We designand implement governance structures that define clear ownership, decision rights, stewardship roles, and quality metrics. Our frameworks align with business priorities and regulatory demands, promoting accountability and driving consistency across all data domains.
Our data modeling services are the blueprint for organizing enterprise information. We bridge conceptual, logical, and physical models to ensure agility in integration and clarity inconsumption.
Using automated and manual methods, we identify critical data assets across the enterprise, catalog them, and define ownership and classifications.
We assess your current state using structured maturity models—identifying gaps in governance, metadata practices, integration workflows, and stewardship—and build a practical roadmap to elevate your capabilities.
Whether you're implementing your first data catalog or scaling a data governance platform, we help you configure tools to support workflows, access controls, compliance audits, and retention policies.
We define policies and processes for how data is created, validated, retained, and disposed—supporting both compliance (e.g., GDPR, HIPAA) and operational efficiency.
Track the impact of governance on business outcomes with governance KPIs—data quality scores, data usage insights, trust scores, and more.