If you start your SAP S/4HANA transformation journey as just a technical upgrade, you’ll be setting yourself up for failure. The truth is, a successful transformation isn’t just about moving systems – it’s about building a clean, governed, and future-ready core.
As organisations prepare for their transformations, many underestimate the profound impact their legacy data will have on the new system.
In S/4HANA, certain fields that used to be descriptive are now analytical, so if you have bad data, you are magnifying those errors into your new, real-time reporting and decision-making processes.
The architecture of S/4HANA is designed to handle massive amounts of data in-memory, and that power comes at a cost. That’s why it’s critical to decide what data stays in the live system and what can be archived – a clear, defensive data retention strategy is essential. If you don’t clean up the data and right-size the volume before you go live, you will simply be running bad processes faster and paying a premium to do so.
Are you unsure how much data debt is hiding in your legacy systems?
1. Right-Sizing with Archiving and DVM
Data Volume Management (DVM) and archiving should never be an afterthought.
Start early – Run Data Volume Management (housekeeping + application archiving) as an S/4HANA pre‑project and complete it at least 12 months before the migration freeze, not near cutover.
Shrink the Footprint: Archive business-complete data to shrink the live database and reduce load. On HANA, larger footprints drive memory use and can hurt stability/performance – keep growth in check.
Reduce Risk: A smaller data footprint shortens technical conversion runtimes in a Brownfield approach, reduces HANA memory sizing, and lowers risk across the programme. In ECC, attachments are often the largest space contributor; offload them to an external, ArchiveLink-compatible repository to reduce database size.
Maintain Compliance: You must establish a defensible data retention policy to determine what stays in the ‘hot’ system and what is archived, and consult with internal audit on retention considerations.
2. Choosing the Right Migration Strategy
When deciding how to migrate, organisations often focus on the technical ‘how’ instead of the strategic ‘what’ and ‘why’. A common pitfall is deciding based on IT convenience or budget rather than long-term business agility.
The danger of ignoring this discovery step: Regardless of which path you choose, if you neglect data early, you will bleed time and money later. Data profiling dictates which migration path is best:
Brownfield: A Brownfield approach allows you to keep your existing processes and data while technically upgrading to S/4HANA quickly. However, this approach also carries forward your existing technical debt, which means you gain speed in implementation but may delay the broader business transformation.
Greenfield: In contrast, the Greenfield approach involves a complete teardown and rebuild. This option delivers a clean core system, leverages SAP best practices, and enables real business transformation. The trade-off is that it requires a higher upfront investment, particularly in change management and organisational readiness.
Hybrid (Selective Data Transition): This approach takes a middle path. It allows organisations to carefully decide which processes and data to keep, reengineer, or leave behind, striking a balance between speed and transformation.
3. Preventing Post-Migration Data Decay
A common pitfall is treating data cleansing and archiving as a once-off migration task rather than an ongoing business practice.
Archiving, Migration, and Data Governance should be seen as three phases of the same strategy: clean, move, govern. Once your clean data is in the new system, it requires active protection.
This is where SAP MDG fits in, stabilising S/4 environments by governing the data post-migration. Embedding robust MDG practices ensures that data quality does not degrade after go-live, preventing data decay and maintaining the right balance between governance and agility.
Every business has unique processes, data, and transformation goals.
The Phase 0 Mandate
Before committing to a migration path, it’s critical to understand your data. A Phase 0 data assessment ensures you identify and address bad data before it moves to S/4HANA. Start by profiling your data to evaluate quality, volume, and custom code complexity, and let these insights guide your migration strategy.
We recommend beginning with a DVM/archiving assessment using the 80/20 rule, focusing on the 20% of objects that drive 80% of your data volume.
Archive historical volumes in ECC before conversion to reduce the S/4HANA load. After go-live, apply quick-win DVM measures and proactive archiving to keep HANA growth under control. By treating data as a strategic asset rather than a technical afterthought, you can achieve a smaller system footprint, faster conversions, lower costs, and better overall performance.
Building a Clean, Future-Ready S/4HANA Core with GlueData
We recognise that data is the foundational pillar of any successful digital transformation.
Our globally recognised, SAP-certified consultants bring deep technical and industry expertise to complex projects, ensuring your organisation can modernise confidently.
By leveraging proven accelerators, embedded mapping, and a methodology tightly aligned with SAP Activate, we take the guesswork out of your transition.
We partner with multinational enterprises to engineer a clean, compliant, and highly governed SAP environment that is built for sustainable growth.
