DataGuard — Data Governance, Quality & Compliance Accelerator

Your data platform is built. Now make it trustworthy, governed, and audit-ready. DataFoundation gave you the lakehouse. DataGuard makes it enterprise-grade — transforming a working data platform into a trusted, compliant, and auditable data asset that your CDO, CISO, legal team, and regulators can rely on, and that your AI and analytics workloads can build on with confidence. GDPR fines exceeded €5.6 billion in 2025. Without a governed data platform, every analytics report, every AI model, and every dashboard carries regulatory and reputational risk. DataGuard eliminates that risk through automated, enforced governance built directly into the architecture of your AWS lakehouse — not policy documents and manual audits. Enterprise data catalog — Amazon DataZone TruVs configures Amazon DataZone as your central governance hub — enriching every table, column, and dataset across your Bronze, Silver, and Gold Medallion layers with business context, ownership, classification tags, usage policies, and quality scores. Every data asset becomes discoverable, trusted, and governed from a single pane of glass, with built-in workflows for access requests, approvals, and governed data sharing across teams. Data quality framework Automated quality rules covering completeness, accuracy, consistency, and timeliness are deployed across all Medallion layers. Quality scores are published to Amazon QuickSight dashboards in real time, with AWS CloudWatch alerts on breaches. Quality gates embedded in the DataOps CI/CD pipeline prevent degraded data reaching the Gold layer without approval. End-to-end data lineage Column-level lineage across all pipelines using Amazon DataZone and AWS Glue Data Catalog provides complete provenance from source system to analytics dashboard — enabling organisations to demonstrate to regulators exactly how data was handled. Audit-ready on day one. Fine-grained access controls — AWS Lake Formation Role-based access policies aligned to your organisational structure — data owners, domain analysts, and executive consumers each receive precisely the access their role requires. Full access event audit trails captured in AWS CloudTrail. Regulatory compliance framework GDPR: Automated PII discovery and classification via Amazon Macie. Right-to-erasure workflows using Lake Formation row-level delete. Data retention rules, consent metadata, and cross-border transfer controls embedded in DataZone. AWS CloudTrail provides GDPR Article 30 Records of Processing Activity documentation. HIPAA: Technical safeguards for Protected Health Information — encryption at rest (AWS KMS) and in transit (TLS), minimum necessary access via Lake Formation, PHI de-identification patterns for analytics use, and AWS Audit Manager HIPAA framework for continuous compliance monitoring and reporting. PCI DSS: Cardholder data isolated in dedicated, network-segmented S3 buckets with Lake Formation restrictions. PAN tokenisation and masking in Silver and Gold layers. AWS Config rules monitoring PCI DSS controls 3, 4, 7, 8, and 10. AWS Security Hub for centralised compliance findings. Data governance operating model TruVs delivers the people and process layer that sustains governance after engagement close: data steward role definitions, data ownership matrix, governance operating cadence, escalation paths for data quality incidents, and a Data Governance Charter for board presentation. Deliverables include: Amazon DataZone catalog configured across all Medallion layers · Data quality rules, QuickSight dashboards, and CloudWatch alerting · Column-level lineage · Lake Formation access control policies · GDPR PII tagging, RTBF workflows, and CloudTrail audit logs · HIPAA encryption and de-identification patterns · PCI DSS cardholder data isolation and PAN masking · AWS Audit Manager compliance framework · Data Governance Operating Model and Charter. Typical engagement: 6–10 weeks. Phase 4 of the TruVs Data Modernization Solution, building directly on DataFoundation. Contact ask@truvs.com .