When companies start planning a move to SAP S/4HANA, the first discussions usually focus on timelines, implementation partners, licensing, system architecture, and process redesign.
Data often comes later. It is treated as one of many technical workstreams that will simply need to be completed before go-live. In reality, SAP S/4HANA data migration can have a major impact on the project timeline, budget, and ultimately on how much users trust the new system.
The challenge is not simply moving data from one system to another. Companies first need to decide which data should be migrated, whether it is accurate and complete, how it needs to be transformed, and who is responsible for confirming that it is correct.
Before SAP S/4HANA Data Migration Begins, There Is One Important Question to Answer
Once a company decides to prepare for an SAP S/4HANA migration, one of the first questions should be:
How good is the data we are planning to move into the new system?
This question is easy to underestimate. Over the years, SAP ECC environments often accumulate duplicate records, incomplete master data, outdated information, inconsistent formats, and business-specific workarounds.
As long as the existing system continues to operate, many of these issues can remain hidden in day-to-day processes. A migration brings them to the surface.
The problem is therefore not only how to transfer the data. The company first needs to determine which data is still relevant, which records can be archived, which need to be corrected, and which should not be migrated at all.
Why Do Data Quality Problems Often Appear During Migration?
At the beginning of an SAP S/4HANA transformation, other topics tend to receive more attention. Architecture, integrations, custom code, process redesign, and the choice between system conversion, greenfield implementation, or another migration approach often appear more urgent.
Data quality may not immediately block system design. The pressure usually arrives during the first migration cycles, when teams begin working with real data. That is often when they discover that:
- the same customers, suppliers, or materials exist multiple times,
- mandatory fields are missing,
- values are stored in different formats,
- records from different systems contradict one another,
- or nobody knows which department has the authority to decide which record is correct.
If data cleansing starts only shortly before testing or go-live, it can quickly affect the entire project schedule. Changes to the data may require updates to migration rules and scripts. They may influence integration tests, user acceptance testing, reporting, and business readiness. What initially looked like a technical task can therefore become a critical project dependency.
SAP S/4HANA Data Migration Is Not Just an IT Task
The technical team can prepare migration tools, mapping rules, transformation logic, and the migration process itself. But IT cannot make every business decision about the data. It cannot decide on its own whether a customer should still be considered active, which supplier record is valid, whether a material description is correct, or which historical records still need to be available in the new system.These decisions belong to the people who understand the business meaning of the data.
That is why every important data domain should have a clearly defined owner. For example, responsibility for data may be distributed across finance, procurement, logistics, manufacturing, sales, and other business areas. The role of these owners is not simply to review a final spreadsheet before go-live. They need to help define what good data looks like, which records can be removed, which need to be corrected, and how migrated data should be validated.
For the CTO, establishing this responsibility early is essential. Otherwise, the technical migration can be ready while the business is still unable to confirm whether the data being moved into SAP S/4HANA is actually correct.
Poor Data Quality Does Not Disappear After Go-Live
If poor-quality data is moved into SAP S/4HANA, the same problems continue in the new environment.
Incorrect or inconsistent data can lead to billing errors, unreliable reports, problems in procurement or logistics, incorrect customer and supplier relationships, and additional manual work. The consequences often become visible very quickly. Users begin checking system outputs manually. Teams create their own spreadsheets to validate reports. Different departments start working with different versions of the same information.
Investing time and budget in data cleansing, testing, and validation before go-live can significantly reduce problems during and after the migration.
Better reporting, more reliable data, and faster access to information are among the main benefits companies expect from SAP S/4HANA. A modern platform cannot deliver reliable insights if the underlying data is incomplete, duplicated, or incorrect.
What Should Companies Do Before Migrating Data to SAP S/4HANA?
The first step should be a realistic assessment of the current data landscape. Companies need to understand what master and transactional data they have, where it is stored, how much of it is duplicated or incomplete, and which information will be required by future business processes.
It is also important to define clear owners for each data domain. The technical team can identify inconsistencies, but the final decision on whether the data is correct must come from the business. Based on this, clear rules should be established for:
- data cleansing and deduplication,
- data mapping and transformation,
- historical data archiving,
- migration validation,
- reconciliation between source and target systems,
- and ongoing data quality management.
Data quality should not be checked only once at the end. It should be validated throughout every migration cycle and during testing. This approach makes it possible to identify issues while there is still time to resolve them without significantly affecting the go-live date.
Not sure whether your data is ready for the planned transition?
Talk to our SAP experts. We can help you identify the main data risks, define priorities, and prepare the next steps for a safer migration to SAP S/4HANA.
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