Manufacturing · ERP Data Migration

ERP Data Migration & Cleansing

Q: Can you migrate from our legacy AS/400 system?

Yes. We extract from AS/400, DB2, flat files, Access databases, Excel workbooks, and any system that can export data. Legacy systems often have the most data quality issues, which is why cleansing is critical.

Q: What data quality level should we target?

Targets should be defined by business risk and data domain rather than one universal percentage. Critical records must meet agreed completeness, validity, uniqueness, relationship, and reconciliation criteria before the business accepts them.

Q: Who owns data cleansing decisions?

Your business stakeholders make merge, purge, and standardization decisions — not the IT team and not us. We facilitate the process, provide recommendations, and execute the approved changes. Business ownership is non-negotiable.

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.

Discuss the Business Objective Start Your Transformation Roadmap

The Business Problem

A new ERP cannot fix records the business does not trust.

ERP problems begin when software selection, process decisions, master data, integrations, adoption, and cutover are treated as separate projects instead of one operating change.

What leaders see

Teams keep working around the core system.

Spreadsheets, re-entry, side databases, and manual approvals remain necessary to complete ordinary work.

What is actually happening

The operating model and system design disagree.

Records, workflows, controls, ownership, and integrations do not support the way the business has agreed to operate.

What gets worse

Every workaround makes the next change harder.

Customizations and local processes accumulate while upgrades, reporting, support, and adoption become more difficult to govern.

What Changes

What ERP Data Migration & Cleansing includes.

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.

Data Audit & Profiling

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.

Master Data Cleansing

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.

Data Mapping & Transformation

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.

Validation Gates

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.

Trial Migrations

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.

Data Governance Framework

Establish ownership, update procedures, and quality monitoring for each data domain. Without ongoing governance, data quality can return to pre-migration patterns after go-live.

How It Fits Manufacturing

How ERP Data Migration & Cleansing fits the manufacturing operation.

ERP & Core SystemsWhich operating records and workflows belong in ERP, what must remain connected, and how the change will improve control without disrupting customer commitments.

Governance dependencyERP work needs an agreed operating model, accountable master data, defined integrations, controlled change, adoption ownership, and a cutover path the business can support.

Operating records and controls involved

customers and products

orders and pricing

inventory and purchasing

operations and fulfillment

finance and reporting

What must be defined before engineering begins

What the manufacturing business needs to change and why.
Which systems, records, risks, and readiness gaps shape the work.
What should be built, how it fits the architecture, and in what order.

Related Services and Planning

What to evaluate next.

Follow the dependencies behind this service instead of treating it as an isolated project.

ERP Services

Place this decision inside the wider ERP implementation, integration, migration, and operating path.

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Integration Engineering

Connect ERP records to the systems, partners, and workflows that depend on them.

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Data Services

Prepare governed records, reporting, and analytics around the ERP operating model.

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Start Your Transformation Roadmap

New material work begins in Launchpad so Metrotechs can validate the operating need, evidence, feasibility, architecture direction, and sequence before engineering begins.

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Start With the Manufacturing Objective

Define the smallest sound response and delivery sequence.

Metrotechs determines what the operation actually requires before selecting technology. New material work begins in Launchpad so the evidence, feasibility, architecture direction, priorities, and sequence can be validated before engineering begins.

Discuss the Business Objective Start Your Transformation Roadmap

Metrotechs designs, builds, integrates, and supports the approved solution for the manufacturing operation.

A technical-service request does not bypass discovery. The proposed solution remains a working hypothesis until Metrotechs validates it in Launchpad.

Delivery sequence

How Metrotechs delivers ERP Data Migration & Cleansing.

Product, customer, supplier, BOM, routing, inventory, open-order, quality, and financial records carry a manufacturing operation into its new ERP. We establish ownership, repair.

Data Discovery & Profiling

Extract data from all source systems and profile every domain for quality, volume, and complexity. Deliver a data readiness report with specific remediation tasks.

Cleansing & Standardization

Execute cleansing rules — deduplication, standardization, enrichment, and conflict resolution — with business stakeholder sign-off on merge and purge decisions.

Mapping & Transformation

Build the mapping specifications and transformation scripts from source to target. Review with ERP configuration team to ensure alignment with module setup.

Trial Migrations & Validation

Run iterative trial migrations with detailed reconciliation reports. Fix issues, rerun, validate. Repeat until accuracy targets are met consistently.

Cutover Migration & Verification

Execute the final production migration with pre-validated scripts and post-migration verification. Reconcile every domain before signing off.

FAQ

Questions that usually decide the scope.

Straight answers to what manufacturing leaders ask before committing budget to this work.

How long does data migration take?

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.

Can you migrate from our legacy AS/400 system?

What data quality level should we target?

Who owns data cleansing decisions?