Data anonymization

Data anonymization is the use of one or more techniques designed to make it impossible – or at least more difficult – to identify a particular individual from stored data related to them.

In terms of GDPR we can anonymize data like:

  • 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

The Ultimate Guide to Data Anonymization in Analytics [Updated]

The Most Important Benefits of Data Pseudonymization and Anonymization Under GDPR

Anonymous Tracking: How to Do Useful Analytics Without Personal Data