Services

Legacy Modernization · Data Migration

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.

01

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.

02

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.

03

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 this work should improve.

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

Where this work touches your business.

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 captures before Metrotechs scopes delivery

  • Which system owns the record of truth.
  • Where manual work or reconciliation enters the workflow.
  • Which integrations, rules, or data cleanup have to come first.

Bring the problem into Launchpad

Build the Roadmap before you build the solution.

Launchpad documents what is wrong, captures what your team knows, and connects this service to the business outcome it needs to improve.

Built around the people, processes, records, and decisions that make the business work.
Measured by what becomes easier, clearer, safer, or more reliable after launch.

04

Delivery sequence

How the work moves from problem to measurable change.

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.