Audit, build, stabilize, validate and go to production. A chain designed as an execution system, not as a sequence of steps to tick off.
Face the reality of the data
The audit phase aims to understand the data as it actually exists in the source systems.
It relies on extracting and analyzing the real data, measuring the effective volumes, identifying inconsistencies, duplicates and edge cases, and understanding the functional dependencies.
The goal is to get a clear picture of what is genuinely migratable and the associated risks.
Build the migration system
Migration is not treated as a set of one-off scripts, but as an industrial system.
This phase consists of building a configurable, traceable and repeatable migration chain, able to evolve run after run.
The system is designed to support iterations, corrections and scaling up, while keeping full visibility over the processing performed.
Stabilize through execution
The system is run on real functional scopes (parts, assemblies, structures, etc.).
Each run brings discrepancies or anomalies to light, which are then analyzed and corrected.
These Run / Fix loops chain together gradually, scope after scope, until business rules, data and processing are stabilized. Each iteration strengthens the overall reliability of the migration.
Validate the whole chain
Once the scopes are stabilized, a dry run is carried out across the entire chain.
It is a complete execution, at real volume, covering all the data and processing.
This is not a demonstration, but a dress rehearsal meant to confirm that the system holds up at real scale.
Go to production without surprises
Going to production happens once the migration is already under control.
The data, the business rules and the processing have been proven through repeated execution.
Going live becomes a controlled step, with no late discoveries and no surprise effect.
ERP or PLM, legacy with a long history, large volumes: let's talk about the real constraints of your migration.
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