Turn data and AI challenges into clear, actionable decisions.
Free assessments, practical tools and hands-on labs for data professionals who want to improve data maturity, AI readiness and governance.
Know where you stand before you decide what to fix.
Four self-service tools, each scored against a structured framework. Fill one in for yourself; it changes more minds than a deck someone presents to you.
Data Maturity Assessment
Understand where your organisation stands and identify your next priorities.
Take the assessment AssessmentAI Readiness Assessment
Discover whether your organisation is ready to adopt AI responsibly and effectively.
Check your readiness AnalyzerAI Governance Gap Analyzer
Identify the policies, processes and capabilities your AI governance model is missing.
Run the analyzer ScorecardCDO Strategic Positioning Scorecard
See how the data leadership role is positioned in your organisation, and what that implies.
Open the scorecardWhat every tool gives you A defensible starting point, not a generic checklist.
Where you stand today
Scored against a structured framework rather than opinion or gut feel.
Your weakest areas first
Ranked, so you address what matters most instead of fixing everything at once.
A recommendation per gap
Specific enough to act on without a consulting engagement.
A summary for the room
Ready for a conversation with your team, your peers or your leadership.
Learn by doing, with the tools you would actually use.
Assessments tell you where you stand. Labs let you practise the work itself, one technology per lab.
Hands-On Data Governance with OpenMetadata
Deploy your first data catalog from scratch and lay the foundations of governance.
Start the labEnforce the Promise: dbt, OpenMetadata and ODCS
Write a real ODCS 3.1 data contract and build the layers that enforce it, before merge and in the catalog.
Start the labAnalysis for the people who make the decisions.
Governance, data quality, AI and regulation, written as executive briefings with Swiss context.
The Data Owner Who Isn't
Most data owners are a name in a register. Why the role stays empty, what FINMA Circular 2023/1 actually asks for, and how a CDO can make ownership real.
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What the System Knows
AI tools like REA can now read what our systems really do. Only people can decide what the business meant.
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Data Access for AI Agents
An instruction is not a control. Why agentic AI fails on access, not on models, and how to govern an agent like a new hire.
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Choosing a Data Catalog
A vendor-neutral guide for CDOs: what to settle first, what to ask, how to test, and the 2026 market at a glance
Read →Governance fails when it stays on a slide. A scorecard someone fills in for themselves changes more minds than a deck someone presents to them.
I am Bernard Millet, independent data governance advisor. Twenty years inside the data functions of large regulated organisations: UBS, Société Générale, AxiomSL, Allianz, Roche. Head of data management, data protection officer, data architect, consultant. I built DataEdgePro, its tools and its labs myself.