What leaders see
The project looks like a software or configuration issue.
Vendors, modules, timelines, and budgets dominate the conversation while the business outcome, AI fit, and operating record remain unresolved.
ERP Data Migration
Give the new ERP records the business can trust from day one. Customers, products, vendors, pricing, inventory, open transactions, and financial history carry the operation forward. We help the business decide what is authoritative, repair what is not, and move each record through governed validation before cutover.
01
The Business Problem
ERP-connected data problems usually begin before AI or workflow delivery. The organization chooses software or modules before it has settled workflow fit, data ownership, integration boundaries, and launch decision rights.
What leaders see
Vendors, modules, timelines, and budgets dominate the conversation while the business outcome, AI fit, and operating record remain unresolved.
What is actually happening
Processes, master data, exceptions, reports, and handoffs do not yet agree on what the ERP must own and what it should not.
What gets worse
Customizations pile up, launch risk rises, reporting trust drops, and the ERP becomes harder to connect to AI after launch.
02
What Changes
Customers, products, vendors, pricing, inventory, open transactions, and financial history carry the operation forward. We help the business decide what is authoritative, repair what is not, and move each record through governed validation 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 Foundations
Follow the dependencies behind this service instead of treating it as an isolated project.
Connect ERP records and workflows to the applications, portals, reporting, and automation that depend on them.
Explore next stepPlan hosting, continuity, security, recovery, and operating ownership around the ERP workload.
Explore next stepTurn ERP and adjacent system records into governed reporting, integration, and AI-ready data.
Explore next stepAssess readiness, dependencies, risk, architecture, and implementation order before engineering begins.
Explore next stepLaunchpad Before Engineering
Launchpad assesses the business and turns discovery into priorities, risks, readiness, architecture, and an implementation Roadmap. Metrotechs then engineers and supports the approved solution.
04
Delivery sequence
Customers, products, vendors, pricing, inventory, open transactions, and financial history carry the operation forward. We help the business decide what is authoritative, 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.