Effective ETL processes ensure that datasets are accurate, consistent, and aligned with industry standards. Additionally, data anonymization techniques can be applied during ETL to remove sensitive information, ensuring compliance with regulations such as GDPR, HIPAA, or CCPA. For healthcare and finance industries, this ensures that datasets used in AI development are both high-quality and legally compliant, reducing risks while maintaining data integrity.