The cloud platform for individualized location analytics and business intelligence
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A decision support tool that enables real-estate managers to take strategic location-based business decisions, anywhere
Easy data access
Direct access to a large data pool of structured information and interactive work in maps
Run custom analysis
Use your expertise or apply latest AI methods for your business.
Get and share insights
Have one tool at hand to objectivize all processes in your team
Our modules support different processes in real-estate management and can be linked or be used separately
Search for sites which fit your strategy
Evaluate a specific location at local and regional scales
Manage portfolios with customized BI-support
What are the keyfeatures of our products?
> 200 Mikrodatasets
At the push of a button, you can find out all the relevant details on socioeconomics, points of interest, the built environment and accessibility.
Create a report with address specific evaluation. Our Local Report can be triggered directly from the application and is calculated for the location. Adapt the content and layout of reports to your needs and personal layout.
Create your personal location rating, simple or complex, without any further software knowledge and save it for an objective and consistent application.
Save the locations of your portfolio and compare the relevant parameters at a glance.
Consider the potential of a location in your location strategy. We process spatial decisions into "predictive layers" that quantify the potential of a location. The layers can be queried individually or condensed into ratings.
Our database is the only one to allow for crossnational comparison of locations.
Patrick M. Schirmer
Dr.sc ETH / Dipl.-Ing. Arch Vision and Business
An urban planner and urban data scientist with over 10 years of practical experience in spatial developments. Patrick holds a PhD from ETH Zurich in urban simulation and developed models for the Swiss real estate market before starting to work on his vision with UrbanDataLab in 2018.
M.sc ETH / Statistics Machine Learning
An experienced data scientist with an MSc in statistics from ETH Zurich and a bachelor's degree in economics from the University of St. Gallen (HSG). He worked for 3 years as a data scientist in PropTech, is active in open source development and wants to make the world a better place.
M.sc International Management Product and Business Development
Dipl. Ing ETH Innosuisse Coach
Managing Director Financial Industry Business Advisor
Prof.Dr./Dipl.-Ing Scientific Advisor
Msc BA / Bsc FM Business Network
"With over 900 apartments in the Baden/Wettingen area, we know our region and its real estate market quite well. However, the data-driven evaluations of UrbanDataLab have given us new insights on our properties and neighborhoods that surprised even us. UrbanDataLab's analyses make locations objectively comparable and are an important decision-making aid for our portfolio development strategy."