Data Privacy

Data Privacy:

Privacy means all the rules and processes that are in place in an organization to manage and protect sensitive data while it's being used by authorized staff and technology (e.g. for analytics, Test & Dev, or machine learning, etc).
The terms "Privacy" and "Security" are sometimes used synonymously, but they mean different things: Security refers to measures that protect data against unauthorized access.
Privacy and Security are complementary: organizations need to put both in place to sufficiently protect their data against breaches. Privacy technology plays a crucial role in making those data processes consistently safe, repeatable, and auditable - which is key for organizations looking to drive more value from their proprietary data.

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Data de-identification 101 Webinar

The privacy fallacy: Why we need to stop thinking of data protection as an inhibitor of enterprise analytics

It’s easy to see how data protection can be a source of frustration. But privacy concerns often stand in the way of users getting fast access to the data they need.

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