Anonymization is the process of removing or altering personal information from data sets so that individuals cannot be easily identified. This technique is commonly used in fields like healthcare and research to protect privacy while still allowing for data analysis. By replacing identifiable details with pseudonyms or aggregating data, organizations can share valuable insights without compromising individual privacy. Anonymization helps ensure compliance with regulations such as the General Data Protection Regulation (GDPR) while enabling the use of data for various purposes, including statistical analysis and machine learning.