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Seven Decisions That Determine S/4HANA Migration Success

S/4HANA migration is rarely just a system upgrade. This article outlines seven key decisions shaping success, based on real-world experience from senior data and transformation leaders navigating complex ERP transitions.

As the deadline for SAP ECC support approaches, many organisations are now actively progressing their S/4HANA migration plans. What often begins as a necessary system upgrade quickly becomes something far broader; a programme that reshapes how data is structured, governed and used across the business.

Leaders going through this transition are finding that the complexity lies less in the technology itself, and more in the decisions that sit around it. Choices about process standardisation, data ownership, analytics architecture and enterprise integration tend to define whether the migration delivers long-term value or simply recreates existing challenges in a new system.

In practice, this means S/4HANA migration is rarely just an IT initiative. It is a business transformation programme that requires alignment across data, technology and operating models.

The decisions that shape success and where programmes struggle

While each organisation’s context is different, during recent DataIQ closed-door peer discussions, leaders spoke of the same set of decisions that repeatedly surface often early in the programme, and often with long-term consequences.

These decisions are not always treated as such. In many cases, organisations move forward without fully resolving them, only to encounter issues later around performance, governance or adoption.

The infographic below distils seven of the most important decisions identified by senior data and AI leaders who are actively navigating S/4HANA migration today. It highlights where programmes tend to stall, and where a more deliberate approach can make a material difference.

Where organisations are focusing their efforts

Treating the migration as a business transformation

One of the most consistent lessons is that S/4HANA migration cannot be approached as a technical upgrade. Changes to data models, financial structures and reporting hierarchies have direct implications for how the business operates.

Organisations that involve business stakeholders early, particularly around data definitions and process changes, are better positioned to avoid late-stage redesign and resistance during adoption.

Starting data preparation earlier than expected

Data preparation is proving to be one of the largest and most underestimated workstreams. Many organisations are dealing with decades of accumulated complexity, including inconsistent master data, redundant fields and conflicting definitions across regions.

Some have begun data cleansing and harmonisation years ahead of the system migration itself, recognising that without this work, the new environment risks inheriting the same issues.

Designing analytics architecture deliberately

Another area of active debate is how S/4HANA should interact with existing analytics platforms. Rather than consolidating everything into SAP, many organisations are choosing to maintain separate analytics environments.

This is often driven by performance considerations, but also by a desire to retain flexibility. Some are introducing intermediate layers that standardise data and allow different tools to be used for different purposes, rather than committing to a single platform too early.

A practical summary of peer experience

The infographic below captures seven decisions that repeatedly emerge in S/4HANA migration programmes. Together, they provide a practical guide to where organisations are focusing their attention and where common challenges tend to arise.

Moving from insight to execution

While these decisions are widely recognised, the way organisations approach them varies significantly depending on their starting point, industry constraints and existing technology landscape.

In the full peer discussion, leaders share how they are: