status of each store. In the analysis work, sales data, inventory data, etc. of each store are collected, and the situation can be grasped by a system using a digital dashboard that shows a screen that integrates and displays each data. Further, after such analysis work is performed, it is assumed that improvement work will be performed according to the analysis. For example, one of the improvement tasks is the work of ordering products to stores that are short of inventory.

FIG. 1 is a diagram for explaining an example of improvement work according to conventional technology. For example, as shown in FIG. 1, the digital dashboard displays a "store sales analysis" screen that includes sales data and inventory data for each store. In detail, the store sales analysis screen displays the store name of each store, the product name of each product, the number of sales of each product, the amount of sales of each product, and the number of inventories of each product. be done. Here, a user such as a manager performs improvement work (for example, ordering work) based on the inventory quantity of each product in each store. In addition, by pressing the "data output" button placed on the store sales analysis screen, the user can output the information of the store sales analysis to a file, look at the file output information, and the product of each store. Improvement work (for example, ordering work) can also be performed based on the inventory quantity.

For example, in 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, etc. is manually created. In the example of FIG. 1, since the inventory quantity of "T-shirt" which is the product of the Shinagawa store is "1", the number of ordered T-shirts of the Shinagawa store is assumed to be "19", and the product of the Shinjuku store is "cardigan". is "3", the number of orders for cardigans at the Shinjuku store is "17". As described above, in the prior art, the data for analysis displayed on the screen is output as a file as it is, and improvement work such as ordering work is performed manually. For this reason, the improvement work according to the data analysis is complicated for the user, and it is difficult for the user to quickly and suitably perform 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 to which a usage category corresponding to a request for improvement work according to data analysis is extracted from a storage device that stores various data to which a usage category is set An extraction device, a data extraction method and a data extraction program are provided. Specific configurations and operations will be described below.

[composition]
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. Note that 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 smart phone, a tablet personal computer, or the like. type information processing apparatus.

As shown in FIG. 2, the data extraction device 100 has 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 device 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. 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 connecting the data extraction device 100 and the cooperation system 200 so that they can communicate with each other, and is, for example, the Internet or a LAN (Local Area Network).

The input/output interface section 140 is connected to the input device 11 and the output device 12 . The output device 12 can be a monitor (including a home television), a speaker, or a printer. The input device 11 can be a keyboard, a mouse, a microphone, or a monitor that realizes a pointing device function in cooperation with a mouse. In the present embodiment, the output device 12 displays and outputs a digital dashboard.

The storage unit 110 stores various databases, tables, files, and the like. The storage unit 110 stores a computer program for performing various processes by giving commands to a CPU (Central Processing Unit) in cooperation with an OS (Operating System). As the storage unit 110, for example, a memory device such as RAM (Random Access Memory) or ROM (Read Only Memory), a fixed disk device such as 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 use categories are set. The storage unit 110 has dashboard header information 111, dashboard item information 112, and extraction condition information 113 as a database. Among these, the dashboard header information 111 stores information representing the name of the digital dashboard and connection information regarding the system of the cooperation destination that cooperates with the data extraction device 100 . The dashboard item information 112 stores various data included in the digital dashboard in association with usage categories. The extraction condition information 113 stores information on extraction conditions when extracting data for file output and cooperation with other systems. Note that 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 extracting device 100 may be configured to store various types of data for which usage classifications are set.

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

FIG. 3B is a diagram explaining information stored in the 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 usage categories. For example, the dashboard item information 112 stores information on column items, usage classifications, output data classifications, output column names, and output values. Among these, column items are column item information used in the digital dashboard, such as a "store code" that identifies each store. The use category is information for setting which of output to the screen, data output (file output), and data linkage is used for each type of data. The output data classification is information indicating whether to use a screen value or a preset value at the time of data output (file output) or 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 data linkage. The output value is a value used when the data classification at output is "preset value".

FIG. 3C is a diagram 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 about extraction conditions for extracting data when outputting data (file output) or when data is linked with another system. In the present embodiment, the condition for extracting the data of the product whose stock quantity is "10" or less is taken 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 a control program such as an OS, a program defining various processing procedures, required data, and the like, and performs various information processing based on these stored programs. Execute.

Functionally, the control unit 120 receives requests from (1) a receiving unit 121 that receives requests for improvement work according to data analysis, and (2) a storage device that stores various types of data to which use classifications are set. (3) an output unit 123 that outputs the data extracted by the extraction unit 122 as a file; and (4) another system. and a linking unit 124 that requests update according to the data extracted by the extracting unit 122 in cooperation with the extracting unit 122 .

More specifically, the reception unit 121, in response to the display of the digital dashboard related to the analysis of the sales status of each store and the inventory status of the product, asks for improvement work (for example, ordering work, etc.) according to the analysis. accept requests. Here, in the present embodiment, in the case of outputting data (file output) of information on the number of ordered products for each store, and in cooperation with other systems such as the cooperation system 200, data on ordering of products such as the number of ordered products The case of requesting the update of is described as an example of improvement work. For example, the digital dashboard displayed 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. As a result, the reception unit 121 receives the request for improvement work.

