What leaders see
Work keeps moving, but only because people fill the gaps.
Teams rely on manual checks, side files, rekeying, status meetings, and individual knowledge to keep the process alive.
Services
Legacy Modernization · Data Migration
Data Migration & Validation
Move decades of data without losing a single record. Your legacy system holds 10, 20, even 30 years of data -- customer records, order history, pricing tables, inventory transactions. We migrate all of it with format conversion, cleansing, deduplication, and validation. Every record accounted for.
01
The Problem
Data Migration Is Where Modernizations Silently Fail
The problem is not one broken tool. It is an operating gap between who owns the work, which record can be trusted, and how exceptions move through the business.
What is actually happening
The workflow has no clean source of truth.
Records, rules, approvals, and handoffs are split across systems, so each step introduces delay or reconciliation.
What gets worse
Automation amplifies the weak spots.
The faster the business moves, the more bad data, exception work, and decision ambiguity compound across the operation.
02
What Changes
What Data Migration & Validation includes.
Your legacy system holds 10, 20, even 30 years of data -- customer records, order history, pricing tables, inventory transactions. We migrate all of it with format conversion, cleansing, deduplication, and validation. Every record accounted for.
01
Data Profiling
Analyze every table, field, and relationship in your legacy data. Identify quality issues, data volumes, format inconsistencies, 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
Automated record counts, checksum validation, and business rule verification. Every record is accounted for -- nothing lost, nothing corrupted.
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
Full rollback capability at every stage. If validation fails, revert and fix without impacting the legacy system or losing data.
03
How It Fits Your Operations
How Data Migration & Validation fits your operation.
Operations layerWhich manual workflow is costing the most time, rework, or decision delay.
Governance dependencyThe workflow needs clear ownership, trusted data, and exception rules before automation is worth building.
Operating data involved
orders
approvals
documents
exceptions
reporting handoffs
What Launchpad defines before engineering begins
- What the 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 Foundations
What to evaluate next.
Follow the dependencies behind this service instead of treating it as an isolated project.
01
Data analytics and business intelligence
Connect governed data to the operational measures and decisions leaders need to trust.
Explore next step02
API and integration engineering
Move approved records between ERP, cloud applications, portals, reporting, automation, and AI.
Explore next step03
AI automation and agents
Apply AI after the data foundation, permissions, workflow, and review boundaries are ready.
Explore next step04
Launchpad readiness and Roadmap
Assess readiness, dependencies, risk, architecture, and implementation order before engineering begins.
Explore next stepLaunchpad Before Engineering
Decide what to build and in what order.
Launchpad assesses the business and turns discovery into priorities, risks, readiness, architecture, and an implementation Roadmap. Metrotechs then engineers and supports the approved solution.
Metrotechs designs, builds, integrates, and supports the approved solution.
Launchpad keeps priorities, risks, owners, decisions, and delivery governance connected.
04
Delivery sequence
How Metrotechs delivers Data Migration & Validation.
Your legacy system holds 10, 20, even 30 years of data -- customer records, order history, pricing tables, inventory transactions. We migrate all of it with format conversion,.
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 real-time monitoring, validation checkpoints, and rollback readiness. Verify before declaring success.
05
FAQ
Questions that usually decide the scope.
Straight answers to what operators 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.