Data analysis device, data analysis method, and data analysis program

Abstract

This enables accurate analysis of travelers who stayed in the target region. [Solution] The data analysis device 100 uses the user's location information to identify the travel route taken by the user. The data analysis device 100 accepts specified conditions based on the user's attribute information. The data analysis device 100 outputs the travel routes that satisfy the specified conditions from among the travel routes for each user.

Description

Technical Field

[0001] The present invention relates to a data analysis device, a data analysis method, and a data analysis program.

Background Art

[0002] In recent years, "Tourism DX" has been proposed to promote the DX (Digital Transformation) in the tourism field while utilizing advanced technologies, aiming to improve the convenience of tourists and promote their travel around, improve the productivity of the tourism industry, and enhance the management of tourist destinations. In Tourism DX, efforts are made to improve business efficiency and add high value to services by introducing systems related to accommodation, and to conduct marketing and formulate strategies for tourist destination management using data such as reservation, movement, accommodation, and purchase data of tourists.

[0003] In Tourism DX, various measures for regional revitalization are carried out. When implementing the measures, it is necessary to collect and visualize various data in order to conduct pre-investigations, hypothesis verifications, scrutiny of implementation methods, and social implementation.

[0004] For example, as a conventional technology, there is known a technology that generates travel trend data in an analysis target area based on the location history information and attribute information of a plurality of travelers (tourists) and analysis indicators, and visually displays the travel trends on a map, enabling the grasping of the travel trends of a plurality of travelers (tourists) (see, for example, Patent Document 1).

Prior Art Documents

Patent Documents

[0005]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0006] However, the conventional technologies described above sometimes make it difficult to properly analyze tourists who stay in a target area. For example, conventional technologies visualize the travel movements of tourists based on their location and attribute information. However, conventional technologies only visualize travel movements for each mesh included in a pre-defined map, and there are challenges in performing analysis based on the points of stay, duration of stay, and attributes of tourists for each route they traveled. [Means for solving the problem]

[0007] Therefore, in order to solve the above-mentioned problems and achieve the objective, the data analysis device of the present invention is characterized by having: an identification unit that identifies a sightseeing route, which is the route traveled by the user, using the user's location information; a reception unit that accepts specified conditions based on the user's attribute information; and an output unit that outputs a sightseeing route that satisfies the specified conditions from among the sightseeing routes for each user. [Effects of the Invention]

[0008] The present invention has the effect of enabling appropriate analysis of tourists (users) who stayed in a target area. [Brief explanation of the drawing]

[0009] [Figure 1] Figure 1 is a diagram illustrating the overall processing of the data analysis device according to the embodiment. [Figure 2] Figure 2 shows the configuration of a data analysis device according to an embodiment. [Figure 3] Figure 3 is a table diagram showing an example of tourist information according to the embodiment. [Figure 4] Figure 4 shows an example of a display screen according to the embodiment. [Figure 5] Figure 5 shows an example of a display screen according to the embodiment. [Figure 6] Figure 6 shows an example of a display screen according to the present invention. [Figure 7] FIG. 7 is a diagram showing an example of a display screen according to an embodiment. [Figure 8] FIG. 8 is a diagram showing an example of a display screen according to an embodiment. [Figure 9] FIG. 9 is a diagram showing an example of a display screen according to an embodiment. [Figure 10] FIG. 10 is a diagram showing an example of a display screen according to an embodiment. [Figure 11] FIG. 11 is a diagram showing an example of a display screen according to an embodiment. [Figure 12] FIG. 12 is a diagram showing an example of a display screen according to an embodiment. [Figure 13] FIG. 13 is a diagram showing an example of a display screen according to an embodiment. [Figure 14] FIG. 14 is a diagram showing an example of a display screen according to an embodiment. [Figure 15] FIG. 15 is a diagram showing an example of a display screen according to an embodiment. [Figure 16] FIG. 16 is a diagram showing an example of a display screen according to an embodiment. [Figure 17] FIG. 17 is a diagram showing an example of a display screen according to an embodiment. [Figure 18] FIG. 18 is a diagram showing an example of a display screen according to an embodiment. [Figure 19] FIG. 19 is a diagram showing a flowchart of processing by a data analysis device according to an embodiment. [Figure 20] FIG. 20 is a diagram showing an example of a computer that realizes a data analysis device according to an embodiment.

Embodiments for Carrying Out the Invention

[0010] Hereinafter, embodiments for carrying out the present invention (hereinafter referred to as "embodiments") will be described with reference to the drawings. Note that each embodiment is not limited to the content described below.

[0011] <Overall Outline> (Background) In recent years, "Tourism DX" has been promoted to improve the convenience for tourists and promote their travel around, enhance the productivity of the tourism industry, and upgrade the management of tourist destinations. In Tourism DX, various measures for regional revitalization are being implemented.

[0012] When implementing measures in Tourism DX, it is necessary to collect and visualize various data in order to conduct pre-surveys, hypothesis verification, scrutiny of implementation methods, social implementation, etc. Therefore, as a reference technology, there is a technology that enables the grasp of the travel trends of multiple tourists by displaying the movement data of tourists on a map.

[0013] However, since the reference technology is a technology for visualizing travel trends for each mesh included in a preset map, there are issues in conducting analysis based on the locations where tourists stayed, the stay times, the attributes of tourists, etc. for each pinpoint location where tourists stayed.

[0014] (Processing by data analysis device 100) Therefore, the data analysis device 100 according to the present embodiment identifies a route that satisfies the conditions among the routes traveled by a user (such as a tourist) as a tour route, and outputs predetermined analysis data for the tour route, thereby solving the above-described issues. In the present embodiment, the "user" includes cyclists in the target area, tourists (customers) to the target area, travelers (customers), people located in the target area, etc., and is not particularly limited. Also, in the present embodiment, hereinafter, the user will be referred to as a "tourist" as an example.

[0015] From here, the overall image of the processing of the data analysis device 100 according to the present embodiment will be described using FIG. 1. FIG. 1 is a diagram for explaining the overall image of the processing of the data analysis device 100 according to the present embodiment.

[0016] First, the data analysis device 100 uses the tourist's location information (Figure 1 (1-1)) to identify the sightseeing route, which is the route the tourist traveled (Figure 1 (1-2)). The tourist's location information is acquired based on GPS (Global Positioning System) or the like via an application installed on a terminal device such as a smartphone operated by the tourist (Figure 1 (1-3)).

[0017] The data analysis device 100 accepts specified conditions based on tourist attribute information (Figure 1 (2-1)). For example, the data analysis device 100 accepts input of specified conditions such as tourist attribute information, number of accompanying persons, length of stay at the destination, area, date of visit by the tourist, and weather from a terminal device 400 operated by the person in charge of analysis (hereinafter sometimes simply referred to as "person in charge").

[0018] The data analysis device 100 narrows down the sightseeing routes identified based on the specified conditions received (Figure 1 (2-2)). For example, the data analysis device 100 narrows down the sightseeing routes to be displayed based on specified conditions such as tourist attribute information, number of companions, length of stay at each location, area, date of visit by the tourist, and weather.

