What leaders see
People reconcile the same records repeatedly.
Orders, inventory, production, quality, and shipment status move through exports, re-entry, calls, and side files.
ERP Data Migration
Give the new ERP records the business can trust from day one. Product, customer, supplier, BOM, routing, inventory, open-order, quality, and financial records carry a manufacturing operation into its new ERP. We establish ownership, repair unreliable data, and validate each migration stage before cutover.
01
The Business Problem
Integration problems begin when systems exchange fields without agreement about the operating record, timing, ownership, validation, recovery, and exception response.
What leaders see
Orders, inventory, production, quality, and shipment status move through exports, re-entry, calls, and side files.
What is actually happening
Identifiers, source ownership, timing, validation, monitoring, and recovery differ across systems and organizations.
What gets worse
Point-to-point fixes multiply while failures become harder to detect, explain, assign, and recover.
02
What Changes
Product, customer, supplier, BOM, routing, inventory, open-order, quality, and financial records carry a manufacturing operation into its new ERP. We establish ownership, repair unreliable data, and validate each migration stage before cutover.
Inventory every data domain — items, BOMs, customers, vendors, pricing, inventory, open orders — and profile quality: completeness, consistency, duplicates, and accuracy rates. You know exactly what you're working with before migration starts.
Deduplicate records, standardize definitions, fill critical attribute gaps, and resolve conflicts. Each domain advances only after business owners accept the agreed quality and reconciliation evidence.
Map source fields to target ERP fields with transformation rules for format changes, unit conversions, code translations, and hierarchical restructuring. Every mapping is documented and reversible.
Staged migration with validation checkpoints — record counts, field-level accuracy checks, referential integrity, and business rule validation. Data does not advance to the next stage until it passes.
Multiple trial migrations into the target ERP with comparison reports against source data. Each trial identifies issues that are fixed before the final cutover migration.
Establish ownership, update procedures, and quality monitoring for each data domain. Without governance, data quality degrades to pre-migration levels within 90 days of go-live.
03
How It Fits Your Operations
Related Services and Planning
Follow the dependencies behind this service instead of treating it as an isolated project.
Expose approved records and transactions through permissioned customer, supplier, and partner experiences.
Explore next stepReconcile connected records into dependable operating measures, status, and decisions.
Explore next stepRoute the actions and exceptions that connected systems reveal.
Explore next stepUse Launchpad when the operating problem needs a structured assessment, readiness evidence, architecture, and implementation Roadmap.
Explore next stepStart With the Operating Problem
Metrotechs determines what the operation actually requires before selecting technology. When a structured assessment is warranted, Launchpad turns evidence into priorities, risks, architecture, and an implementation Roadmap.
04
Delivery sequence
Product, customer, supplier, BOM, routing, inventory, open-order, quality, and financial records carry a manufacturing operation into its new ERP. We establish ownership, repair.
Extract data from all source systems and profile every domain for quality, volume, and complexity. Deliver a data readiness report with specific remediation tasks.
Execute cleansing rules — deduplication, standardization, enrichment, and conflict resolution — with business stakeholder sign-off on merge and purge decisions.
Build the mapping specifications and transformation scripts from source to target. Review with ERP configuration team to ensure alignment with module setup.
Run iterative trial migrations with detailed reconciliation reports. Fix issues, rerun, validate. Repeat until accuracy targets are met consistently.
Execute the final production migration with pre-validated scripts and post-migration verification. Reconcile every domain before signing off.
05
FAQ
Straight answers to what operators ask before committing budget to this work.
The schedule depends on source count, data condition, ownership availability, transformation rules, trial results, and reconciliation requirements. Begin early enough for business owners to resolve ambiguity and for the team to repeat the migration until the evidence supports cutover.