1. Domain Ownership Appointment

The single most impactful governance action you can take is to formally assign a Data Steward for every functional domain: Finance, Supply Chain, Maintenance, HR, and Quality. These individuals-not IT, not the Systems Integrator-must sign off on the accuracy and completeness of the data before it enters the production environment.

The rationale is straightforward: IT can validate that a file loaded successfully. Only the business can validate that the data is correct. When a Finance Controller confirms that the migrated trial balance reconciles to the penny against the legacy ERP, you have genuine assurance. When IT confirms “10,000 rows loaded with zero errors,” you have nothing-because those 10,000 rows might contain 3,000 duplicate Suppliers.

2. The “Zero Legacy” Filter

Every legacy system accumulates dead weight: inactive customers who haven’t ordered since 2018, closed Purchase Orders from a supplier who went bankrupt, maintenance work orders for equipment that was decommissioned years ago. Migrating this data into IFS Cloud is not just wasteful-it is actively destructive.

Implementing this rule typically reduces the migration data volume by 40–60%, which directly reduces transformation effort, testing cycles, and cutover risk. The objection “but we might need that data” is addressed by keeping the legacy system accessible in read-only mode. What you cannot do is allow dormant data to inflate your Cloud instance, degrade search performance, and confuse end-users who are trying to learn a new system.

3. Technical Validation vs. Business Reconciliation

This is the distinction that separates a controlled migration from a controlled catastrophe. You need two independent validation gates, and both must pass before the migration cycle is considered successful.

The Technical gate is necessary but not sufficient. A perfect load with zero API errors means nothing if 2,000 of your 10,000 customers were mapped to the wrong Customer Group, or if your opening balances are off by $150K because a currency conversion rule was applied incorrectly. Business Reconciliation is the only gate that confirms the migration succeeded.

4. Automated Quality Gatekeeping

Manual data review does not scale. When you are transforming 50,000 Inventory Parts, 12,000 Suppliers, and 200,000 historical transactions, you need automated quality gates that intercept “Dirty Data” during the transformation phase-before it ever reaches IFS Cloud.

Common quality gate checks include:

• Completeness - Are all mandatory fields populated? (Tax ID, Payment Terms, Default Site)
• Conformity - Does the UoM match the IFS Cloud UoM catalogue? Is the currency code ISO 4217 compliant?
• Consistency - Does every Part reference an existing Commodity Group? Does every PO line reference a valid Supplier?
• Uniqueness - Are there duplicate Supplier records with slightly different names (e.g., “ABC Corp” vs. “ABC Corporation Ltd”)?

5. “Clean Core” Enrichment

Here is the strategic insight that transforms migration from a cost centre into a value driver: migration is the only time in the life of your ERP where you can mass-correct your data architecture at scale. Once the system is live and users are transacting, structural corrections become exponentially more disruptive and expensive.

This enrichment work requires deep collaboration between the Data Stewards and the IFS Cloud solution architects. The output is not just “migrated data”-it is a redesigned data architecture that enables the new business processes you are implementing. Without this step, you are simply pouring old wine into a new bottle.