[0019] The data analysis device 100 then outputs the sightseeing routes that meet the specified conditions from among the sightseeing routes for each tourist to the terminal device 400, etc. (Figure 1 (3)).

[0020] In this way, the data analysis device 100 according to this embodiment outputs the sightseeing route, which is the movement trajectory of the tourists, to the person in charge of analysis (hereinafter sometimes simply referred to as "person in charge"), thereby enabling the analysis of the travel behavior of tourists at each place of stay.

[0021] <Description of data analysis device 100> The configuration of the data analysis device 100 according to this embodiment will now be described. Figure 2 is a diagram showing the configuration of the data analysis device 100 according to this embodiment. As shown in Figure 2, the data analysis device 100 has a communication unit 110, a storage unit 120, and a control unit 130.

[0022] Although not shown in Figure 2, the data analysis device 100 may be equipped with an input unit such as a keyboard or mouse to receive input such as operations from the person in charge. The data analysis device 100 may also be equipped with a display unit such as a display to show the person in charge the analysis data, including the extraction results of stay locations and travel routes based on specified conditions.

[0023] (Communications Department 110) The communication unit 110 performs data communication related to the input of tourist location information and specified conditions. The communication unit 110 also performs data communication related to the output of analysis data, including the extraction results of stay locations and sightseeing routes based on the specified conditions. The communication unit 110 is implemented using a NIC (Network Interface Card), etc., and controls communication via telecommunication lines such as a LAN (Local Area Network) or the Internet. Furthermore, the communication unit 110 is connected to the network via wired or wireless connections as needed, and can send and receive information bidirectionally with applications 200, servers 300, terminal devices 400, etc.

[0024] (Storage unit 120) The storage unit 120 stores data and programs used for various processes performed by the control unit 130, as well as various data acquired through the operation of the control unit 130. The storage unit 120 is implemented using semiconductor memory elements such as RAM (Random Access Memory) or flash memory, or storage devices such as hard disks or optical discs.

[0025] As shown in Figure 2, the memory unit 120 has a tourist information database 121. In addition to tourist information stored in the tourist information database 121, the memory unit 120 also stores map information related to the target area, weather information, and information about spots that tourists visit in the target area.

[0026] (Tourist Information DB121) The Tourist Information DB121 is a database that stores information (tourist information) about tourists (users) who have visited the target region. Here, an example of tourist information stored in the Tourist Information DB121 will be explained using Figure 3. Figure 3 is a table diagram showing an example of tourist information according to the embodiment.

[0027] As shown in Figure 3, the tourist information DB121 stores the date and time, individual tourist information, reservation information, GPS log, start / end point, viewing time, SNS (Social Networking Service) click count, hobbies and preferences, visited spots, and push notifications in list format, etc., associated with "No," which is information that identifies individual tourist data. From here, we will explain with an example the contents stored in each item shown in Figure 3. Note that the information contained in each item is stored in a state in which information that could identify a tourist has been deleted or replaced.

[0028] Date and time information includes details about the date and time the tourist visited the target area, such as the start time of using an application launched by the tourist in the target area. Individual tourist information includes attribute information about the tourist, such as the tourist's gender and age (gender and age), nationality, companions, place of residence, whether it is a repeat visit to the area, companion attributes, and number of companions. Interests include details about the tourist's personal preferences, such as information about food and drink, regions, activities, climate, seasons, etc.

[0029] Reservation information includes details about reservations for transportation devices (such as rental bicycles) that tourists wish to rent in the target area, such as reservation application information for rental bicycles, the type of rental bicycle, and the rental time.

[0030] GPS logs include information about the location of tourists in the target area, obtained by GPS, such as periodically recorded location information of places they have moved to. Start / end points include information about the point where a tourist started and ended their movement in the target area, such as the location information of the point where the tourist started using the application (launched the application) and the location information of the point where they ended using the application (closed the application).

[0031] Viewing time refers to information about the time tourists spend using the application. SNS click count refers to the number of clicks on designated objects in online social networking services (SNS) displayed via the tourist's device, or within SNS embedded in the application. Viewed spots refer to the history of content introducing local spots viewed by tourists through the application. Push notifications include the number of recommendations and other notifications sent to tourists via the application, as well as the number of responses to those notifications.

[0032] (Control unit 130) Returning to Figure 2, let's continue the explanation. The control unit 130 has an internal memory for temporarily storing programs that define various processing procedures for the data analysis device 100 and processing data, and is realized by electronic circuits such as a CPU (Central Processing Unit) and an MPU (Micro Processing Unit), and integrated circuits such as an ASIC (Application Specific Integrated Circuit) and an FPGA (Field Programmable Gate Array). As shown in Figure 2, the control unit 130 has an acquisition unit 131, a identification unit 132, a reception unit 133, an extraction unit 134, and an output unit 135.

[0033] (Acquisition part 131) The acquisition unit 131 acquires user information (tourist information), including the user's location information, after excluding personally identifiable information from external devices such as the application 200 and the server 300. The acquisition unit 131 can exclude personally identifiable information based on known techniques such as deleting personally identifiable information or replacing it with other characters (for example, acquiring age by age group instead of actual age, or acquiring place of residence by prefecture).

[0034] Specifically, the acquisition unit 131 acquires tourist information registered via the application 200, as well as tourist location information collected by the application, and stores it in the tourist information DB 121. The acquisition unit 131 also acquires SNS browsing history information, including SNS click counts, as well as map information, weather information, and spot-related information for the target area from an external server 300, and stores it in the storage unit 120.

[0035] (Specific Section 132) The identification unit 132 uses the tourist's location information to identify the location where the tourist stayed for a predetermined period of time, and the sightseeing route the tourist took. Specifically, the identification unit 132 uses GPS logs stored in the tourist information DB 121 to identify the location where the tourist stayed for a predetermined period of time as the "time of stay".

[0036] Furthermore, the identification unit 132 uses the GPS log stored in the tourist information DB 121 and the start / end points to identify the tourist's travel path as a sightseeing route. For example, the identification unit 132 uses the tourist's GPS information to identify the route the tourist took. Next, the identification unit 132 identifies the tourist's sightseeing route from the identified route, using the point where the tourist launched the application as the start point and the point where the application was terminated as the end point, and the area included between the start and end points as the tourist's sightseeing route.

[0037] (Reception desk 133) The reception unit 133 accepts specified conditions for narrowing down destinations and sightseeing routes, based on at least one of the following: tourist attribute information, tourist length of stay, and information related to the target area, which are entered by the staff member via a screen displayed on a terminal device 400 operated by the staff member.

[0038] For example, the reception unit 133 accepts specified conditions such as the length of stay of tourists in the target area, the age, gender, nationality, place of residence, attributes of accompanying persons, number of accompanying persons, and interests of tourists. The reception unit 133 also accepts specified conditions based on information related to the target area, such as area, spot name, time series (timestamp, etc.), and weather (temperature, precipitation, etc.).

