Guides ยท Business
Data Anonymization Basics
Reduce identifiability in data
Effective anonymization drops direct identifiers, generalizes or buckets quasi-identifiers, adds noise where needed, and assesses re-identification risk before sharing or analysis.
- anonymization
- de-identification
- privacy
- noise
- aggregation
Remove Direct IDs
Strip names, emails, device IDs; replace with tokens.
Reduce Linkability
Bucket ages/locations; limit rare combinations.
Test Risk
Assess re-identification risk; add noise or k-anonymity safeguards.