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Turn data into an advantage.
Data is only worth the decisions it enables. The real challenge isn't technical: it's governance, trust and scaling.
This domain covers architecture, analytics, governance and AI strategy — from pipeline plumbing to the trade-offs you present to the board.
Analyst, data engineer, analytics lead or future CDO: you'll build a vision that connects the technical and the business.
The learning path
CDO Track
Progressive modules, each closed by a checkpoint. Your progress is saved.
Data strategy & the CDO role
The foundation every CDO needs: your mandate, your org chart, your 100-day plan, your data vision, how to make the business case, and how the CDO role differs across industries.
BLOCK 02Data governance & compliance
The non-negotiable foundation of every CDO's agenda: governance frameworks, data quality, Master Data Management, lineage, GDPR and global privacy regulation, data contracts, and data risk management.
BLOCK 03Bloc 3 : architecture data moderne
Data warehouses, lakes, lakehouses, data mesh, pipelines et stack data moderne.
BLOCK 04Bloc 4 : analytics, BI & decision intelligence
Business Intelligence, dashboards, self-serve analytics, analytics avancée et culture data-driven.
BLOCK 05Bloc 5 : IA & machine learning strategy
Stratégie IA, GenAI, NLP, systèmes de recommandation et IA responsable.
BLOCK 06Bloc 6 : data products & monétisation
Monétisation des données, productisation, partenariats data et infonomics.
BLOCK 07Bloc 7 : culture data & organisation
Data literacy, organisation de la fonction data, embedded analytics et data maturity.
BLOCK 08Bloc 8 : CDO leadership & executive presence
Le rôle du CDO, stratégie et communication exécutive, gestion de crise et vision du futur.
The feed
What's moving, right now.
Privacy debt: the hidden liability CDOs can no longer defer
Most organizations have spent years accumulating privacy debt, patching compliance gaps rather than building coherent data governance. For CDOs, 2026 is the year that debt comes due, and the bill looks different than many expected.
DataFrom data asset to data product: what CDOs get wrong about monetization
Most organizations sit on valuable data but struggle to convert it into revenue or measurable business value. The gap between "we have data" and "we sell data products" is strategic, not technical, and closing it requires a fundamentally different operating model.
DataData governance in 2026: why compliance alone is no longer enough
Regulatory pressure on data has never been higher, but CDOs who treat governance purely as a compliance function are already falling behind. The organizations pulling ahead are the ones treating governance as a business capability with measurable commercial value.
The tools
From theory to a real decision.
The daily podcast
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