Why SAP ECC → Business Central Migrations Die on Data

Mainstream support for SAP ECC is ending — and the real risk isn’t the system. It’s the data.

At ERP reDefined 2026, held at the Nobu Warsaw hotel and organised by IT.integro, we spoke about a problem that keeps everyone still running SAP ECC up at night: how to move safely to Microsoft Dynamics 365 Business Central. With mainstream support for ECC winding down, the question is no longer whether to migrate, but when and how.

Our message was simple and — judging by the reaction in the room — uncomfortably true: an ERP migration doesn’t die on the systems. It dies on the data.

The hard part isn’t creating the mappings — it’s discovering the mistakes too late

In most migration projects, a spreadsheet becomes the single source of truth for field mappings. But a spreadsheet was never built for that job: no validation, no dependency checks, no visibility into hidden issues. Hundreds of ECC → BC mappings are created by hand, and the mistakes stay invisible until migration testing begins.

And look at who is in the room. A traditional data-mapping workshop pulls three groups together at once:

Aligning all of them — meeting after meeting, row after row in a shared spreadsheet — ties up a lot of people for a long time. And because the spreadsheet has no safeguards, the misunderstandings between these groups quietly turn into mapping errors that no one catches until testing — when fixing them costs far more than getting it right would have at the start.

An error made today surfaces two weeks later, inside the migration window, when there’s no time left and the business team is working under cutover pressure. By then every fix costs days, not minutes.

Every step is a gate that filters out errors

Instead of treating migration as one big transfer at the end of the project, we run it as a sequence of gates — and at each one we filter out a different class of error before anything reaches the target system.

Each gate filters out a class of error before it reaches the next stage — so problems are caught at the source, not inside the cutover window.

Getting the mapping right at the very start — with fewer people tied up for less time, and errors caught before they spread — builds a strong foundation for the entire project and cuts downstream cost dramatically. Fixing a data problem on day one instead of inside the cutover window is the difference between minutes and days, and it compounds across every error you avoid.

AI in field mapping — and in writing the rules

On stage we demonstrated FieldMap AI, our AI-assisted field mapping. The point isn’t that “the AI maps things for you.” The point is that it does so transparently: every suggestion carries a confidence score and a rationale — semantic fit, type compatibility, length, value distribution. You can see why the system thinks what it thinks, and you make the final call.

And it doesn’t only catch wrong mappings — it also flags correct ones that still carry risk.

On top of that comes full AI integration at the rule level: validation rules and transformations can be written from a plain-language description. What used to take an engineer days of manual coding now takes minutes — and a business user can define it, not just the IT team.

The migration ends. The tool stays.

The most important idea we left the room with: the validation rules you build for the migration don’t disappear at cutover. We re-point them — from validating the source data to validating the new system — and after go-live they keep bad data from ever being created in Business Central in the first place. It isn’t a one-off project; it’s ongoing data quality in everyday operations.

Switching ECC off — without losing its history

Going live on Business Central is only half the decision. The other half is what happens to SAP ECC. Long after cutover you still need its historical data — for audit, tax, legal retention and reporting. Keeping the old system running just for read access is expensive, and every year of licences, infrastructure and maintenance keeps adding up.

The same extraction and validation discipline that powers the migration can also carve out the key historical data you are required to keep — profiled, validated and structured — into an accessible archive. With that in place, you keep the reports and switch the old system off for good.

Materials from ERP reDefined 2026

Thank you to IT.integro for the invitation and the flawless organisation, and to everyone who joined us for the conversations about migration, data quality and the practical use of AI in enterprise environments.

FieldMap AI is just one of the tools we showed on stage. The bigger story is how we now run SAP ECC → Business Central migrations end to end with AI — fewer people, fewer test cycles, errors caught at the source.