[0039] (Extraction part 134) The extraction unit 134 extracts stay locations or sightseeing routes that satisfy the specified conditions based on the conditions received by the reception unit 133. The extraction unit 134 then transmits the extraction results, including the extracted stay locations and sightseeing routes, to the output unit 135.

[0040] (Output section 135) The output unit 135 outputs analysis data based on the extraction results transmitted by the extraction unit 134. Specifically, the output unit 135 outputs the locations where each tourist stayed that meet the specified conditions. In addition, the output unit 135 outputs the sightseeing routes where each tourist traveled that meet the specified conditions. The analysis data includes not only the extraction results from the extraction unit 134 as described above, but also the results of the locations where tourists stayed and sightseeing routes being aggregated by the output unit 135 based on predetermined conditions.

[0041] (Example of display screen) From here, an example of a display screen output by the output unit 135 will be described using Figures 4 to 18. Figures 4 to 18 are diagrams showing an example of a display screen according to the embodiment.

[0042] First, the display items related to the display screen output by the output unit 135, and examples of the display screen, will be explained using Figures 4 to 6. Figure 4 is an example of a display screen related to the overall summary. Figure 5 is an example of a display screen related to the category summary. Figure 6 is an example of a display screen related to the individual analysis.

[0043] As shown in Figure 4, the output unit 135 displays the analysis data (the screen in the area shown in (1) of Figure 4). The contents of the analysis data shown in (1) of Figure 4 will be explained in the section related to Figure 7 below.

[0044] As shown in Figure 5, the output unit 135 displays a screen (the area shown in (1) of Figure 5) that accepts specified conditions, such as the date and time to be displayed, from the operator based on their operation, and the analysis data (the area shown in (2) of Figure 5). The contents of the analysis data shown in (2) of Figure 5 will be explained individually in the items related to Figures 9, 11, 13, 16, and 18 below.

[0045] As shown in Figure 6, the output unit 135 displays a screen (the area shown in (1) of Figure 6) that accepts specified conditions (such as spatial (area specification), time series (visit date, visit time, etc.), weather, tourist information, etc.) that are entered by the person in charge based on operations performed by the person in charge, and a data display screen (the area shown in (2) of Figure 6) that displays the results of analysis data related to individual analysis, including the visit locations or tour routes for each tourist, based on the specified conditions.

[0046] For example, the output unit 135 plots and outputs on the data display screen any stay locations or travel routes that satisfy at least one of the specified conditions related to area, spot, time series, or weather, which are included in the information about the target region received by the reception unit 133.

[0047] As an example, the output unit 135 outputs a display screen showing the locations of stay or sightseeing routes of tourists who stayed in areas further subdivided from the target region, based on the "area" specification mentioned above. The output unit 135 also outputs a display screen showing the locations of stay or sightseeing routes of tourists who stayed in the target viewing spots (spots where sightseeing takes place), based on the "spot" specification mentioned above. The output unit 135 also outputs a display screen showing the locations of stay or sightseeing routes of tourists who stayed in the target region during the target period (Monday, Tuesday, time slot, day of the week, etc.), based on the "time series" specification mentioned above. Furthermore, the output unit 135 outputs a display screen showing the locations of stay or sightseeing routes of tourists when the target region has a specified temperature or precipitation, based on the "weather" specification mentioned above.

[0048] Furthermore, the output unit 135 plots and outputs on the data display screen any stay locations or tour routes that satisfy at least one of the specified conditions related to age, gender, nationality, place of residence, companion attributes, number of companions, and interests, which are included in the tourist attribute information received by the reception unit 133.

[0049] As an example, the output unit 135 outputs a display screen showing the places of stay or travel routes of tourists who stayed in the target area, based on the "age group" specified above, such as those in their teens, twenties, etc. Also, the output unit 135 outputs a display screen showing the places of stay or travel routes of tourists who stayed in the target area, based on the "gender" specified above, such as those of male, female, no answer, other, etc. Also, the output unit 135 outputs a display screen showing the places of stay or travel routes of tourists who stayed in the target area, based on the "nationality" specified above, such as those of Japanese nationality, American nationality, etc. Also, the output unit 135 outputs a display screen showing the places of stay or travel routes of tourists who stayed in the target area, based on the "place of residence" specified above, such as those of Japan, the United States, etc. Furthermore, based on the "companion attributes" specified above, the output unit 135 outputs a display screen showing the places of stay or sightseeing routes of tourists who stayed in the target area and whose companion attributes match the specified attributes, such as solo travelers, family groups, couple groups, friend groups, etc. Also, based on the "number of companions" specified above, the output unit 135 outputs a display screen showing the places of stay or sightseeing routes of tourists who stayed in the target area and whose number of companions matches the specified number, such as 1 person, 2 people, etc. Also, based on the "interests" specified above, the output unit 135 outputs a display screen showing the places of stay or sightseeing routes of tourists who stayed in the target area and whose interests match the specified interests.

[0050] The details of the analysis data shown in Figure 6(2) will be explained individually in the sections related to Figures 8, 10, 12, 14, 15, 17, and 18 below.

[0051] From here, we will use Figures 7 to 18 to explain the details of each screen: the overall summary, category summary, and individual analysis. First, we will use Figure 7 to explain an example of the display screen related to the overall summary.

[0052] Regarding the display screen for the overall summary shown in Figure 7, the output unit 135 displays the following screens side by side or by switching between them: "Screen for overall summary (Figure 7(1))", "Screen for policy monitoring (Figure 7(2))", and "Screen for tourist analysis, tourist area analysis, and others (Figure 7(3))".

[0053] The overall summary screen (Figure 7(1)) displays current values ​​of KPIs (Key Performance Indicators) and other important indicators, and is used for strategic planning for measures based on the gap between target values ​​and current values, and the status of achievement. For example, the output unit 135 displays information such as "total number of visited locations considering companions (Figure 7(1-1))", "number of app downloads (Figure 7(1-2))", "count of UUIDs (Universally Unique Identifiers) of GPS information (people) (Figure 7(1-3))", "number of push notifications (Figure 7(1-4))", "distribution information of places of stay (map, etc.) (Figure 7(1-5))", and "daily fluctuation in the number of app downloads (line graph, etc.) (Figure 7(1-6))".

[0054] The operation monitoring screen (Figure 7(2)) displays particularly important indicators in the rental cycle reservation system and is used to optimize staffing and bicycle types based on monitoring the usage status of the reservation system. For example, the output unit 135 displays information such as "the name of the terminal with the most reservations (Figure 7(2-1))", "the name of the most rented bicycle type (Figure 7(2-2))", "the name of the most common group attribute (Figure 7(2-3))", "the time of day with the most rentals (Figure 7(2-4))", "distribution of terminal reservation rental locations (map, etc.) (Figure 7(2-5))", and "distribution of terminal reservation return locations (map, etc.) (Figure 7(2-6))".

