Spotzi has a wide range of geographical datasets on street level.
Our datasets are compatible with big data tools like Mapinfo, Arcgis, QGIS, Tableau, Microsoft Power BI, Google Maps, Excel Maps, Carto, Mapbox etc. It is possible to buy and download this data directly from the datashop, but it is also possible to buy this data as a package with some powerful mapping and data tools. Read our Pricing page for more information.
Below you can find our address datasets.
This map represents the purchasing power data from Netherlands on a 4-digit ZIP code level. This purchasing data provides more insight into the disposable income of the Netherlands. The disposable income gives more insights into the spending patterns of Dutch consumers. This dataset represents the total purchasing power and is compiled from spending data of multiple product groups:
- Food and Beverages
- Food and Beverages (Out-of-Home)
- Household Products (Non-Electrical)
- Household Maintenance
- Home Appliances
- Furniture and Home Decoration
- Tools and Gardening
- Books, Newspapers and Magazines
- Consumer Electronics
- Recreation and Hobbies
- Personal Care
- Healthcare Products
The data on this map is divided by ZIP code 4 area and is calculated per total, per capita, per 1,000 persons an as an index. An index helps to compare consumer behavior between different areas. The countrywide average is seen as the base for the calculation (countrywide average = 100). If the inhabitants of one area spend more on accessories than the countrywide average, the index for this area will be higher than 100. An index of for example 200 for an area means that people in this area spend twice as much on accessories than the average person of that country. Besides data about the total purchasing power we also offer the purchasing power of the separate product groups.
Building a mapping platform for Dummies
Building a mapping platform for dummies. That is the challenge we at Spotzi have taken upon ourselves. There are some great products and tools out there. But they either aim at Mapping (GIS) Professionals or Developers. There is however a large group of people in need of geospatial data. They usually work at small and medium enterprises but have no time to join a Training or learn the development skills needed for some mapping tools out there. All great powerful tools with impressive functionalities but not suited for the average person.
In January this year (2016) we silently launched a Datashop and a basic map editor. This is the result of years of exploration, working with non GIS-clients and hard work. We learned that our clients need content to start with and easy tools to map their own data. Currently our main focus is offering Postal Code and Census Data. For the average GIS professional not really exciting datasets. However for many people out there hard to reach and very needed data.
We were proven to be right. Immediately after the launch of our datashop small and medium enterprises started mapping their own rich and intelligent business data at postal code or census level. Mapping campaigns, managing the location of trainers and exploring new areas for trampoline parks. These are just a few examples of clients who joined us the last months. However large companies like a Telecommunication company in Canada and a Real Estate website in the Netherlands use our tools. What do they have in common? The people working with Spotzi are no GIS professionals and have no development skills.
Today (9 May 2016) we have taken the simplicity of mapping again one step further. The geocoding of data will now automatically take place during the import of Excel sheets or CSV files. Geocoding will always have its challenges but it is a great step ahead in easily mapping your own location data.
As of now each month we will release interesting tools and data which will change the way we used to do mapping. Our road-map looks very interesting and we are kind of proud of the results. Therefore we will start shouting a little bit harder. We are confident that Spotzi will start to appeal GIS and non-GIS professionals all over the world.
The Spotzi Datashop is a large database with several GIS datasets from all over the world. We offer different kinds of datasets that can be downloaded in several popular data formats (tables and maps). We offer the raw data in CSV, Excel or XML, but we also offer geospatial formats for GIS data analysts, like shapefile (.shp), geoJSON (.json), Mapinfo TAB (.tab) and KML (.kml). These formats are compatible with popular GIS software like Arcgis, QGIS, Mapinfo, but also mapping tools like Google Maps.
Spotzi also offers an easy to use Mapping solution. Our free Mapbuilder offers you the ability to visualize and edit the data you purchased from us.
How do I order?
- Find your desired map and data in the Spotzi Datashop.
- Some datasets can be purchased instantly from our Datashop. (Mapbuilder account required, register an account or log in).
- Follow the instructions in the payment terminal.
- After completing the payment, you will receive a confirmation email and the data will be added to your Mapbuilder account.
- Use the Mapbuilder to create maps or export the dataset to Shapefile, CSV/Excel geoJSON, TAB or KML to use the data in Arcgis, QGIS, Mapinfo or Google Maps.
- When the data is available upon request we will add the data to your Mapbuilder account.