How you can harness data in a privacy-friendly way

After reading the whitepaper, you have gained knowledge about:

• Economic potential. Recent analyses show that the availability and exchange of data can lead to economic growth of 1.5% of GDP (source OECD, „Enhancing Access to and Sharing of Data: Reconciling Risks and Benefits for Data Re-use across Societies,” OECD Publishing, Paris, 2019). How can your organisation profit from this?  
• Societal impact. Personalised healthcare is an example of this. In addition, government bodies can improve their services for citizens. 
• Applications. We show cases that include TNO working together with partners. Read how smart data analyses can reduce the impact of cancer and how data analyses can help fight poverty. 
• Technology. How do insights without data sharing actually work? How is the privacy of citizens safeguarded? And how can you harness data without sharing competitive information? We explain how Multi-Party Computation and Federated Learning work. 

In our opinion, it is time for a new starting point in the processing of sensitive data: moving away from the traditional centralised method of data processing and towards distributed data processing. You don’t need to actually have the data to create value from it – so don’t share data but use insights from diffuse data sources while ensuring privacy and confidentiality.