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.
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Innovation Insights Map
Help Vonovia SE to make better business decisions by gathering and unlocking a multitude of highly relevant sets of external data points and by bringing them all into an easy to use “Innovation Insights Map”. This tool shall become a central source of truth whenever the company considers to realize and locate new ideas or services for their tenants all over Germany. It will link the company’s own data on each of its buildings and their locations with insightful information from other sources, putting Vonovia in a position of being able to extend its knowledge about the vicinity of each of its many buildings and the needs of local tenants systematically. Data-driven, Vonovia will be able to easily find the best viable spots for putting innovation projects into reality, relying on the “Innovation Insights Map”.

Use Case

As Europe's leading private residential real estate company, Vonovia SE currently owns around 416,000 residential units in all attractive cities and regions in Germany, Sweden and Austria. The portfolio of it is worth approximately € 58.9 billion. Additionally, Vonovia manages around 74,000 third-party apartments. As a modern service provider, Vonovia focuses on customer orientation and tenant satisfaction. Thus, the company is committed to help current and prospective tenants and their families in finding a great place to live that best suits their individual needs and boundaries. In order to do so, Vonovia puts some tremendous effort in “value add” approaches that define the way the company deals with living in the future. In order to be successful, it will be critical to evolve such approaches as data driven as possible. Nevertheless, there is still an undefined amount of data-sets available (internally as well as externally) that is currently unused or at least not systematically exploited in combination.

The goal of this use case is to make a large number of additional external data easily accessible as layers of an interactive map. This map shall enrich existing information of buildings owned by Vonovia (e.g. location, age, number of apartments) with details of its surroundings (e.g. closest supermarket, best school within a short distance, availability of charging stations, reachability of shopping opportunities, etc.) and preferably a plentitude of “really not easily available information”, getting to know the community and the needs of local people even better. 

Starting from this, it should then be possible to define individually derived “best-location layers” for specific innovation ideas, e.g. best locations for realizing a car sharing lot or best locations for additional public transportation services. By offering this feature, the tool will play a central role in finding best-suited target groups for testing and piloting new business models for Vonovia, in selecting and ranking geographic areas for specific sales activities and last but not least in quantifying the market potential for further “value add” approaches (e.g. investments into e-mobility infrastructure).

We expect the solution to be easily extendable by additional map layers and location attributes, making the tool versatile for the future and for integrating even more internal and external data sources. A dedicated data model and well documented universally usable interfaces will additionally be needed.

Help us to build our “Innovation Insights Map” and set the basis for a new data-driven approach of deciding where to place innovation!

What you will need

  • Experience in geo-referenced spatial data handling and GIS technologies
  • In-depth knowledge of data base development / data engineering / API management 
  • Software engineering skills to implement a high-performance MVP that is fully usable in an operative IT environment
  • Understanding of UX/UI and visualization, preferably Tableau
  • Experience to work with data in a General Data Protection Regulation (GDPR) sensitive environment

Expected result

  • Creative and extensive search for a multitude of new and highly valuable external data sources (dominant areas of interest to be defined with Vonovia up-front), preference for cracking “the hard nuts” that are not easily available
  • An expandable universal data model that is able to handle internal and external data with reference to the location of individual buildings or groups of buildings (e.g. districts, quarters)
  • Easy data selection and visualization for business end-users via an interactive map 
  • Ability to select and highlight map layer layers defined by external data (hint: provide a list of layers you consider most relevant to Vonovia and that are easy to implement as part of your application documents)
  • Frictionless user journey
  • Fully GDPR-compliant backend and interfaces
  • Ability to host the final solution on premise inside a Vonovia data center


The project can be divided into three milestones:

  1. Collection and integration of available external map data based on most current requirements by Vonovia

  1. Creation of a professional data management infrastructure and an easy to use visualization frontend (an interactive map able to expand, select, combine attributes etc.)

  1. Realizing readiness for further data enrichments (e.g. for potential combination with internal data)

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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