Data-Driven Insights from Safely Combined Datasets

Presented by

Federico Benedetto, Product Manager, Privitar

About this talk

Linkability between datasets is essential, as some of the most valuable insights in data science come from connecting different data sources. But as you combine these different datasets, the data becomes increasingly sensitive and at risk. Seemingly innocuous attributes can be combined together to give reveal sensitive information. This webinar will demonstrate how to safely collect and join data from various sources, as well as control linkage of disseminated datasets. Join this session to: - Learn about the benefits and risks of linking datasets. - Learn about the techniques that can be employed to control direct and indirect linkability with Protected Data Domains and generalisation techniques.
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The world is waking up to privacy risk and privacy harms. There is a clear realisation that unless we incorporate privacy into every aspect of the data supply chain we run the risk of impeding innovation and exposing customers to harm. Privitar’s mission is to promote and facilitate the ethical and safe use of valuable data assets. Using leading privacy engineering techniques, we help companies get maximum value from data while preserving customer’s privacy.