[0055] The screens related to tourist analysis, tourist area analysis, and other information (Figure 7(3)) display important indicators regarding tourists, tourist areas, and social media, and are used to narrow down the focus of in-depth analysis based on an overall understanding of visitors and social media trends. For example, the output unit 135 displays information such as "distribution of gender and age (histogram, etc.) (Figure 7(3-1))", "distribution of sightseeing routes (map, etc.) (Figure 7(3-2))", and "number of social media searches per keyword (bar graph, etc.) (Figure 7(3-3))" on the screens related to tourist analysis, tourist area analysis, and other information (Figure 7(3)).

[0056] Next, using Figure 8, we will explain an example of the display screen for the individual analysis "Monthly Summary" included in the overall summary category.

[0057] The monthly summary (Figure 8(1)) displays monthly and cumulative values ​​for indicators such as KPIs / KGIs (Key Goal Indicators), and is used to set reasonable KPIs / KGIs that should be determined seasonally based on an understanding of seasonal trends.

[0058] For example, the output unit 135 outputs the monthly summary (Figure 8 (1)) as follows: <1> KGI (e.g., total number of locations, etc.) (Figure 8 (1-1)) <2> KPIs (e.g., total number of app downloads) (Figure 8 (1-2)) <3> Number of GPS-acquired users (Figure 8 (1-3))", "<3-2> Number of active users (Figure 8 (1-4))", <4> Number of locations visited per person: <1> ÷ <3> (Figure 8 (1-5))" <5> GPS-enabled user ratio: <3> ÷ <2> (Figure 8 (1-6))" <6> This displays information such as "Number of locations visited × Number of accompanying persons (Figure 8 (1-7))".

[0059] Next, Figure 9 will be used to explain an example of a display screen related to the category summary of policy monitoring.

[0060] Specifically, the output unit 135 displays screens such as "Screen showing the total number of visitors to each location and their distribution (Figure 9(1))" either side by side or by switching between them.

[0061] The screen showing the total number of visitors to each location and their distribution (Figure 9(1)) displays the degree of contribution to the region and the total number of visitors staying at each location. This information is used to formulate tourism plans based on the number of visitors at each location and tourism assets, based on a quantitative assessment of the degree of achievement (KGI). For example, the output unit 135 displays information such as "KGI: Total number of locations visited during a specified period (Figure 9(1-1))" and "Distribution of places of stay (map, etc.) (Figure 9(1-2))" on the screen showing the total number of visitors to each location and their distribution (Figure 9(1)).

[0062] Next, using Figure 10, we will explain an example of the display screen for individual analyses included in the policy monitoring category.

[0063] Specifically, the output unit 135 displays the following screens side-by-side or by switching between them: "Screen showing the total number of visitors to each location (KGI) and its distribution (Figure 10 (1))" and "Screen showing the number of tourists and the number of their companions (Figure 10 (2))".

[0064] The screen showing the total number of visitors to each location (KGI) and its distribution (Figure 10(1)) displays the degree of contribution to the region and the total number of visitors staying at each location. This information is used to formulate tourism plans based on the number of visitors at each location and tourism assets, based on a quantitative assessment of the degree of achievement (KGI). For example, the output unit 135 displays information such as "total number of locations visited during a specified period (Figure 10(1-1))" and "distribution of visited locations (map, etc.) (Figure 10(1-2))" on the screen showing the total number of visitors to each location (KGI) and its distribution (Figure 10(1)).

[0065] The screen showing the number of tourists and their companions (Figure 10 (2)) displays the breakdown of the number of visitors and their companions, and is used to develop experience content appropriate to the number of people based on a quantitative understanding of the degree of achievement (number of companions of app users). For example, the output unit 135 displays information such as "count of UUIDs of GPS information for a predetermined period (people) (Figure 10 (2-1))" and "count of UUIDs for each number of companions (bar graph, etc.) (Figure 10 (2-2))" on the screen showing the number of tourists and their companions (Figure 10 (2)).

[0066] Next, Figure 11 will be used to explain an example of a display screen related to the category summary of operational monitoring.

[0067] Specifically, the output unit 135 displays the following screens side-by-side or by switching between them: "Screen related to terminal reservation results (Figure 11 (1))", "Screen related to vehicle type results and scheduled rental times (Figure 11 (2))", and "Screen related to group analysis (Figure 11 (3))".

[0068] The terminal reservation performance screen (Figure 11 (1)) displays the number of reservations for rental bicycles, etc., at each terminal and is used to predict the scale of experience content based on the number of rentals at each terminal, based on needs analysis from the perspective of the starting point of a sightseeing route. For example, the output unit 135 displays information such as "Number of reservations per departure terminal (bar graph, etc.) (Figure 11 (1-1))", "Number of reservations per destination terminal (bar graph, etc.) (Figure 11 (1-2))", "Terminal reservation departure point plot (map, etc.) (Figure 11 (1-3))", and "Terminal reservation return point plot (map, etc.) (Figure 11 (1-4))".

[0069] The screen showing rental performance and scheduled rental times by bicycle type (Figure 11 (2)) displays the number of rentals and rental times for each bicycle type, and is used for rental bicycle advertising and public relations (Public Relations) tailored to each persona based on correlation analysis between bicycle type and gender / age. For example, the output unit 135 displays information such as "Number of rentals by bicycle type (bar graph, etc.) (Figure 11 (2-1))" and "Scheduled rental times (line graph, etc.) (Figure 11 (2-2))" on the screen showing rental performance and scheduled rental times by bicycle type (Figure 11 (2)).

[0070] The screen related to group analysis (Figure 11 (3)) displays the demographic groups of tourists who have made reservations, and is used for advertising targeting after identifying user profiles based on the characteristics of these demographic groups. For example, the output unit 135 displays information such as "Number of reservations by tourist group attribute (bar graph, etc.) (Figure 11 (3-1))" on the screen related to group analysis (Figure 11 (3)).

[0071] Next, using Figure 12, we will explain an example of the display screen for individual analyses included in the operational monitoring category.

[0072] Specifically, the output unit 135 displays the following screens side-by-side or by switching between them: "Screen related to terminal reservation results (Figure 12 (1))", "Screen related to vehicle type results (Figure 12 (2))", "Screen related to group analysis (Figure 12 (3))", and "Screen related to scheduled rental times (Figure 12 (4))".

[0073] The terminal reservation performance screen (Figure 12 (1)) displays the number of reservations for each terminal and is used to predict the scale of the experience content based on the number of rentals for each terminal, based on needs analysis from the perspective of the starting point of a sightseeing route. For example, the output unit 135 displays information such as "Number of reservations per departure terminal (bar graph, etc.) (Figure 12 (1-1))", "Number of reservations per destination terminal (bar graph, etc.) (Figure 12 (1-2))", "Terminal reservation departure point plot (map, etc.) (Figure 12 (1-3))", and "Terminal reservation return point plot (map, etc.) (Figure 12 (1-4))" on the terminal reservation performance screen (Figure 12 (1)).

