EXECUTIVE SUMMARY
The Problem,
By the Numbers
THE KEY INSIGHT
Data governance today works like a speed limit sign with no cameras and no police. Under DORA, NIS2, and the EU AI Act, "assumed compliance" is no longer legally sufficient.
WHAT WE MEASURED ACROSS 99 ORGANISATIONS
The 23-point gap between "policy exists" (61%) and "policy enforced" (38%) represents the systemic risk EU regulators are now targeting.
BOTTOM LINE
European enterprises govern by document. Zero can prove enforcement in their pipelines.
METHODOLOGY · HOW WE MEASURED IT
How We
Measured It
This benchmark evaluates 99 European enterprises across 8 sectors. We analysed over 400 public disclosures, vendor agreements, and governance frameworks using the Open Data Governance Standard maturity model.
SAMPLE DISTRIBUTION (N=99)
FIN 20
TECH 15
GOV 13
NRG 12
RTL 12
LOG 12
HLT 10
TEL
Evaluation Criteria
Scores are not based on self-reported compliance. We measured machine-verifiable policies, automated quality enforcement, and metadata integrity across operational systems.
5-Point Maturity Scale
Level 1 (Ad Hoc) → Level 5 (Optimised) across 8 pillars aligned to DAMA DMBOK: Governance Foundations, Quality Enforcement, Operational Readiness, Metadata Integrity, Adoption, Certification & Trust, and Bridge Connectivity.
806-Point Cross-Reference
Each of 199 governance artefacts cross-referenced to APQC, CDMC, BIAN, and DAMA DMBOK — typically 3–6 months of manual consulting effort, reproduced programmatically.
REPRODUCIBILITY
Run odgs maturity audit against any public governance artefacts. Apache-2.0.
DATA SOURCES
Public filings, ESG disclosures, vendor agreements, ISO/SOC certifications, regulatory enforcement actions.
OPEN SOURCE
Every score is machine-generated and reproducible. No self-reported data. Apache-2.0 licensed.