Data migration to SAP S/4HANA: why the master record decides the project

Few projects expose the quality of a company's data like data migration to SAP S/4HANA. The new system arrives promising speed, better analytics and more integrated processes, but the base that will be loaded is the same as always: duplicate materials, suppliers registered three times, customers with the wrong CNPJ (Brazil's company registration number) and descriptions nobody understands. And there lies the problem.

Data migration to SAP S/4HANA is the process of transferring data from a legacy system, most often SAP ECC, to the new S/4HANA environment. In theory it looks like technical work of moving records from one place to another. In practice, it is the moment the company discovers the real state of its master data.

With mainstream support for SAP ECC scheduled to end in 2027, this project has stopped being a hypothesis and become a deadline. And it is precisely the rush that tends to make companies repeat the same mistake: migrate first and fix later. Anyone who has taken part in a project knows that bad data that enters the new system doesn't improve on its own. It just starts getting in the way faster, now inside a more expensive platform.

Let me give a common example. The purchasing area has the same screw registered with five different descriptions. In ECC this already caused repeat purchases and inflated inventory. In the migration, untreated, those five records become five materials in S/4HANA. The spend report still doesn't close, the demand-forecasting artificial intelligence the company wanted to use receives dirty data and returns a wrong recommendation, and the project that was supposed to modernize the operation only digitized the old disorder.

The point is that data migration to SAP S/4HANA is not a system problem, it is a governance problem. Before loading anything, the company needs to answer the basics: who owns each piece of data, what the record-creation rule is, what counts as a duplicate, what can be deactivated and what needs data cleansing. In practice, this means mapping the master data for materials, suppliers and customers, defining a description standard, eliminating duplicates and classifying correctly before the load, not after.

Companies that treat migration as a data cleansing opportunity enter S/4HANA with a cleaner base, fewer records and more confidence in the numbers. Those that treat it as a technical copy carry all the old problems along, now with a new-system label.

Data migration to SAP S/4HANA is one of the few real chances to start over with organized data. It is worth not wasting it.

This is the kind of decision we work on at MDM Academy, 4MDG's school of governance and master data. MDM Academy trains master data analysts and purchasing, supply chain and IT professionals to understand, in practice, how to structure master data, cleanse bases and sustain projects like the S/4HANA migration without repeating the usual mistakes. If you want to develop that skill and connect with people who live these challenges every day, it is worth getting to know MDM Academy and joining the Data Club.

4MDG specializes in data migration projects for SAP environments.