Example Concept: Pseudonymization involves substituting sensitive data elements, such as names or social security numbers, with pseudonyms that cannot be easily traced back to the original data without additional information. This process allows organizations to analyze data sets for trends and insights without compromising individual privacy. It is a key technique in privacy-preserving data analytics, ensuring that data remains useful while reducing the risk of identity exposure.