Why data governance matters
Data is a strategic asset, but mishandling it can lead to fines and reputational damage. Regulations like GDPR and the EU’s Data Act impose strict requirements on how data is collected, stored and processed. With the proliferation of cloud services, data may be stored across multiple regions, complicating compliance.
Key components of a data governance framework
- Data classification: Identify sensitive information (personal data, financial records, intellectual property) and apply appropriate controls.
- Access controls: Implement role‑based access and enforce least privilege.
- Lifecycle management: Define retention policies and ensure secure deletion when data is no longer needed.
- Audit and monitoring: Maintain logs of who accessed what data and when to support forensic analysis and regulatory audits.
Compliance best practices
- Privacy by design: Incorporate privacy principles into system architecture from the outset.
- Cross‑border data transfers: Ensure that transfers comply with data residency requirements and standard contractual clauses.
- Third‑party risk management: Evaluate vendors’ compliance and security posture before sharing data.
BrainTrust’s compliance expertise
We design data governance frameworks, conduct compliance audits and implement policies that align with GDPR, CCPA and other regulations. Our consultants guide you through risk assessments and remediation plans.
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