[0074] The screen showing performance by bicycle type (Figure 12 (2)) displays the number of reservations for each bicycle type and is used for advertising and PR of rental bicycles tailored to each persona based on an analysis of the bicycle types with high demand. For example, the output unit 135 displays information such as "Number of reservations for each bicycle type (bar graph, etc.) (Figure 12 (2-1))" on the screen showing performance by bicycle type (Figure 12 (2)).

[0075] The screen related to group analysis (Figure 12 (3)) displays the group attributes of the tourists who have made reservations, and is used for advertising targeting after identifying user profiles based on an understanding of the characteristics of the tourists' group attributes. For example, the output unit 135 displays information such as "count of group attributes (bar graph, etc.) (Figure 12 (3-1))" and "frequency (Figure 12 (3-2))" on the screen related to group analysis (Figure 12 (3)).

[0076] The screen related to the scheduled loan time (Figure 12 (4)) displays the loan time and other information, and is used to optimize counter staff based on trends in usage start times. For example, on the screen related to the scheduled loan time (Figure 12 (4)), the output unit 135 displays information such as "Number of reservations for each scheduled loan time (line graph, etc.) (Figure 12 (4-1))".

[0077] Next, Figure 13 will be used to explain an example of a display screen related to the category summary of tourist analysis.

[0078] Specifically, the output unit 135 displays the following screens side-by-side or by switching between them: "Screen related to gender, age, nationality, companion attributes, and number of companions (Figure 13 (1))", "Screen related to place of residence and start time of app use (Figure 13 (2))", and "Screen related to app usage time and hobbies / preferences (Figure 13 (3))".

[0079] The screens related to gender, age, nationality, companion attributes, and number of companions (Figure 13 (1)) display the attribute composition of tourists and are used for targeted advertising based on the current understanding of tourist attributes and the proportion of visitors for each attribute. For example, the output unit 135 displays information such as "Number of visitors by gender and age (histogram, etc.) (Figure 13 (1-1))", "UUID count by nationality (bar graph, etc.) (Figure 13 (1-2))", "UUID count by companion attribute (friends, family, no answer, spouse / partner, other, etc.) (bar graph, etc.) (Figure 13 (1-3))", and "UUID count by number of companions (bar graph, etc.) (Figure 13 (1-4))".

[0080] The screen related to the place of residence and the time the app was started (Figure 13 (2)) displays the tourist's place of origin, the timing of app usage, etc., and is used for targeted advertising to areas with a high number of visitors based on the planning of public relations strategies for each residential area. For example, the output unit 135 displays information such as "the strength of the UUID count for each place of residence (map, etc.) (Figure 13 (2-1))", "the number of UUIDs for each place of residence (bar graph, etc.) (Figure 13 (2-2))", and "the number of UUIDs for each time the app was started (line graph, etc.) (Figure 13 (2-3))" on the screen related to the place of residence and the time the app was started (Figure 13 (2)).

[0081] The screen related to app usage time and hobbies / preferences (Figure 13 (3)) displays the number of people for each app usage time, tourist preferences, etc., and is used as a reference for formulating new sightseeing routes through cross-analysis with terminals based on the number of people whose main purpose of visit is rental bicycles. For example, the output unit 135 displays information such as "UUID count per app usage time (bar graph, etc.) (Figure 13 (3-1))" and "UUID count per hobby / preference classification (bar graph, etc.) (Figure 13 (3-2))" on the screen related to app usage time and hobbies / preferences (Figure 13 (3)). For example, the aforementioned hobbies / preferences include "cafes," "no answer," "cycle oasis," "gourmet," "hot springs / public baths," "scenic spots," "roadside stations," "leisure," and "shrines and temples."

[0082] Next, using Figures 14 and 15, we will explain an example of the display screen for individual analyses included in the tourist analysis category.

[0083] Specifically, the output unit 135 displays the following screens side-by-side or by switching between them: "Screen related to gender, age, nationality, and companions (Figure 14 (1))", "Screen related to place of residence (Figure 14 (2))", "Screen related to start time of app use (Figure 14 (3))", "Screen related to app usage time (Figure 15 (1))", "Screen related to repeat user determination (Figure 15 (2))", and "Screen related to hobbies and preferences (Figure 15 (3))".

[0084] The screens related to gender, age, nationality, and accompanying persons (Figure 14 (1)) display the attribute composition of tourists and are used for targeted advertising based on the current understanding of tourist attributes and the proportion of visitors for each attribute. For example, the output unit 135 displays information such as "Number of visitors by gender and age (histogram, etc.) (Figure 14 (1-1))", "Number of UUIDs by nationality (bar graph, etc.) (Figure 14 (1-2))", "Number of UUIDs by accompanying person attribute (bar graph, etc.) (Figure 14 (1-3))", and "Number of UUIDs by number of accompanying persons (bar graph, etc.) (Figure 14 (1-4))".

[0085] The screen related to the place of residence (Figure 14 (2)) displays the origin of the tourist's visit and is used for targeted advertising to areas with a high number of visitors based on the planning of public relations strategies for each residential area. For example, the output unit 135 displays information such as "Strength of UUID count for each place of residence (map, etc.) (Figure 14 (2-1))" and "UUID count for each place of residence (bar graph, etc.) (Figure 14 (2-2))" on the screen related to the place of residence (Figure 14 (2)).

[0086] The screen related to the app usage start time (Figure 14 (3)) displays the tourist's app usage start time, etc., and is used to plan information distribution strategies that are tailored to the app usage start time, based on an understanding of the optimal timing for push notifications. For example, the output unit 135 displays information such as "UUID count for each app usage start time (line graph, etc.) (Figure 14 (3-1))" on the screen related to the app usage start time (Figure 14 (3)).

[0087] The screen related to app usage time (Figure 15 (1)) displays the number of people for each app usage time, and is used as a reference for formulating new sightseeing routes based on an understanding of the number of people whose primary purpose of visit is to rent bicycles. For example, the output unit 135 displays information such as "UUID count for each app usage time (bar graph, etc.) (Figure 15 (1-1))" on the screen related to app usage time (Figure 15 (1)).

[0088] The screen related to repeat visitor determination (Figure 15 (2)) displays the attributes of repeat visitors, who are tourists who have visited the target area again. This information is used to refine advertising targeting based on an understanding of repeat visitors' characteristics through cross-analysis with gender, age, place of residence, etc. For example, the output unit 135 displays information such as "Repeat Visitor Determination Results (List) (Figure 15 (2-1))" on the screen related to repeat visitor determination (Figure 15 (2)). The Repeat Visitor Determination Results (List) may include, for example, the identification information of the tourist (user), a timestamp, the determination result of whether or not they are a repeat visitor, and attribute information related to the tourist and their companions. The above-mentioned identification information of the tourist (user) refers to information that does not identify individual tourists, such as a UUID.

