Industrial ERP / PLM migration

Secure your ERP and PLM data migrations.

Source audits, repeatable loads and reconciliation: MigQuest supports your teams from the first data extraction to production cutover.

Start with an audit→ See the methodology
Who runs it

A dedicated contact for your data migration.

Steven Robillart, founder of MigQuest, works alongside your business teams and your integrator, from audit to reconciliation.

Steven Robillart FOUNDER OF MIGQUEST LinkedIn profile
Anonymised ERP case

Four sites, a migration prepared on real data.

The audit found 412,000 parts, including 61,000 duplicates across sites. Business arbitration reduced the scope to 351,000 parts and moved cutover by one quarter.

After 28 full passes, 351,000 parts were loaded. All 240 rejects were qualified and replayed within the cutover window, with no production stoppage.

Read the case and its lessons
Where to start

Start by measuring the risk.

A standalone engagement to measure volumes, identify anomalies and scope business decisions before pricing the full migration.

See what the audit covers→
  • Risk map
  • Measured quality and volumes
  • Dependencies identified
  • Pilot plan
The real problem

Make the risks visible before cutover.

ERR_01

Volumes, duplicates and dependencies that the documentation does not reveal.

ERR_02

Conflicting business rules that require decisions from the teams involved.

ERR_03

Tests that start too late or cover too little to validate the full migration.

The methodology

Five phases to prepare for production.

01

Audit

Extract the sources, measure volumes and identify business decisions.

Measure
02

Build

Prepare mappings and a traceable, repeatable migration chain.

Build
03

Run / Fix

Run on real data, qualify discrepancies and replay corrections.

Correct
04

Dry Run

Rehearse the complete cutover at real volume, within the planned window.

Rehearse
05

Go-Live

Execute cutover, reconcile the data and monitor remaining discrepancies.

Control
The 5 phases in detail→
Traceability demonstration

From each object’s status to correcting rejects.

A. Demonstration data: status, type and duration, object by object.

// MIGRATION_MONITOR DEMO RUN
sample data · last 9 · 26 450 processed
ID TYPE STATUS TIME
PART-001 PART REJECTED ·
BOM-044 BOM REJECTED ·
DOC-017 DOCUMENT OK 8ms
CO-089 CO REJECTED ·
MAT-007 MATERIAL RUNNING ·
PART-052 PART OK 11ms
BOM-051 BOM OK 29ms
CO-091 CO QUEUED ·
RTG-003 ROUTING OK 16ms
✓ 26 167 migrated ↻ 14 running ✕ 283 rejected Run/Fix · ERP + PLM

B. Demonstration data: rejects qualified by cause, with replay.

Ecosystems we work in

Source and target systems.

Source or destination, the method is system-agnostic. Exact coverage of your estate is confirmed during the audit.

ERP
SAP ECCSAP S/4HANAIFS CloudDynamics 365Oracle ERPInfor M3
PLM
Windchill3DEXPERIENCETeamcenterENOVIAAras InnovatorArena PLM
Who it's for

Built for critical migrations.

For industrial teams and integrators working with long histories, business dependencies and critical data.

Industrial ERP & PLMLegacy with long historyLarge volumesInterdependent domainsBusiness-critical data
Our principles

What guides every project.

  • 01Measure real data and make business decisions explicit.
  • 02Trace processing and make rejects correctable.
  • 03Rehearse the complete chain before production cutover.
Let's talk

Every migration context is unique.

A single conversation is often enough to clarify the stakes, the constraints and the real risks of your project.

Contact us→