Data anonymization entails the process of removing or modifying personally identifiable information from datasets, ensuring individual privacy while still allowing data to be used for analysis or research. This technique safeguards user identities and complies with privacy regulations, enabling organizations to leverage valuable insights from data without compromising individual confidentiality.