Data Anonymization

Definition of Data Anonymization

The process of removing personally identifiable information from data sets to protect privacy.

Explanation of Data Anonymization

Data anonymization is the process of modifying personal data to prevent the identification of individuals while preserving the usefulness of the data for analysis and research. This involves techniques such as removing or masking personally identifiable information (PII), generalizing data, and using pseudonyms. Data anonymization is crucial for protecting privacy and ensuring compliance with data protection regulations, such as GDPR. It allows organizations to use and share data without compromising the confidentiality of individuals. Effective data anonymization balances the need for privacy with the requirement for actionable insights, enabling businesses to perform data analysis while minimizing privacy risks.

This dictionary entry was written by

Per-Gulbrand Peter Braathen

With a foundation in doctoral-level research, Per-Gulbrand Peter Braathen is a seasoned expert in the areas of marketing, branding and communication. His proficiency extends to marketing management, branding and communication strategy. Braathen's experience is underscored by his rich background from various industries, including entertainment. A distinguished alumnus of the USC Marshall School of Business, Braathen boasts a Master of Science in Marketing, complemented by a Graduate Certificate in the Business of Entertainment from the USC School of Cinematic Arts as well as two undergraduate Bachelor degrees from the esteemed University of Southern California.