Data Governance & Trust

Data ownership frameworks, metadata catalogs, upstream data contracts, zero-trust masking, and EU AI Act readiness.

Tangible Advisory Deliverables

Actionable frameworks and engineering specifications, not theoretical slide decks.

Clear accountability matrix assigning domain data owners, stewards, and operational service level agreements (SLAs).

Upstream schema and semantic contracts enforced via CI/CD to prevent breaking changes in production pipelines.

Automated scanning and column-level lineage tracking from raw source capture down to executive BI reports.

Zero-trust masking, role-based access control, privacy preserving policies, and EU AI Act readiness frameworks.

99.9%

Compliance with Data Privacy Standards

80%

Reduction in Pipeline Breakages via Contracts

100%

Auditable Lineage for Critical Metrics

< 24h

Time to Detect Upstream Data Drifts

Phase 01

Current state assessment of architecture, team velocity, data pipelines, and business friction.

Phase 02

Design of future-state architecture, build vs. buy evaluations, and vendor RFP reviews.

Phase 03

Establishing governance cadence, cross-functional data contracts, and quarterly milestones.

Phase 04

Advisory oversight of engineering execution, steering committee reviews, and metric tracking.

Schedule a confidential executive sparring session with Tri Truong to evaluate trade-offs.