[0089] The screen related to hobbies and preferences (Figure 15 (3)) displays the tourist's hobbies and preferences (interests), and is used for developing tourism content that aligns with the tourist's interests and for planning projects that can be combined with tourism assets. For example, the output unit 135 displays information such as "UUID count for each category of hobbies and preferences (bar graph, etc.) (Figure 15 (3-1))" on the screen related to hobbies and preferences (Figure 15 (3)).

[0090] Next, using Figure 16, we will explain an example of a display screen related to the category summary of the tourist area analysis.

[0091] Specifically, the output unit 135 displays the following screens side-by-side or by switching between them: "Screen related to stay history (Figure 16 (1))", "Screen related to cross-analysis of start and end points (Figure 16 (2))", and "Screen related to itinerary search and page view counts for each viewed spot (Figure 16 (3))".

[0092] The screen related to stay history (Figure 16 (1)) displays a plot of the locations where tourists stayed for each length of time, as well as where tourists moved from and to. This is used to identify locations that are likely to attract tourists for specific purposes, based on an understanding of the locations where tourists stayed for each purpose. For example, the output unit 135 displays information such as "plot of locations stayed (map, etc.) (Figure 16 (1-1))", "UUID count for each area (bar graph, etc.) (Figure 16 (1-2))", and "sightseeing route (map, etc.) (Figure 16 (1-3))" on the screen related to stay history (Figure 16 (1)).

[0093] The screen related to the cross-analysis of start and end points (Figure 16 (2)) displays information such as which points tourists moved from and to, and is used to formulate sightseeing routes with potential demand based on the identification of points that are expected to attract visitors (from the perspective of needs determined by search). For example, the output unit 135 displays information such as "Sightseeing route starting point plot (heatmap, etc.) and UUID count for each starting point (bar graph, etc.) (Figure 16 (2-1))" and "Sightseeing route ending point plot (heatmap, etc.) and UUID count for each ending point (bar graph, etc.) (Figure 16 (2-2))" on the screen related to the cross-analysis of start and end points (Figure 16 (2)).

[0094] The screen related to the search for itineraries and the number of page views for each viewed spot (Figure 16 (3)) displays the level of interest of tourists in itineraries and tourist spots, and is used to formulate sightseeing routes with potential demand based on the identification of points where visitor numbers are expected to increase (from the perspective of search needs), similar to cross-analysis of start and end points. For example, the output unit 135 displays information such as the screen related to the search for itineraries and the number of page views for each viewed spot (Figure 16 (3)) in bar graphs, etc., including "UUID count for each itinerary classification (Figure 16 (3-1))" and "Page view count for each viewed spot (Figure 16 (3-2))".

[0095] Next, using Figures 17 and 18, we will explain an example of the display screen for individual analyses included in the tourism area analysis category.

[0096] Specifically, the output unit 135 displays the following screens side-by-side or by switching between them: "Screen related to stay history (Figure 17(1))", "Screen related to sightseeing route (Figure 17(2))", "Screen related to cross-analysis of starting and ending points (Figure 17(3))", "Screen related to itinerary search (Figure 18(1))", and "Screen related to the number of page views for each viewing spot (Figure 18(2))".

[0097] The screen related to stay history (Figure 17(1)) displays plots of places visited by tourists for each length of stay, and is used to identify locations that are likely to attract tourists for specific purposes based on an understanding of places visited for each purpose. For example, the output unit 135 displays information such as "Places visited (map, etc.) (Figure 17(1-2))" on the screen related to stay history (Figure 17(1)).

[0098] In addition, the output unit 135 plots and displays on the data display screen the locations where the specified conditions regarding the length of stay of tourists, as received by the reception unit 133, are met. For example, the output unit 135 can display only the plots of locations where the specified conditions regarding the length of stay of tourists are met, as specified by the person in charge, etc., via the "Selection bar for length of stay to narrow down the displayed plots (Figure 17 (1-1))" shown in Figure 17 (1).

[0099] Furthermore, when a plotted stay location displayed on the data display screen is selected, the output unit 135 overlays information about the tourist who stayed at that location onto the data display screen (not shown in Figure 17). For example, when a tourist selects the plot shown in (1-2) of Figure 17, the output unit 135 overlays the tourist's identification information, stay time, companion information, etc., related to that plot onto the screen.

[0100] Furthermore, when multiple plotted stay locations displayed on the data display screen are selected, the output unit 135 displays the results of predetermined aggregations performed on the selected stay locations, superimposed on the data display screen (not shown in Figure 17). For example, when a tourist selects multiple plots shown in (1-2) of Figure 17, the output unit 135 aggregates the tourist's identification information, stay time, companion information, etc., related to those plots and displays them superimposed on the screen.

[0101] The screen related to the sightseeing route (Figure 17 (2)) displays information such as which points tourists have moved from and to, and is used to implement campaigns at locations where it is likely that visitors will be attracted, based on the hypothesis of creating points of stay between stopover points. For example, the output unit 135 displays information such as "Sightseeing Route (Map, etc.) (Figure 17 (2-1))" on the screen related to the sightseeing route (Figure 17 (2)).

[0102] Furthermore, when a plotted sightseeing route displayed on the data display screen is selected, the output unit 135 overlays information about the tourist related to the sightseeing route onto the data display screen (not shown in Figure 17). For example, when a tourist selects the sightseeing route shown in (2-1) of Figure 17, the output unit 135 overlays the tourist's identification information, length of stay, companion information, etc., related to that sightseeing route onto the screen.

[0103] The screen related to the cross-analysis of start and end points (Figure 17 (3)) displays aggregated results such as the number of tourists and their attributes (actual performance) for each start and end point, and is used to develop a strategy for how far to recommend from the start point based on tourist trend analysis according to distance traveled and time. For example, the output unit 135 displays information such as "Plot of the starting point of the sightseeing route (heatmap, etc.) (Figure 17 (3-1))", "Number of UUIDs for each starting point (bar graph, etc.) (Figure 17 (3-2))", "Plot of the ending point of the sightseeing route (heatmap, etc.) (Figure 17 (3-3))", and "Number of UUIDs for each ending point (bar graph, etc.) (Figure 17 (3-4))" on the screen related to the cross-analysis of start and end points (Figure 17 (3)).

[0104] Furthermore, the output unit 135 displays the results of a predetermined aggregation performed on at least one of the start and end points of the plotted sightseeing route displayed on the data display screen, superimposed on the data display screen. For example, the output unit 135 displays the UUID counts for each of the following related to the specified start or end point: "Gender of tourist (Figure 17 (3-5))", "Age of tourist (Figure 17 (3-6))", "Nationality of tourist (Figure 17 (3-7))", "Attributes of companions (Figure 17 (3-8))", and "Number of companions (Figure 17 (3-9))", respectively, using bar graphs or the like.

[0105] The screen for searching itineraries (Figure 18 (1)) displays tourist itineraries and is used to implement campaigns at locations where it is likely that visitors will be attracted, based on the hypothesis of creating stay points between stopover locations. For example, the output unit 135 displays information such as "UUID count for each target search (bar graph, etc.) (Figure 18 (1-1))" on the screen for searching itineraries (Figure 18 (1)).

