Self-service access to safe data
Protect data and manage risk
Analyze conversational chat data
Right data in the right hands
Align control and business use
Controlled access to data
Flexibility, consistency, scalability
Our professional services
Power responsible use
From clinical to commercial
Optimize data tests
Open new revenue streams
Realize the potential of the cloud
Protect data from misuse
Transform your data
Opinion and industry insights
An A to Z of the industry
The podcast for data leaders
Press releases, awards, and more
Staying at the cutting edge
The team behind Privitar
A thriving partner ecosystem
Our story, values, and careers
Dedicated customer assistance
Jul 01, 2016
At this year’s Strata + Hadoop event in London, Privitar’s CTO, Jason McFall, gave a presentation on the significant privacy challenges posed by the use and sharing of big data sets.
The need to ensure privacy, McFall pointed out, creates a problem for innovation with big data, particularly when it comes to sharing data. Often organisations can gain significant insights by sharing data sets and collaborating with third parties. They can utilise analytical techniques to reveal solutions to seemingly intractable problems.
Once a data set is published, however, it is very difficult to recall. Time and again we’ve seen examples of sensitive, supposedly anonymised, data sets being published and then re-identified with techniques which were not anticipated.
Sorry, no posts matched your criteria.
Our team of data security and privacy experts are here to answer your questions and discuss how modern data provisioning can fuel business growth.