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Setting up data governance processes around a data platform 

Schiphol's ambition is to create the most sustainable and high-quality airports in the world. With a route to waste and emission-free airports by 2030 and a autonomous airport in 2050 there are big challenges ahead. With an enormous amount of data being collected at Schiphol from sensors, flight movements, camera images and information systems, data plays a major role in realising these challenges. The Data Governance team, as part of the Data & Analytics department, ensures that a grip is put on this huge amount of data so that it can be used in a controlled and safe way. Linsey Vluggen and Jelmer Veldman were part of this team from IMPROVEN's Data Excellence team in 2021 and 2022.


The Data & Analytics department builds a data foundation with data platforms in which external and internal data from different business areas is brought in, cleansed, transformed and integrated. This platform serves as a central place for delivering business value with a data product which is developed by Business Intelligence (BI), Artificial Intelligence (AI) and Analytics teams. For this, there was a major challenge to be able to extract value from the available data on the one hand and to ensure compliance with external regulations and internal (governance) policies. 

Our approach and results

The Data Governance team contributes to achieving a reliable data product. Linsey and Jelmer were part of this team and carried out the following activities to solve the issue: 

  • Figuring out and implementing the process from data source to data product. Consider having a valid business case and performing sufficient checks. This ensures data is made available for AI, BI and Analytics in a controlled manner. 
  • Establish guardrails around the use and administration of data to ensure that data are reliable, used and processed in an ethical manner and in line with laws and regulations. 
  • Lead data quality improvement projects to identify (together with the business) the current data quality and take actions for improvement. 
  • Capturing metadata in tooling: creating data descriptions, links to logical and conceptual data models, business terms and data classifications.  
  • Drafting Data Delivery Agreement Template and associated process. 
  • Coordinate with stakeholders in the business on their data needs and assist the Data Leads. 

This allowed value to be extracted from the huge amount of data available at Schiphol in a controlled and secure way. Think about making insights and improving the baggage, security, turnaround or check-in process.  

Could your organisation also use help in setting up data governance? If so, please contact Ramon van den Heuvel.

Want to know more about this topic? Please contact 

+31 6 10 89 68 79 Ramon van den Heuvel