The extraction unit 122 extracts from the storage unit 110 the data in which the use category corresponding to the request for improvement work received by the reception 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 the data for which the use category corresponding to the file output is set. Similarly, when the receiving unit 121 receives a data linking request, the extracting unit 122 extracts from the storage unit 110 data for which a usage classification corresponding to data linking is set. When extracting data from the storage unit 110, the extracting unit 122 extracts data from the storage unit 110 based on the information if there is information about extraction conditions.

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, and the extracting unit 122 extracts from the storage unit 110 data for which a usage category corresponding to file output is set, the output unit 123 outputs the extracted data. 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, when the receiving unit 121 receives a request for data cooperation and the extracting unit 122 extracts from the storage unit 110 data for which a usage category corresponding to data cooperation is set, the cooperation unit 124 allows the communication interface unit 130 , the extracted data is sent to the cooperation system 200, and an update corresponding to the data is requested.

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

First, data used in specific examples of data extraction processing 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 store sales analysis, and the information about the link destination (linkage system 200) at the time of data linking is connection information to the ordering system database.

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 category of the column item "store code" is "data output" and "data linkage". In addition, the output data classification of the column item "store code" is "screen value", and the output column name is "order destination 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 "order destination store code" and the value on the screen (digital dashboard) is used.

The usage categories of the column item "store name" are "screen", "data output", and "data linkage". In addition, the output data category of the column item "store name" is "screen value", and the output column name is "order destination 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 screen (digital dashboard) value is used.

The usage categories of the column item "product code" are "data output" and "data linkage". In addition, the output time data classification of the column item "product code" is "screen value", and the output time column name is "product code". In other words, the information about the product code is used in data output (file output) and data linkage, and the value of the screen (digital dashboard) is used with the column name at the time of output as the "product code" as it is.

The usage categories of the column item "product name" are "screen", "data output", and "data linkage". In addition, the output data classification of the column item "product name" is "screen value", and the output time column name is "product name". In other words, information related to the product name is used for display on the screen (digital dashboard), data output (file output), and data linkage. ) 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, output data classification, output column name, and output value are not set. In other words, these column items are not used in improvement operations such as data output (file output) and data linkage.

The usage categories of the column item "number of orders" are "data output" and "data linkage". In addition, the output time data classification of the column item "order quantity" is "preset value", and the output time column name is "order quantity". Furthermore, the output value of the column item "number of orders" is "20-number of stocks". In other words, 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 it is as "number of orders", and the value set in advance is "20 - number of stock" 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 (file output) or data linkage, data extraction is performed based on the extraction condition that "the number of items in stock is 10 or less".

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

As shown in FIG. 5, the storage unit 110 stores data relating to store codes, store names, product codes, product names, sales numbers, sales amounts, inventory numbers, and order numbers. Here, on the digital dashboard of the store sales analysis, each of the data of the column items enclosed by the dashed lines for which "screen" is set in the usage classification shown in FIG. 4B is displayed and output. Also, 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 link" button and a "data output" button. A 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 for data output (file output) of information on the number of ordered products for each store, and the extraction unit 122 extracts usage categories and extraction conditions. The data is then extracted and output as a file by the output unit 123 .

Also, the data linkage button is used when requesting data update of the linkage system 200 . In other words, when the data link button is pressed, the request for updating the data related to the ordering of products such as the number of orders is received by the receiving unit 121 in cooperation with other systems such as the linking system 200, and the extracting unit Data is extracted by 122 based on the usage category and extraction conditions, and a data update request is transmitted by the linking unit 124 .

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, each of the data in the column items surrounded by dashed lines whose use classification shown in FIG. 4B is set to "data output" is output to 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 match the extraction condition “inventory quantity is 10 or less” shown in FIG. 4C are shown in FIG. 4B. The file is output as the output value "20-inventory quantity".

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

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

As shown in FIG. 7, the receiving unit 121 determines whether or not a request for improvement work has been received (step S101). At this time, the reception unit 121 receives a request for improvement work according to a user operation on the digital dashboard for store sales analysis (step S101: Yes). A request for improvement work is data output (file output) or data linkage. On the other hand, when a request for improvement work has not been received (step S101: No), the receiving unit 121 waits for the request.

When the request for file output is received by the receiving unit 121 (Step S102: file output), the extracting unit 122 extracts the data with the usage classification corresponding to the file output from the storage unit 110 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 receiving unit 121 receives a request for data linkage (step S102: data linkage), the extracting unit 122 sets a usage classification corresponding to data update of the linkage 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 an analysis work is received, and data with a use classification corresponding to the received request is stored, and various data with a use classification is set. Since the data is extracted from the storage device, it is possible to reduce the burden of improvement work according to the data analysis.

In addition, according to the present embodiment, the extracted data is output as a file in response to a request for file output. Actions up to improvement work that will occur later can be taken quickly and favorably. In addition, according to the present embodiment, the extracted data is transmitted to update the data of the other system in response to a request for data linkage, so that the actions up to the improvement work occurring after the analysis work can be performed quickly.・It can be done conveniently.

