Data analysis are important in understanding problems facing your company, and to explore your data in multiple ways.

Our team specializes in data analyses such as demographic, environmental, politics, economic, social and their prognosis.

By using imaginative solutions and new technologies we are able to visualize your data to be easy to read, update and be user friendly.


StraTopo creates dashboard of excellent quality, tailored to the client and his needs. Your company can get information management tool to visualy tracks, analyzes and displays key performance indicators (KPI), metrics and key data points to monitor the health, progress and changes of a business, department or specific process.

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Our dashboards connect you to files, attachments, services and API’s, and on the surface displays all this data in the form of tables, line charts, bar charts and gauges. A data dashboard is the most efficient way to track multiple data sources because it provides a central location for businesses to monitor and analyze performance.

Prognosis for 2040

Through data analyses and visualizations in GIS we give you insights into data, such as patterns, relationships, and situations to make smarter decisions in Spatial Planning.

Analyze population by age, gender, and interest categories. Create prognoses and a variety of possible scenarios to improve your studies and decisions.

Shows the growing and shrinking of the population of each municipality in the Netherlands projected to 2040

StraTopo works on the public transport and data projects.

This led to insights into the use of different modes of transport on certain connections. In what capacity do people take which connection, for example, the bus relative to the car, the train, the shared taxi or even the bicycle?

This gave us a first insight into which connections may have potential for more bus transport.

We have worked on projects we mainly focused on relationships between municipalities.

It became clear that one of the urban municipalities had a relatively much higher percentage of car trips compared to connections with shared mobility. This indicates that it may be interesting to investigate here whether shared mobility can play a greater role.

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