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Données de base : pourquoi vos nomenclatures font dérailler les projets

Une liste de contrôle avant toute reprise de données.
September 30, 2026 by
Données de base : pourquoi vos nomenclatures font dérailler les projets
OdooBot

The symptom

An absurd requirements calculation, an impossible cost price or negative stock rarely comes from the software: it almost always reveals incomplete or contradictory master data.

Diagram — From data checks to the dry-run migration.
  • Check

    • Units, types, procurement
    • Duplicates
  • Fix

    • Business teams
    • One owner per family
  • Dry-run migration

    • Reconciliation report
    • Gaps resolved

The checklist

  • Each item has a unit of measure, a type and a procurement method.
  • Each active bill of materials has quantities consistent with the unit.
  • Routings have work centers and realistic times.
  • Suppliers have dated lead times and prices.
  • No duplicate items or suppliers.

Who fixes it

The provider tools the checks; business teams fix the data. One owner per data family validates before each dry-run migration.

Limits

Technically valid data can still be wrong: only a test on a real flow shows that a bill of materials matches what the shop floor does.

See the project method

Fabrication à l’affaire : suivre la marge avant la livraison
Relier commande, ordres, achats et temps à une même affaire.