2026 European Data Governance Maturity Benchmark

The 38%
Problem

Why Europe's data governance policies don't reach the pipeline.

99
Enterprises Scored
8
Sectors Benchmarked
23pt
Enforcement Gap
0
Reached Level 5
Open Source Protocol · Machine-Verified Scores · 400+ Public Disclosures Analysed · Apache-2.0 Licensed
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THE CENTRAL QUESTION

Your Organisation Has Data Governance.
Can You Prove It Works?

Every organisation in this study has governance policies. Committees approved them. Boards signed them. Auditors reviewed them. When we tested whether these policies are actually enforced in live data pipelines — programmatically, continuously, with cryptographic proof — the answer was identical across 99 enterprises and 8 sectors:

No.
NOT A SINGLE ORGANISATION COULD DEMONSTRATE AUTOMATED ENFORCEMENT
COMPLIANCE DASHBOARD
"All policies approved. Annual audit passed. Governance status: Green."
WHAT'S ACTUALLY IN THE PIPELINE
Data definitions drift silently. Rules exist on paper but not in code. Nobody notices until the damage is done.
THE GAP European enterprises govern by document. Regulation demands governance by proof. This is the 23-point gap.
FULL REPORT — 27 PAGES

What's
Inside

8 SECTOR DEEP-DIVES
Financial Services
Healthcare
Technology
Energy & Infrastructure
Retail & Consumer
Logistics & Industrial
Government & Public
Telecom & Media
6 REGULATORY FRAMEWORKS
DORA EU AI Act NIS2 GDPR EU Data Act eIDAS 2.0
99 ORGANISATIONS SCORED
ING Group · ABN AMRO · Deutsche Bank · BNP Paribas · Barclays
Roche · Novo Nordisk · AstraZeneca · Novartis · Sanofi · Bayer
SAP · ASML · Siemens · Philips · Nokia · Booking.com · Spotify
Shell · TotalEnergies · Iberdrola · Enel · E.ON · Vattenfall
Maersk · Deutsche Telekom · Vodafone · Orange · Ahold Delhaize
↑ unlock individual scores and rankings
WHEN ENFORCEMENT FAILS · REAL CONSEQUENCES

When Enforcement
Fails: Real Consequences

The enforcement gap is not abstract. When data definitions drift silently and no system halts the pipeline, the consequences are physical, financial, and regulatory.

SCENARIO 01 · AVIATION
Airport Gate Gridlock
SETUP AI optimises gate assignments based on Aircraft_Turnaround_Time. A data engineer silently excludes refuelling delays from the definition.
CONSEQUENCE AI double-books gates. Tarmac gridlock. Safety buffers violated. Dashboard shows green. ODGS: Hash mismatch → Hard Stop.
🚛
SCENARIO 02 · LOGISTICS
Hazardous Cargo Misroute
SETUP Routing agent diverts cargo by Hazard_Class_Index. Upstream ERP silently drops a chemical code from "Hazardous."
CONSEQUENCE Volatile chemicals routed through residential zone. EU transport laws violated. Compliance records no anomaly. ODGS: Missing code detected → Routing halted.
💶
SCENARIO 03 · FINANCIAL SERVICES
€50M Credit Over-Leverage
SETUP Algo trading evaluates risk via Net_Available_Liquidity. New API silently includes unvested stock options in the calculation.
CONSEQUENCE Institution over-leveraged by €50M on inflated liquidity. Risk dashboard reports normal. ODGS: Formula change blocked. DORA log generated.
THE PATTERN Policy existed. Dashboard was green. System chose silence over error.
EXECUTIVE SUMMARY

The Problem,
By the Numbers

38%
Avg. Maturity
0
Reached Level 5
23pts
Enforcement Gap
8
Pillars Scored
99
Organisations
6
EU Regulations
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
Policy Exists61%
Automated Enforcement38%
Cryptographic Proof0%
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.
EU DATA GOVERNANCE MATURITY BENCHMARK 2026

Get the Full
27-Page Report

All 8 sectors. Individual organisation scores. Six regulatory readiness matrices. The complete ODGS maturity framework. Free — no paywall.

  • 99 European organisations ranked by maturity score
  • The 23-point enforcement gap explained sector by sector
  • DORA, NIS2, EU AI Act, GDPR readiness matrices
  • 806-point framework cross-reference (DAMA, APQC, BIAN)
  • Apache-2.0 open source — reproducible methodology
METRIC PROVENANCE B.V. · THE HAGUE, NL · EU AI ACT ENFORCEMENT · CEN/CENELEC NEN 381525
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