This is a Point of Interest (POI) data set that covers the locations of General facility (public) nationwide. It is provided as point data (text format) that can be used with various GIS (Geographic Information Systems).
It covers over 200 types of facilities, including General facility (public) such as government offices, parks, and schools, as well as hospitals, leisure facilities, and accommodations.
For each facility, in addition to the name, latitude and longitude, pronunciation, address, and phone number, the map also includes "route search points" to assist in accurately guiding users to the facility's entrances and parking lots.
Furthermore, with 12 updates per year, newly opened facilities are reflected as soon as they open.
How can General facility (public) spot data transform your business? We present specific use cases and examples that offer hints for solving challenges in our case studies section.
– Reducing driver stress:
Drivers can reach the destination's parking lot or entrance smoothly and safely without getting lost, improving user satisfaction.
– Streamlining logistics and delivery operations
Because it can accurately guide vehicles to the entrance of the delivery destination, it directly leads to shorter delivery times and increased efficiency. By reducing misdirection and waiting times on surrounding roads, it optimizes logistics costs and improves delivery quality.
– Improving the "quality" of the navigation function
This solution addresses issues that directly impact the user experience, such as "I arrived but couldn't find my destination" or "I was directed to the back entrance."
It's 12 times a year.
We continuously collect information on changes at facilities from a variety of sources, including newspapers, local government newsletters, websites, and on-site surveys. Based on the collected information, spot data is updated monthly. Newly opened facilities are also reflected as quickly as possible.
This data shows the most suitable destination for guiding vehicles to a facility. The appropriate location varies depending on the facility, such as a facility-specific parking lot or the road right in front of the entrance.
Data where the name was divided by morphological analysis. You can search with short words.
For example, spot data for "ITTOEN Museum KOSOIN" is divided into "ITTOEN/Museum/Kosoin."
Furthermore, by combining the divided words, it becomes possible to extract and analyze data based on more complex and multifaceted conditions, such as "all museums in XX (region name)" or "facilities that are XX (facility category) and contain a specific name." This improves the accuracy of detailed area marketing and target customer segment identification.
