Duplicate records everywhere
The same customer appears three times. Products have been created twice. Every search returns too many results, and nobody knows which record is "the real one."
Odoo Database Cleanup
Duplicate contacts. Orphaned records. Data you can't trust. We fix it.
Your Odoo system is only as good as the data inside it. When that data is messy, everything downstream breaks. Reports lie. Users lose confidence.
Database cleanup is tedious, technical, and easy to keep postponing. That's exactly why we offer it as a service.
Signs your Odoo database needs attention
Data problems don't fix themselves.
Reports that don't add up
Sales totals don't match finance. Inventory counts are off. You've stopped trusting dashboards and started using spreadsheets "just to be sure."
Orphaned records
Journal entries referencing deleted partners. Stock moves linked to archived products. Historical data that exists but doesn't connect to anything meaningful.
Migration leftovers
Legacy data brought over with bad mapping. Legacy codes nobody recognises, categories that don't match, and history that's technically there but useless.
Integration pollution
Your Shopify or Amazon integration creates a new customer record for every order. What should be one customer is now seventeen.
Users who've given up
Your team has stopped updating records properly because "it doesn't matter anyway—the data's already a mess." Entropy wins.
Bad data has real costs
It's easy to dismiss data quality as a "nice to have."
But messy data creates tangible problems:
- Operational waste: Staff spend hours hunting for the "right" record or fixing mistakes.
- Decision risk: If you can't trust reports, you're deciding on gut feel.
- Integration fragility: Dirty data breaks automations instantly.
- Upgrade blockers: Odoo upgrades choke on inconsistent data structure.
- Customer experience: Sending a quote to the wrong "John Smith" is a reputation problem.
How we work
Fixed-scope, fixed-fee engagements.
You know exactly what you're getting and what it costs before we start.
Database Health Check
What It Is: A structured assessment to identify data quality issues, quantify their scope, and prioritise fixing.
Includes: Duplicate analysis, orphaned record ID, data integrity checks, and a prioritised roadmap.
Most clients start here.
Book a Health Check →
Standard Cleanup
What It Is: Targeted cleanup of specific, well-defined data issues.
Scope: Contact merging, product deduplication, orphan cleanup, category standardisation.
Process: Executed on staging first, then verified, then deployed.
Get a Cleanup Quote →
Deep Clean
What It Is: Comprehensive remediation for structural issues or complex legacy data.
Scenarios: Post-migration cleanup, merger/acquisition data integration, pre-upgrade prep.
Delivery: Custom scripts, staged rollout, full audit.
Discuss Your Situation →Process
How cleanup works
Assessment
We analyse your database to understand the scope. For Health Check clients, this is the full engagement.
Scoping & Quote
We define exactly what will be cleaned, how, and when. You get a fixed-fee quote.
Staging Cleanup
We execute all work on a copy of your database using staging servers—never directly on production first.
Verification & Deployment
Once verified, we apply changes to production during a scheduled maintenance window.
Safety First
Your data is safe with us
Staging first, always.
Every cleanup operation runs on a copy of your database before we touch production. You can review
results and verify nothing broke.
Reversibility where possible.
We design cleanup operations to be reversible. Merges preserve history. We don't do "oops" moments.
Documentation.
You get a clear record of what was modified. If questions come up six months later, there's an audit
trail.
Common Scenarios
What we clean
Scenario
E-commerce integration created 45,000 "customers" - actually 28,000 real people with duplicates.
Outcome
Built matching rules. Merged duplicates preserving history. Clean customer database restored.
Scenario
Legacy ERP migration brought 10 years of bad history. Phantom stock for non-existent products.
Outcome
Reconciled legacy codes. Archived obsolete products. Inventory numbers finally match reality.
Scenario
Upgrade to Odoo 17 failing due to inconsistent data relationships and orphaned records.
Outcome
Systematic cleanup of integrity issues. Migration completed successfully on next attempt.
FAQ
Common questions
How much does a Health Check cost?
Pricing depends on your database size and modules. We'll give you an exact quote after a 15-minute scoping call.
How long does cleanup take?
Health Checks: 3-5 days. Standard cleanups: 1-3 weeks. Deep cleans: scoped individually.
Will cleanup cause downtime?
Minimal to none. Work happens on staging. Deployment is scheduled for maintenance windows.
Can you clean up data while we're using the system?
Yes. Most cleanup operations don't require system downtime.
What if the data is too far gone?
Rarely the case. We've salvaged databases others had given up on. If it's truly not cost-effective, we'll tell you.
Start with a Health Check
Not sure how bad your data situation is? We'll assess your database, quantify the issues, and give you a prioritised roadmap.
Book Your Health Check
Fixed fee. No obligation. Just clarity.