Data anonymization is a critical step in protecting individual privacy. It involves the removal or alteration of personally identifiable information (PII) from datasets. Techniques include:
Removing names, addresses, and other direct identifiers. Aggregating data to higher levels of geography or time. Using pseudonyms in place of actual identifiers.
