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Design of data labs
and AI platforms


In public administration, data labs for the explorative analysis of departmental data have become a standard requirement.  Separated island solutions should thus be a thing of the past. But how are they designed? What needs to be considered when planning them? 


  • Data labs and AI platforms enable a centralized analysis of datasets with BI and AI tools. 
  • The first step is to develop a data map that can provide an overview of the existing datasets. This requires identifying the data owners within the organization and cataloging their datasets using metadata.  
  • At the same time, use scenarios of AI evaluations are identified, defined and prioritized on the basis of the datasets. 
  • Based on the datasets and your use cases, a basic architecture can be defied for the future data lab. 
  • In a further step, the security concept and the rights to use the data are assessed or created and rules for accessing, using and updating data are created. 


Data is the new oil. Through the use of AI, your datasets can bring new benefits and show savings potentials. A data lab or AI platform is the foundation for internal analysis of datasets. Take advantage of our experience in designing and developing strategies for data labs. 

Your contact

Christian Meyer  msg

Christian Meyer
Principal Business Consultant
msg artificial intelligence