Data anonymization means the process of removing or altering personal identifiers from a dataset, ensuring that individuals cannot be easily identified. This practice helps protect privacy while still allowing organizations to analyze data for insights. By anonymizing data, businesses can comply with data protection regulations and share information without risking customer privacy. Anonymization is vital in industries like healthcare and finance, where sensitive information must be handled with care while remaining useful for analysis.