Data Maturity Assessment
Before you govern your data or adopt AI, you need to know where you stand. We measure your data maturity and hand you a prioritized roadmap — a low-commitment data-readiness diagnostic.
What a data maturity assessment is
It's a structured diagnostic of how prepared your organization is to govern its data and build on it — reliable analytics, AI, compliance. Not a months-long audit: an actionable snapshot of where you stand and the gaps that matter most.
What we assess
Six dimensions that determine whether your data is ready for governance and AI.
Catalog & discovery
Does the organization know what data it has, where it lives and what it means? Inventory, documentation and discoverability.
Data quality
Freshness, completeness and consistency. Are there baselines and monitoring, or are issues found when it's already too late?
Lineage & traceability
Can a data point be traced from source to consumption? Change impact and trust in reporting.
Governance & ownership
Policies, data owners, classification and access control. Who is accountable for each asset.
Compliance & PII
Identification of sensitive data, classification and traceability for regulatory compliance.
AI readiness
Is your data reliable and well-described enough to power advanced analytics and AI agents?
From diagnostic to roadmap
A short, focused process — not a months-long project.
Discovery
An initial session to understand your stack, data sources, teams and business goals.
Assessment
We measure the six dimensions against a data-readiness framework and prioritize gaps by impact.
Roadmap
A deliverable with findings, maturity level and a prioritized plan of next steps — in under 48 hours.
What you get
A clear deliverable your team and leadership can use to decide — no unnecessary jargon.
The natural next step: implement governance
Once the assessment sets the direction, we implement on OpenMetadata: catalog, lineage, quality and policies.