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What is Non-personal data?

Non-personal data is information that does not identify a specific individual and does not contain personally identifiable information (PII). It includes aggregated statistics, anonymized records, and environmental data, commonly used in market research, analytics, and public policy development.

Data Anonymization
Data anonymization is the process of modifying personal or sensitive data to remove or mask identifying information, ensuring privacy and compliance with regulations like GDPR and HIPAA. Techniques include data masking, tokenization, and synthetic data generation, making it crucial in AI training, healthcare analytics, and cybersecurity.
Encryption
Encryption is a cybersecurity technique that converts data into a coded format to prevent unauthorized access. Common encryption methods include symmetric (AES) and asymmetric (RSA) encryption, essential for secure communications, financial transactions, and data protection.
Data classification (business intelligence)
Data classification (business intelligence) is the process of organizing business-related data based on sensitivity, value, and usage. It helps companies enhance reporting, optimize decision-making, and comply with data governance policies. Businesses use classification to structure data for predictive analytics, regulatory compliance, and performance optimization.

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