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Privacy by design

Privacy by design means that privacy must be the primary principle in designing and developing software, and should be assured by the way organizations operate. It has to be taken into consideration from the beginning of every project and throughout its entire lifecycle.

The concept was initially defined by Ann Cavoukian for systems engineering and has since been widely adopted by various organizations, becoming an obligation under GDPR . According to the Regulation, you need to incorporate safeguards into data processing from the initial phases of design of processing operations, both at the technical and organizational levels.

More about privacy by design on the Piwik PRO blog:

Privacy by design under the GDPR

  • Privacy by design in practice: How “just enough” data beats “just in case” collection

    While collecting more data “just in case” feels safer, according to Matt Gershoff, it’s also one of the biggest sources of unnecessary compliance risk, analytical noise, and wasted organizational resources in the analytics industry today. His approach of “just enough” data collection is more intentional, more aligned with privacy regulation, and often more analytically effective.

  • 4 ways to make your analytics HIPAA-compliant: Implementation guide

    Healthcare organizations have four main approaches to achieving HIPAA-compliant analytics. Each has different trade-offs in cost, technical complexity, and analytics capabilities. This guide compares all four implementation methods – from using Google Analytics with workarounds to deploying fully HIPAA-compliant analytics platforms – so you can choose the right approach for your organization’s needs and resources.

Other definitions

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