[0106] The screen showing the number of page views for each viewing spot (Figure 18 (2)) displays the number of searches for each spot and is used to optimize the search for attractive points in the target area and the dissemination of recommendations. For example, the output unit 135 displays information such as "UUID count for each top item of the viewing spot (bar graph, etc.) (Figure 18 (2-1))" on the screen showing the number of page views for each viewing spot (Figure 18 (2)).

[0107] (Application 200) Application 200 is an application installed on an information processing terminal device operated by tourists visiting the target area, and performs predetermined operations. Specifically, Application 200 collects tourist location information based on GPS, receives tourist information entered by tourists, and transmits it to the data analysis device 100. Furthermore, Application 200 can delete or replace personally identifiable information from tourist location information and tourist information based on known technologies, converting it into a state where individuals cannot be identified, and then transmit it to the data analysis device 100.

[0108] The type of information processing device referred to here is not particularly limited and may include, for example, smartphones, tablets, PDAs (Personal Digital Assistants), PCs (Personal Computers), notebook PCs, etc.

[0109] (Server 300) Server 300 is an external information processing device that provides SNS services and stores weather information, information about the target area, etc. The type of information processing device that implements Server 300 is not particularly limited; for example, it may include cloud-based servers or on-premise servers.

[0110] (Terminal device 400) The terminal device 400 is an information processing terminal device operated by the person in charge. Specifically, the terminal device 400 receives specified conditions from the person in charge, transmits the received specified conditions to the data analysis device 100, and performs processing related to receiving and displaying the extraction results and aggregated results of stay locations and travel routes that satisfy the specified conditions from the data analysis device 100. The type of terminal device 400 referred to here is not particularly limited and may be, for example, a smartphone, tablet, PDA, PC, notebook PC, etc.

[0111] (Processing procedure by data analysis device 100) Next, the procedure for processing performed by the data analysis device 100 according to this embodiment will be explained with reference to Figure 19. Figure 19 is a flowchart showing the processing performed by the data analysis device 100 according to this embodiment.

[0112] First, the acquisition unit 131 acquires tourist information from a terminal device or the like that runs the application 200 (S101). Next, the identification unit 132 identifies the sightseeing route using the tourist location information included in the tourist information acquired by the acquisition unit 131 (S102). Next, the reception unit 133 receives the specified conditions entered by the person in charge or the like from the terminal device 400 or the like (S103).

[0113] The extraction unit 134 extracts tour routes that satisfy the specified conditions (S104). If a tour route that satisfies the conditions exists (Yes in S105), the output unit 135 outputs the extracted tour route to the terminal device 400, etc. (S106). The data analysis device 100 then completes the process.

[0114] On the other hand, if no sightseeing route that satisfies the conditions exists (No. in S105), the data analysis device 100 skips step S106. Then, the data analysis device 100 terminates the process.

[0115] (effect) Next, we will explain the effects of the data analysis device 100 according to this embodiment. In recent years, tourism DX has been promoted, but it is difficult to collect and visualize various data, and it can be difficult to properly analyze tourists who have stayed in a target area.

[0116] Therefore, the identification unit 132 of the data analysis device 100 according to this embodiment uses the tourist's location information to identify the sightseeing route, which is the route the tourist traveled. The reception unit 133 of the data analysis device 100 receives specified conditions based on the tourist's attribute information. The output unit 135 of the data analysis device 100 outputs the sightseeing route that satisfies the specified conditions from among the sightseeing routes for each tourist.

[0117] Therefore, the data analysis device 100 according to this embodiment has the effect of enabling appropriate analysis of tourists who stayed in the target area. Furthermore, the data analysis device 100 according to this embodiment achieves predetermined effects by performing the processes described below.

[0118] The output unit 135 displays a screen for accepting specified conditions and a data display screen that displays the sightseeing route for each tourist based on the specified conditions.

[0119] Through the processing described above, the data analysis device 100 can output aggregated results, including plotting of tourists' travel routes, to the person in charge based on various specified conditions specified by that person. Furthermore, by displaying the screen for receiving the specified conditions and the screen for outputting the aggregated results based on the specified conditions on the same screen, the data analysis device 100 enables the person in charge to perform analysis efficiently.

[0120] When a plotted sightseeing route displayed on the data display screen is selected, the output unit 135 overlays information about tourists related to the sightseeing route onto the data display screen.

[0121] Through the processing described above, the data analysis device 100 can display detailed information about tourists related to the sightseeing route specified by the person in charge. Therefore, the data analysis device 100 has the effect of making it easier for the person in charge to further analyze the plotted sightseeing route in detail.

[0122] The output unit 135 displays the results of a predetermined aggregation performed on at least one of the start and end points of the plotted sightseeing route displayed on the data display screen, superimposed on the data display screen.

[0123] Through the process described above, the data analysis device 100 can display the results of aggregating detailed information about tourists related to the starting and ending points of the sightseeing route specified by the person in charge. Therefore, the data analysis device 100 has the effect of making it easier for the person in charge to aggregate detailed information on the starting and ending points and perform more detailed analysis.

[0124] The output unit 135 plots and outputs on the data display screen any sightseeing routes that satisfy at least one of the specified conditions related to age, gender, nationality, place of residence, companion attributes, number of companions, and interests, which are included in the tourist attribute information received by the reception unit 133.

[0125] Through the processing described above, the data analysis device 100 can narrow down the plotted sightseeing routes to be displayed based on the attribute information of the tourists. Therefore, the data analysis device 100 has the effect of making it easy to perform analyses such as what kind of routes tourists travel depending on their attributes.

[0126] Furthermore, the data analysis device 100 can narrow down the plotted sightseeing routes displayed based not only on the attributes of the tourists themselves, but also on the attribute information and number of accompanying persons. Therefore, the data analysis device 100 has the effect of making it easy to analyze what kind of tourist groups travel what kind of routes.

[0127] The reception unit 133 accepts information relating to the target area as specified conditions. The output unit 135 plots and outputs on the data display screen any sightseeing routes that satisfy at least one of the specified conditions related to area, spot, time series, or weather, which are included in the information relating to the target area accepted by the reception unit 133.

[0128] Through the processing described above, the data analysis device 100 can narrow down the plot of tourist routes according to conditions such as the area to be displayed, date and time, and weather. Therefore, the data analysis device 100 has the effect of making it easy to analyze what routes tourists travel under various conditions such as area, season, and weather.

[0129] <Variation> The following describes modifications that can be implemented by the data analysis device 100 according to this embodiment.

[0130] (Data, etc.) The locations of stay, sightseeing routes, tourists, specified conditions, names of the functional parts of the data analysis device 100, steps, processes, names of steps or processes, etc., used in the description of the above embodiment are merely examples and can be changed at will.

[0131] For example, while it was explained that the tourist information DB121 stores items such as date and time, individual tourist information, reservation information, GPS log, start / end point, viewing time, SNS (Social Networking Service) click count, hobbies and preferences, visited spots, and push notifications in a list format, it is not limited to the item names and contents mentioned above.

