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.

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 Piwik PRO blog:

  • The ultimate guide to data anonymization in analytics
  • The most important benefits of data pseudonymization and anonymization under GDPR
  • Anonymous tracking: how to do useful analytics without personal data