Data Privacy Day is now much more than a day of focus on protecting your online data and personally identifiable information; it is now a stark reminder to everyone as to just how much our personal privacy is in jeopardy and how each of us must defend and protect this right.
When big data involves personal data, the principles of data protection still apply. This is not just a compliance issue—it’s about fairness, transparency and trust. Getting data protection right helps organizations to realize the benefits of big data.
With the growth of big data and analytics comes additional responsibilities to ensure privacy. Privacy engineering are the tools, use case scenarios and measures to insure that privacy has been designed into your solutions and operational practices.
In a recent article published on Information Age, Richard Lee said there is much discussion these days about data privacy and security, but precious little about trust. He expressed concern: "Trust is hard to achieve, easy to lose and almost impossible to regain." Richard joined us to discuss how
The biggest roadblock to big data and analytics capitalization stems from people, not data. A fragmented approach to investments and decisions can result in a breakdown of trust between different groups of people who may be accessing, interpreting and using data in different ways. The right level