Manufacturing Services

Manufacturing · Legacy Modernization · Data Migration

Data Migration & Validation

Move manufacturing history without losing control of what the records mean. Customer, product, supplier, BOM, routing, inventory, quality, pricing, and transaction history require more than row counts. We cleanse, transform, reconcile, and validate the records against defined business rules and accountable owners.

Discuss the Business ObjectiveStart Your Transformation Roadmap

01

The Problem

Data can migrate successfully at a technical level and still fail the manufacturing operation.

Analytics problems begin when a dashboard is built before records, definitions, timing, lineage, and accountability have been reconciled across the operation.

01

What leaders see

Reports disagree about current conditions.

Teams debate demand, workload, capacity, inventory, service, delivery, and margin instead of acting on them.

02

What is actually happening

Measures inherit unresolved record conflicts.

Sources, identifiers, definitions, refresh timing, adjustments, and ownership differ across systems and teams.

03

What gets worse

Faster reporting accelerates the wrong answer.

More dashboards spread inconsistent measures and make exception ownership harder to establish.

02

What Changes

What Data Migration & Validation includes.

Customer, product, supplier, BOM, routing, inventory, quality, pricing, and transaction history require more than row counts. We cleanse, transform, reconcile, and validate the records against defined business rules and accountable owners.

01

Data Profiling

Profile the tables, fields, relationships, volumes, and formats in scope. Identify quality issues and transformation requirements before migration begins.

02

Mapping & Transformation

Define field-by-field mappings between legacy and target systems. Handle format conversions, code translations, concatenations, and business rule transformations.

03

Data Cleansing

Fix quality issues during migration -- standardize addresses, deduplicate customers, resolve orphaned records, and fill missing required fields with governed defaults.

04

Validation Framework

Use record counts, checksums, relationship tests, exception reports, and business-rule validation to reconcile source and destination before acceptance.

05

Incremental Migration

Migrate historical data in advance, then incrementally sync changes during the transition period. Minimize cutover window and reduce go-live risk.

06

Rollback Capability

Define fallback conditions and recovery procedures for each migration stage. When validation fails, stop progression, resolve the cause, and repeat the affected step from a controlled state.

03

How It Fits Manufacturing

How Data Migration & Validation fits the manufacturing operation.

Data & AnalyticsWhich decision the view supports, which records establish it, and how disagreement or missing data becomes visible.
Governance dependencyMeasures need defined ownership, timing, lineage, reconciliation, and access before dashboards can become a basis for operating decisions.
Operating records to reconcile
demand and orders
products, services, and inventory
work and capacity
quality and customer service
delivery and financial results

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.

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 ObjectiveStart 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.

04

Delivery sequence

How Metrotechs delivers Data Migration & Validation.

Customer, product, supplier, BOM, routing, inventory, quality, pricing, and transaction history require more than row counts. We cleanse, transform, reconcile, and validate the.

01

Data Profiling

Analyze source data volumes, quality, formats, and relationships. Produce a data quality report with issues ranked by severity and migration impact.

02

Mapping Design

Design field-by-field mappings with transformation rules. Review with business stakeholders to validate that mappings preserve business meaning.

03

ETL Development

Build extraction, transformation, and loading pipelines. Automated, repeatable, and version-controlled -- not manual copy-paste.

04

Test Migration

Run full-volume test migrations against a non-production target. Validate record counts, data accuracy, and business rule compliance.

05

Production Migration

Execute the production migration with active monitoring, validation checkpoints, and rollback readiness. Verify the agreed records and business scenarios before declaring success.

05

FAQ

Questions that usually decide the scope.

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

We categorize issues by severity: critical (blocks migration), major (requires business decision), and minor (automated fix). Critical and major issues are resolved before migration. Minor issues are fixed in-flight with documented rules.