What leaders see
The project looks like a software or configuration issue.
Vendors, modules, timelines, and budgets dominate the conversation while the business outcome, AI fit, and operating record remain unresolved.
Services
ERP Data Migration
Give the new ERP records the business can trust from day one.
Customers, products, vendors, pricing, inventory, open transactions, and financial history carry the operation forward. We help the business decide what is authoritative, repair what is not, and move each record through governed validation before cutover.
01
The Business Problem
A new ERP cannot fix records the business does not trust.
ERP-connected data problems usually begin before AI or workflow delivery. The organization chooses software or modules before it has settled workflow fit, data ownership, integration boundaries, and launch decision rights.
What is actually happening
The operating record is not agreed on.
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
Workarounds become permanent architecture.
Customizations pile up, launch risk rises, reporting trust drops, and the ERP becomes harder to connect to AI after launch.
02
What Changes
What this work should improve.
Customers, products, vendors, pricing, inventory, open transactions, and financial history carry the operation forward. We help the business decide what is authoritative, repair what is not, and move each record through governed validation before cutover.
01
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.
02
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.
03
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.
04
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.
05
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.
06
Data Governance Framework
Establish ownership, update procedures, and quality monitoring for each data domain. Without governance, data quality degrades to pre-migration levels within 90 days of go-live.
03
How It Fits Your Operations
Where this work touches your business.
ERP-connected operating recordWhich records AI can trust, which workflows should change, and which ERP connections truly need custom work.
Governance dependencyThe operating record has to fit the real workflow before integrations, reports, workflow automation, or AI get built on top.
Records that must line up
customers
products
BOMs
inventory
vendors and financial records
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.
Customers, products, vendors, pricing, inventory, open transactions, and financial history carry the operation forward. We help the business decide what is authoritative, repair.
01
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.
02
Cleansing & Standardization
Execute cleansing rules — deduplication, standardization, enrichment, and conflict resolution — with business stakeholder sign-off on merge and purge decisions.
03
Mapping & Transformation
Build the mapping specifications and transformation scripts from source to target. Review with ERP configuration team to ensure alignment with module setup.
04
Trial Migrations & Validation
Run iterative trial migrations with detailed reconciliation reports. Fix issues, rerun, validate. Repeat until accuracy targets are met consistently.
05
Cutover Migration & Verification
Execute the final production migration with pre-validated scripts and post-migration verification. Reconcile every domain before signing off.
05
FAQ
Questions that usually decide the scope.
Straight answers to what operators ask before committing budget to this work.
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.