Beyond De-Identification: The Synthetic Data Solution

Posted June 25, 2019 in Data Analytics & Digital Technologies
Synthetic data

An ongoing challenge with big data and other secondary analytics initiatives is getting access to data. This Advisor describes a risk-based approach to de-identification, in which the data is transformed and administrative and technical controls are put in place.

About The Author
Khaled Emam
Khaled El Emam is Professor at the University of Ottawa, Canada, Faculty of Medicine, where he previously held the position of Canada Research Chair in Electronic Health Information. He is also founder, President, and CEO of Privacy Analytics Inc. As an entrepreneur, Dr. El Emam has founded or cofounded five companies involved with data management and data analytics over the last two decades. He has worked in technical and management positions… Read More
Richard Hoptroff
Richard Hoptroff is a long-time technology inventor, investor, and entrepreneur. He is the founder of Hoptroff London, a timing synchronization service provider. Dr. Hoptroff has leveraged his expertise in timing technology and software to develop a hyperaccurate, synchronized timestamping solution for the financial services sector, based on a unique combination of grandmaster atomic clock engineering and proprietary software. In 2013, he… Read More
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