Migrate your data, not your problems.
Every failed ERP implementation has one thing in common: they migrated 20 years of bad data into a new system and expected different results. We cleanse, validate, and migrate master data with gates at every stage — so your new ERP starts with data you can trust.
Dirty Data Kills New ERP Systems
- →Duplicate customer records, zombie SKUs, and orphaned BOMs migrated into the new ERP untouched
- →Item masters with inconsistent naming, missing attributes, and no ownership — data quality at 60–70%
- →Pricing data scattered across spreadsheets, the old ERP, and tribal knowledge that nobody documented
- →Migration done as a weekend cut-and-paste instead of a governed, validated multi-stage process
ERP Data Migration & Cleansing
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.
Master Data Cleansing
Deduplicate records, standardize naming conventions, fill attribute gaps, and resolve conflicts. Item masters, customer masters, and vendor masters cleaned to >95% accuracy before migration.
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.
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.
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.
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.
The Engagement Process
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.
Cleansing & Standardization
Execute cleansing rules — deduplication, standardization, enrichment, and conflict resolution — with business stakeholder sign-off on merge and purge decisions.
Mapping & Transformation
Build the mapping specifications and transformation scripts from source to target. Review with ERP configuration team to ensure alignment with module setup.
Trial Migrations & Validation
Run iterative trial migrations with detailed reconciliation reports. Fix issues, rerun, validate. Repeat until accuracy targets are met consistently.
Cutover Migration & Verification
Execute the final production migration with pre-validated scripts and post-migration verification. Reconcile every domain before signing off.
Frequently Asked Questions
Odoo ERP · Data Migration
Every engagement starts with an assessment.
We scope work after we understand your operation — not before. The Launchpad assessment maps where you are, quantifies what it's costing you, and sequences what to do first.
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