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.