Post-Migration Data Validation: The Forgotten Step

Everyone celebrates when the data loads into SAP. The migration’s done, right? The champagne corks pop, screenshots of green checks fly across project chats, and the project manager finally sleeps through the night.

Then someone in finance runs their first report and notices the numbers don’t match. That’s when the party ends.

Post-migration validation is the unsung hero of every successful SAP project. It’s the point where confidence in your data either solidifies or collapses. Too many teams assume that if the data loaded, it must be correct. But “loaded” and “validated” are two very different things.

True validation isn’t just checking that records exist in S/4HANA — it’s confirming that they reflect the right business reality. Are vendor balances accurate? Do open purchase orders align with legacy data? Do GL balances reconcile across systems? It’s about making sure the business can actually trust what it sees on day one.

Manual validation works when you have time, patience, and a small dataset. Most organizations have none of the above. Automated reconciliation tools like those built into Xadata compare pre-load and post-load data at scale, highlighting mismatches in minutes rather than weeks. That means you catch issues before they catch you.

Data validation may not get the spotlight, but it’s the foundation of user trust. When the CFO runs that first report and everything reconciles perfectly, that’s the quiet victory every project deserves.

See how Xadata automates validation and reconciliation across SAP migrations at www.xadata.io

#SAP #S4HANA #DataValidation #DataQuality #ERP #DigitalTransformation #Xadata