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

[Other embodiments]
The present invention may be realized in various different embodiments other than the embodiments described above 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 can be manually performed, or the processes described as being performed manually can be performed manually. All or part of this can also be done automatically by known methods.

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

Further, regarding the data extracting device 100, each illustrated component is functionally conceptual, and does not necessarily need to be physically configured as illustrated.

For example, the processing functions provided by the data extraction device 100, particularly the processing functions executed by the control unit 120, are implemented in whole or in part by a CPU and a program interpreted and executed by the CPU. Alternatively, it may be implemented as hardware using wired logic. The program is recorded on a non-temporary computer-readable recording medium containing programmed instructions for causing the information processing apparatus to execute the processing described in the present embodiment, and data extraction is performed as necessary. It is read mechanically by the device 100 . That is, a storage unit such as a ROM or HDD stores a computer program for giving commands to the CPU in cooperation with the OS to perform various processes. This computer program is executed by being loaded into the RAM and constitutes a control section in cooperation with the CPU.

Also, this computer program may be stored in an application program server connected to the data extraction device 100 via any network, and it is possible to download all or part of it as necessary. is.

Also, 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, this "recording medium" means memory card, USB (Universal Serial Bus) memory, SD (Secure Digital) card, flexible disk, magneto-optical disk, ROM, EPROM (Erasable Programmable Read Only Memory), EEPROM (registered Trademark) (Electrically Erasable and Programmable Read Only Memory), CD-ROM (Compact Disk Read Only Memory), MO (Magneto-Optical disk), DVD (Digital Versatile Disk), and Blu-ray (registered trademark) Disc, etc. shall include any "portable physical medium". Therefore, a recording medium storing a program for executing the processing or processing method described in this specification also constitutes the present invention.

A "program" is a data processing method written in any language or writing method, regardless of the format such as source code or binary code. In addition, the "program" is not necessarily limited to a single structure, but is distributed as a plurality of modules or libraries, or cooperates with a separate program represented by the OS to achieve its function. including those that In each device shown in the embodiments, well-known configurations and procedures can be used for the specific configuration and reading procedure for reading the recording medium, the installation procedure after reading, and the like.

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

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 arbitrary peripheral devices are connected. Further, the data extraction device 100 may be implemented by installing software (including programs, data, etc.) that implements the processing described in the present embodiment.

Furthermore, the specific form of distribution and integration of the device is not limited to the one shown in the figure, and all or part of it can be functionally or physically arranged in arbitrary units according to various additions or functional loads. It can be distributed and integrated. In other words, the embodiments described above 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 cooperation unit 130 communication interface unit 140 input/output interface Part 200 Coordination system

Claims (7)

receiving means for receiving a data extraction request according to data analysis;
item extracting means for extracting from the storage device, among various items stored in the storage device, items for which a use classification corresponding to the data extraction request received by the receiving means is set;
data extracting means for extracting, from among the data stored for each of the various items in the storage device, data of items corresponding to the use categories extracted by the item extracting means;
at least one means of output means for outputting the extracted data to a file, and cooperation means for requesting other cooperating systems to update according to the extracted data;
A data extractor having a The storage device further stores extraction conditions for data extraction for at least one of file output and cooperation with other systems,
said data extraction means extracting data corresponding to said extraction condition from said storage device;
The data extraction device according to claim 1, characterized by : The data is the number of products in stock,
The extraction condition is an extraction condition indicating extraction of data below a predetermined number of stocks,
the data extracting means extracting data of a predetermined stock quantity or less based on the extraction condition;
3. The data extraction device according to claim 2, characterized by: In the case where the output means is provided, the output means outputs a file containing a subtracted value obtained by subtracting the stock quantity from a preset value;
4. The data extraction device according to claim 3, characterized by: The output means outputs a file in any data format;
5. The data extraction device according to claim 4, characterized by: a receiving step in which the receiving means receives a data extraction request according to the data analysis;
an item extracting step in which an item extracting means extracts from the storage device, among various items stored in the storage device, an item for which a use classification corresponding to the data extraction request received in the receiving step is set;
a data extracting step in which the data extracting means extracts, from among the data stored for each of the various items in the storage device, the data of the item corresponding to the use category extracted in the item extracting step;
At least one step of an output step in which the output means outputs the extracted data to a file, and a cooperation step in which the cooperation means requests another system to be linked to update according to the extracted data. ,
A data extraction method comprising: the computer,
receiving means for receiving a data extraction request according to data analysis;
an item extracting means for extracting from the storage device, among various items stored in the storage device, items for which a use classification corresponding to the data extraction request received by the receiving means is set;
data extracting means for extracting, from among the data stored for each of the various items in the storage device, data of items corresponding to the use categories extracted by the item extracting means ;
functioning as at least one of an output means for outputting the extracted data as a file and a linking means for requesting another linked system to update according to the extracted data;
A data extraction program characterized by:

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