Anonymisation

Anonymisation is a process used to protect individual privacy by removing or altering personal information from data sets so that individuals cannot be identified. This involves techniques like stripping away names, addresses, or other identifiers, ensuring that the remaining data can be used for analysis without revealing personal details. The goal is to balance data usefulness with privacy protection, allowing organizations to analyze trends or patterns without compromising individual confidentiality. Anonymisation is essential in contexts like research, statistics, and data sharing, helping to safeguard privacy while enabling valuable insights.