FORMATION IA
De zéro à piloté par la donnée en 90 jours
Construisez un entrepôt de données, des tableaux de bord opérationnels et un premier pilote IA en 90 jours.
Ce qu'elle couvre
Un programme structuré en 90 jours qui accompagne les dirigeants opérationnels depuis des tableurs épars jusqu'à une infrastructure de données fonctionnelle. Les participants mettent en place un entrepôt de données cloud, connectent leurs sources métier essentielles, créent des tableaux de bord décisionnels et lancent un pilote IA cadré — sans avoir besoin d'une équipe data dédiée. Organisé en trois sprints mensuels combinant sessions de coaching en direct, travaux pratiques et modules en autonomie. À l'issue du programme, les équipes maîtrisent leur stack et sont autonomes pour le faire évoluer.
À l'issue, vous saurez
- Deploy and configure a cloud data warehouse connected to at least two live business data sources
- Build and publish a dashboard tracking 5+ operational KPIs that non-technical stakeholders use weekly
- Design and document a basic data model that reflects your company's core business entities
- Define, scope, and launch a measurable AI pilot on one repetitive business process
- Establish a lightweight data governance routine — ownership, quality checks, and a change process
Sujets abordés
- Cloud data warehouse selection and setup (e.g. BigQuery, Snowflake, DuckDB)
- Data source connection and basic ETL/ELT pipelines
- Data modelling fundamentals for business users
- Dashboard design and KPI definition in BI tools (Metabase, Looker, Power BI)
- Data quality, governance basics, and documentation
- Identifying and scoping an AI pilot use case
- Prompt engineering and LLM integration for a business process
- Sustaining data culture: ownership, routines, and iteration
Modalité
Delivered remotely or hybrid over 12 weeks across three monthly sprints. Each sprint includes two 2-hour live group coaching sessions, one individual or team lab session, and async video modules (~3-5 hours). Participants work on their own real company data throughout, with anonymisation support if needed. A shared Slack or Teams channel provides ongoing peer and coach support between sessions. Materials include setup guides, SQL starter kits, dashboard templates, and an AI pilot canvas.
Ce qui fait que ça marche
- Executive sponsor who commits to acting on at least one dashboard insight during the programme
- Working with real company data from week one rather than toy datasets
- Dedicating a weekly 30-minute team data review ritual early so the habit forms before the programme ends
- Choosing a narrow, high-frequency AI pilot use case (e.g. invoice categorisation, support triage) with clear success metrics
Erreurs fréquentes
- Buying expensive BI tooling before cleaning or centralising source data, leading to dashboards no one trusts
- Scoping the AI pilot too broadly — teams try to automate a complex process before data basics are in place
- Assigning the programme to a single 'data champion' without buy-in from the ops or finance lead who owns the decisions
- Treating the 90 days as a project with an end date rather than the start of an ongoing data practice
Quand NE PAS suivre cette formation
A company that already has a functioning data warehouse, a BI team, and established reporting pipelines — they need practitioner-level upskilling or an advanced AI engineering track, not foundational infrastructure work.
Fournisseurs à considérer
Sources
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