Marketing teams need to spot customer patterns without exposing names or contact details in every analysis. Pseudonymization replaces direct identifiers, such as names, email addresses, or phone numbers, with artificial identifiers or obscured fields. Records remain useful for analysis, but original reference keys can potentially link them back to individuals. section 2.3.3
Choose the technique according to the insight needed and the privacy risk:
- Pseudonymization preserves many record-level analytical possibilities, but the possibility of relinking means the data typically remains regulated. section 2.3.3
- Anonymization irreversibly alters or removes identifying information; aggregation summarizes records into groups. Both can reduce individual-level detail. section 2.3.3
Analysis without a displayed identity
An analyst might see that “User1235 purchased three items last week” rather than seeing the customer’s name. A partially masked card number, such as XXXX-XXXX-XXXX-1234, is another example of obscuring a direct identifier. section 2.3.3
Apply pseudonymization alongside data minimization when sourcing data and preparing it for analysis. It reduces exposure; it does not replace meaningful consent, secure handling, or governance throughout the data lifecycle. section 2.3.1 section 2.3.3
