Regulatory Compliance & ESG

Data governance supports regulatory compliance by helping establish policies and controls that can support data accuracy, security and privacy. It helps organizations manage data consistently, track data usage and maintain audit trails, making it easier to meet legal and industry regulations while reducing risks of non-compliance.

Key governance features for regulatory compliance in data platforms include data quality management, access controls, audit trails and data lineage tracking. They can help support data security, privacy and accountability by enforcing policies, monitoring usage and maintaining compliance with legal standards and industry regulations.

To choose a data governance partner for regulatory compliance, look for expertise in relevant regulations, strong data security practices and proven experience with compliance frameworks. Evaluate their technology capabilities, integration support and ability to provide ongoing monitoring and reporting. Prioritize partners with a solid reputation, transparent processes and a collaborative approach aligned with your business needs.

Yes, data governance helps with ESG reporting by ensuring accurate, consistent and reliable data collection and management. It establishes clear policies and controls to track environmental, social and governance metrics, making it easier to meet reporting standards, maintain transparency and support regulatory compliance.

Organizations can prepare for AI governance regulations by establishing clear policies for ethical AI use to support transparency and accountability in AI systems, and implementing robust data privacy and security measures. They should also stay informed about evolving regulations, conduct regular risk assessments and invest in training to build AI literacy across teams. Collaborating with legal and compliance experts helps meet adherence to regulatory requirements.

Data governance and AI governance work together by helping to ensure data quality, security and compliance while overseeing the ethical and responsible use of AI systems. Data governance provides the foundation of trusted data, while AI governance manages AI model transparency, fairness and accountability, helping organizations to use AI effectively and responsibly.

Informatica can help with regulatory compliance by providing comprehensive data governance, data quality and security solutions. It can support organizations to manage, monitor and protect data across systems, and helps ensure accurate reporting and adherence to regulatory requirements. Informatica’s tools can help with audit trails, data lineage and policy enforcement to simplify compliance and reduce risk.