What leaders see
The project looks like a software or configuration issue.
Vendors, modules, timelines, and budgets dominate the conversation while the operating model remains unresolved.
Legacy Modernization · Data Migration
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
ERP problems usually begin before implementation. The organization chooses software before it has settled workflow fit, data ownership, integration boundaries, and go-live decision rights.
What leaders see
Vendors, modules, timelines, and budgets dominate the conversation while the operating model remains 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, go-live risk rises, reporting trust drops, and the ERP becomes harder to improve after launch.
02
Scope
The work is organized as modules because implementation scope should be visible before the build starts.
Analyze every table, field, and relationship in your legacy data. Identify quality issues, data volumes, format inconsistencies, and transformation requirements before migration begins.
Define field-by-field mappings between legacy and target systems. Handle format conversions, code translations, concatenations, and business rule transformations.
Fix quality issues during migration -- standardize addresses, deduplicate customers, resolve orphaned records, and fill missing required fields with governed defaults.
Automated record counts, checksum validation, and business rule verification. Every record is accounted for -- nothing lost, nothing corrupted.
Migrate historical data in advance, then incrementally sync changes during the transition period. Minimize cutover window and reduce go-live risk.
Full rollback capability at every stage. If validation fails, revert and fix without impacting the legacy system or losing data.
03
Architecture
Next step
Metrotechs maps the record, traces the workflow, identifies the leakage, and turns the scope into a practical plan for ERP, cloud, data, automation, and AI.
04
Delivery sequence
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,.
Analyze source data volumes, quality, formats, and relationships. Produce a data quality report with issues ranked by severity and migration impact.
Design field-by-field mappings with transformation rules. Review with business stakeholders to validate that mappings preserve business meaning.
Build extraction, transformation, and loading pipelines. Automated, repeatable, and version-controlled -- not manual copy-paste.
Run full-volume test migrations against a non-production target. Validate record counts, data accuracy, and business rule compliance.
Execute the production migration with real-time monitoring, validation checkpoints, and rollback readiness. Verify before declaring success.
05
FAQ
These answers help separate a real implementation plan from a generic technology discussion.
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.