Analytics without tears Or is there a way for data to be anonymized and yet still useful?

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Abstract
In this article, we discuss the new requirements for standards for policy and mechanisms to retain privacy when analyzing users' data. More and more information is gathered about all of us, and used for a variety of reasonable commercial goals-recommendations, targeted advertising, optimizing product reliability or service delivery: the list goes on. However, the risks of leakage or misuse also grow. Recent years have seen the development of a number of tools and techniques to limit these risks, ranging from improved security for processing systems, through to control over what the results disclosed. Most of these tools and techniques will require agreements on when and how they are used and how they interoperate.

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