Data anonymization

Data anonymization is the use of one or more techniques designed to make it impossible to identify a particular individual from stored data related to them. That kind of data bring significant benefits to businesses collecting data since anonymous data is not personal data for the purposes of GDPR.

Anonymous data doesn’t require any additional safeguards to ensure its security. Among other things, this means that, you don’t need to get consent to process it and it can be exported internationally.

In terms of GDPR we can anonymize data such as:

  • login details
  • device IDs
  • IP addresses
  • cookies
  • device type
  • language preference
  • time zones

Example methods of data anonymization:

  • Noise Addition – example: height: 180 cm → height: 320 cm
  • Aggregation – example: Age: 30 → Age: 20-35
  • Substitution – example: : 10120 → ZIP: postcode

To get more details on data anonymization, read the Piwik PRO blog:


  • 25 years of digital analytics with Brian Clifton: The real challenge for the future is to make sense of data

    Organizations are becoming more and more aware of data-driven strategies, so understanding the complexities surrounding data quality, privacy, and technological advancements becomes crucial for their future success. They also need to rely on new tools, often supported by AI, to adapt to changes in the digital analytics field. Dive into the fourth and final episode…

    Read more

  • Is Google Analytics HIPAA-compliant?

    Disclaimer: This blog post is not legal advice. Piwik PRO provides privacy-friendly analytics software, but does not provide legal consultancy. If you’d like to make sure you’re in compliance with HIPAA guidelines, we encourage you to consult an attorney. SUMMARY Healthcare organizations use analytics platforms to collect and analyze data about their patients. The data…

    Read more