In the last two decades, the ability to collect personal information on individuals has opened up a new frontier, fueling innovation and enabling companies and organizations to deliver better, more personalized services at scale.
However, the use of personal data leads to increased risk of data leakage, misappropriation, and loss of trust. Organizations must proactively develop controls and processes to guard personal data in order to have sustained success in a data-driven world.
This document examines methods for transforming data in a manner that protects the privacy of individuals while preserving utility—some realizable benefit of data.
Our hope is that this document will provide you with an overview of the challenges and opportunities of privacy-aware analytics. Further, this document can help equip data analysts and scientists with a framework for understanding how to implement anonymization techniques within their data projects.
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