[0132] (Example of a display screen) In this embodiment, the display screens shown in Figures 4 to 18 are merely examples, and the configuration, content, images, text, numerical values, graphs, and other information of the screens shown in the drawings are not limited. In other words, the data analysis device 100 can display content other than that shown in Figures 4 to 18, by appropriately combining the content described in this embodiment.

[0133] (Flowcharts, etc.) In flowcharts, each step may be rearranged as long as it does not create inconsistencies, and some steps may be omitted. Furthermore, conjunctions such as "next," "continue," "in addition," "at this time," and "on this occasion" in flowchart descriptions do not limit the order or timing of the processes in the flowchart.

[0134] <Hardware Configuration> Each component of the illustrated device is a functional concept and does not necessarily have to be physically configured as shown. In other words, the specific forms of distribution and integration of each device are not limited to those shown, and all or part of them can be functionally or physically distributed and integrated in any unit according to various loads and usage conditions. Furthermore, each processing function performed by each device can be implemented, all or any part of it, by a CPU and the program that is analyzed and executed by that CPU, or by hardware using wired logic.

[0135] Furthermore, among the processes described in this embodiment, all or part of those described as being performed automatically can be performed manually using known methods. In addition, the processing procedures, control procedures, specific names, and information including various data and parameters shown in the drawings can be arbitrarily changed unless otherwise specified.

[0136] <Program> In one embodiment, the various devices constituting the data analysis device 100 can be implemented by installing a data analysis program as packaged software or online software on a desired computer. For example, by having the above-mentioned data analysis program run on an information processing device, the various devices constituting the data analysis device 100 can be made to function. The information processing device referred to here includes desktop or notebook personal computers. In addition, the information processing device also includes mobile communication terminals such as smartphones and mobile phones, and slate terminals such as PDAs (Personal Digital Assistants).

[0137] Figure 20 shows an example of a computer that implements the data analysis device 100 according to the embodiment. The computer 1000 has, for example, memory 1010 and CPU 1020. The computer 1000 also has a hard disk drive interface 1030, a disk drive interface 1040, a serial port interface 1050, a video adapter 1060, and a network interface 1070. These components are connected by a bus 1080.

[0138] Memory 1010 includes ROM (Read Only Memory) 1011 and RAM 1012. ROM 1011 stores, for example, a boot program such as BIOS (Basic Input Output System). The hard disk drive interface 1030 is connected to the hard disk drive 1090. The disk drive interface 1040 is connected to the disk drive 1100. For example, a removable storage medium such as a magnetic disk or optical disk is inserted into the disk drive 1100. The serial port interface 1050 is connected to, for example, a mouse 1110 and a keyboard 1120. The video adapter 1060 is connected to, for example, a display 1130.

[0139] The hard disk drive 1090 stores, for example, an OS (Operating System) 1091, an application program 1092, a program module 1093, and program data 1094. That is, the programs that define the various processes of the various devices constituting the data analysis device 100 are implemented as program modules 1093 in which executable code for a computer is written. The program modules 1093 are stored, for example, in the hard disk drive 1090. For example, a program module 1093 for performing processes similar to the functional configuration of the various devices constituting the data analysis device 100 is stored in the hard disk drive 1090. Note that the hard disk drive 1090 may be replaced by an SSD (Solid State Drive).

[0140] Furthermore, the configuration data used in the processing of the embodiment described above is stored as program data 1094 in, for example, memory 1010 or hard disk drive 1090. The CPU 1020 then reads the program module 1093 and program data 1094 stored in memory 1010 or hard disk drive 1090 into RAM 1012 as needed and executes the processing of the embodiment described above.

[0141] Furthermore, the program module 1093 and program data 1094 are not limited to being stored in the hard disk drive 1090; for example, they may be stored in a removable storage medium and read by the CPU 1020 via a disk drive 1100 or the like. Alternatively, the program module 1093 and program data 1094 may be stored in another computer connected via a network (LAN, WAN (Wide Area Network), etc.). The program module 1093 and program data 1094 may then be read from the other computer by the CPU 1020 via a network interface 1070.

[0142] <Other> Although this embodiment has been described above, this embodiment is not limited by the description and drawings that constitute part of the disclosure. That is, all other embodiments, examples, and operational techniques made by those skilled in the art based on this embodiment are included in the scope of this embodiment. [Explanation of symbols]

[0143] 100 Data Analysis Devices 110 Communications Department 120 Storage section 121 Tourist Information Database 130 Control Unit 131 Acquisition Department 132 Specific part 133 Reception Department 134 Extraction part 135 Output section 200 applications 300 servers 400 terminal devices

Claims

1. A identification unit that uses the user's location information to identify the sightseeing route, which is the route the user has traveled, A reception unit that accepts specified conditions based on the user's attribute information, An output unit outputs a sightseeing route that satisfies the specified conditions from among the sightseeing routes for each user, A data analysis device characterized by having the following features.

2. The output unit is, A screen for accepting the specified conditions and a data display screen that displays the tour route for each user based on the specified conditions are displayed. The data analysis apparatus according to feature 1.

3. The output unit is, When the plotted sightseeing route displayed on the data display screen is selected, information about the user related to that sightseeing route is displayed superimposed on the data display screen. The data analysis apparatus according to feature 2.

4. The output unit is, The results of a predetermined calculation performed on at least one of the starting and ending points of the plotted sightseeing route displayed on the data display screen are superimposed and displayed on the data display screen. The data analysis apparatus according to feature 2.

5. The output unit is, The system plots and outputs the aforementioned tour route on the data display screen, which satisfies at least one of the specified conditions related to the user's attribute information received by the reception unit, including age, gender, nationality, place of residence, companion attributes, number of companions, and interests. A data analysis device according to any one of features 1 to 4.

6. The aforementioned reception unit is Information relating to the target area will be accepted as specified above. The output unit is, The system plots and outputs the aforementioned sightseeing route on a data display screen any route that satisfies the specified conditions relating to at least one of the following: area, spot, time series, and weather, which are included in the information relating to the target region received by the reception unit. A data analysis device according to any one of features 1 to 4.

7. The system further includes an acquisition unit that acquires information about the user, including the user's location information, after excluding personally identifiable information from external devices. A data analysis device according to any one of features 1 to 4.

8. A data analysis method to be performed by a data analysis device, A process of identifying a sightseeing route, which is the route the user has traveled, using the user's location information. A receiving process for receiving specified conditions based on the user's attribute information, An output step that outputs a sightseeing route that satisfies the specified conditions from among the sightseeing routes for each user, A data analysis method characterized by including the following.

9. A selection step that uses the user's location information to identify the sightseeing route, which is the route the user has traveled, A reception step that accepts specified conditions based on the specified conditions based on the user's attribute information, An output step that outputs a tour route that satisfies the specified conditions from among the tour routes for each user, A data analysis program that causes a computer to perform the following actions.

Images