Receive up to € 20k to create your proof of concept


Access to leading corporate partners and opportunities for long-term collaboration
Receive up to EUR 20,000 in funding to draft a proof of concept – without giving up equity
Real-world use cases and unique datasets from established corporations

Data Challenges

DataHub Ruhr is a business building program that connects start-ups with established corporations in the Ruhr region. The program tasks start-ups with developing innovative, data-driven ideas to tackle use cases provided by our corporate partners. As part of a three-month collaboration, start-ups will draft a proof of concept, with the opportunity to receive up to EUR 20,000 in funding.
Service Provider Monitoring
Vonovia has more than 350,000 apartments in Germany and cooperates with various service providers. For example, winter services that are called out when snow and ice occur. Okeanos developed a solution that reduced the time needed to check reported deployments from three days to less than one day.
Do you want to raise the quality and service of Germany’s largest residential property company to the next level? Help Vonovia SE maintain the high quality assurance of its many services, such as ice and snow control. Develop a smart algorithm that indicates the necessity for a particular service, based on weather conditions and other factors that come to your mind. The reward is huge: there will be hundreds of thousands of happy tenants that would benefit from the use of your application.

Use Case

Vonovia SE is Germany’s largest residential property company with around 400,000 apartments in Germany, Austria and Sweden. Vonovia is committed to ensuring high quality and safe living environments for its tenants. In order to do so, it coordinates many service providers that perform tasks all year long, such as gardening, winter and cleaning services. Some of those services are even required by German law. 

However, demand for some of the services is difficult to predict. For example, take winter road clearances: they may be required every day in case of continuous snowfall and ice, or only on a few days each month. Furthermore, there is a spatial component involved, so that some units may require a particular service whereas others do not. Either way, Vonovia needs to guarantee a safe and orderly environment around its housing units at all times. 

This is where you can create great value to Vonovia. At the core of this challenge is the development of an application that provides an indication of the necessity of ice and snow control services. This would help Vonovia understand where and when services are needed, and whether service providers have issued accurate invoices. Vonovia provides plenty of data regarding its housing units, such as precise location, adjacent streets and pavements, and square meters of the units. Furthermore, all rendered services are tracked in terms of time, place and type.

It is your task to incorporate weather data and other data sources you think might be of value into the model. For example, publicly available video recordings could provide an indication of snowfall.

Besides the data points mentioned in the data sample, weather data of Deutscher Wetterdienst (CDC) is used:
This data can be accessed for free.

If startups have ideas or requirements for additional weather data sources, they shall be mentioned in the application documents

What you will need

  • In-depth knowledge of probabilistic model development and cluster analysis
  • Software engineering skills to implement a MVP application
  • Experience with data integration tasks including external data (e.g. weather data)

Expected result

  • An application that indicates the necessity for ice and snow control services each day for a particular housing unit
  • The application is based on a probabilistic model that accounts for internal and external influential factors, not only the regional weather forecast
  • If the pilot proves successful, the application should be rolled out to multiple regions


The project can be divided into three milestones:

  1. The first milestone is reached when relevant data sources are identified (e.g. local weather forecast, video streams, news reports, smart city sensors) and data integration is established. 
  2. The second milestone requires the development of an application that outputs a value for the necessity of a service for a housing unit. The most prominent use case is snow and ice control services. A pilot for a particular housing unit or region (tbd.) should be developed and tested.
  3. Third, if testing of the pilot has been successful, the application should be rolled out to more housing units or regions.

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Let's talk

Felix Schröder
Program Manager DataHub Ruhr

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Let's talk

Felix Schröder
Program Manager DataHub Ruhr