FORMATION IA
D'Excel aux Feuilles Intelligentes : Modernisation des Données pour PME
Quittez le chaos des tableurs et construisez des flux de données structurés et automatisés sur lesquels toute votre équipe peut compter.
Ce qu'elle couvre
Cet atelier pratique guide les petites entreprises très dépendantes des tableurs pour migrer leurs classeurs Excel chaotiques vers des structures Google Sheets ou Airtable bien organisées. Les participants apprennent la conception de schémas assistée par IA, créent des automatisations de base et comprennent les signaux indiquant qu'il est temps de passer à une vraie base de données. Le format alterne courtes sessions conceptuelles et mise en pratique immédiate sur les données réelles des participants.
À l'issue, vous saurez
- Redesign a messy Excel workbook into a normalised multi-table structure in Google Sheets or Airtable
- Use an AI assistant to draft and validate a data schema for a specific business process
- Set up at least one end-to-end automation (e.g. form submission → record creation → notification) without writing code
- Identify the concrete thresholds — row counts, user count, query complexity — that signal a move to a real database is warranted
- Apply data validation and access controls so team members cannot accidentally corrupt shared data
Sujets abordés
- Diagnosing workbook chaos: signs your spreadsheet has outgrown itself
- Relational thinking: designing a clean schema without a DBA
- Google Sheets structured best practices: named ranges, data validation, and linked sheets
- Airtable fundamentals: tables, views, linked records, and rollups
- AI-assisted schema design using ChatGPT or Copilot to draft data models
- Basic automations: Zapier, Make, or native triggers in Sheets and Airtable
- When to graduate: signals that you need a real database or lightweight ERP
- Data hygiene and change management for small teams
Modalité
Typically delivered as a one or two-day in-person or remote workshop. Participants are asked to bring one real spreadsheet they use regularly; the afternoon sessions are structured as guided clinics where they rebuild it live. Materials include a schema design template, an automation recipe library, and a decision checklist for tool selection. Hands-on time accounts for roughly 65% of total duration. Remote delivery works well via shared Google Workspace or Airtable sandbox environments.
Ce qui fait que ça marche
- Starting the migration with one contained, high-pain process rather than attempting a full overhaul at once
- Assigning a single internal 'data owner' who maintains schema decisions after the workshop
- Agreeing on naming conventions and column types as a team before migrating any data
- Scheduling a 30-day review to catch workarounds that have crept back in
Erreurs fréquentes
- Recreating the same flat-file logic in the new tool instead of adopting a relational structure
- Automating broken processes — digitising chaos rather than redesigning the workflow first
- Choosing Airtable for everything without considering row limits and cost as data grows
- Skipping data validation rules, leaving the new setup as fragile as the old spreadsheet
Quand NE PAS suivre cette formation
A business that already has a developer on staff and more than 50,000 rows of operational data in spreadsheets — they need a database migration project, not this workshop.
Fournisseurs à considérer
Sources
Cette formation fait partie d'un catalogue Data & IA construit pour les leaders sérieux sur l'exécution. Lancez le diagnostic gratuit pour voir quelles formations sont prioritaires pour votre équipe.