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Fit-to-Standard — But Which Standard Are You Actually Choosing?

  • Writer: David Murphy
    David Murphy
  • 24 hours ago
  • 4 min read

Petrol prices are a hot topic right now.

But the real question isn’t just cost — it’s choosing the right fuel.


With rising prices, knowing exactly what your vehicle needs matters more than ever. Get it wrong, and you either underperform… or overpay for something you don’t need.


The same principle applies to S/4HANA.


“Fit-to-standard” has become a cornerstone of S/4HANA transformations, especially when aligned to SAP Activate. The intent is clear: adopt proven processes, reduce customisation, and accelerate delivery.


But here’s the challenge:


There isn’t just one “standard” — particularly across Supply Chain and Operations.


Choosing the wrong one can introduce unnecessary complexity, cost, and inefficiency — the equivalent of putting premium fuel into a system that doesn’t need it.

The Myth of a Single Standard

Within SAP, there are multiple standard paradigms — and in this example we are only looking at Plan-to-Deliver. The same situation exists across Finance, HR and other domains.


Across the Plan to Deliver value chain, there are multiple “standard” options within each module — each shaping how processes run, how users interact with the system, and how data flows across the business:


  • PP (Production Planning) - discrete, repetitive, process

  • MM (Materials Management)

  • WM / EWM (Warehouse Management options)

  • SD (Sales & Distribution)

  • TM (Transportation Management)

  • PM (Plant Maintenance)

  • QM (Quality Management)


Each of these contains multiple standard process variants — designed for different operating models, levels of complexity, and business maturity.

Standard Does Not Always Mean Simple

A common trap is assuming that adopting SAP standard automatically leads to simplification.


In reality:

  • EWM may offer advanced capability — but at the cost of increased process complexity vs WM

  • TM can optimise transport planning — but may be unnecessary for simpler logistics networks

  • QM processes can be highly structured — but may introduce overhead if not aligned to actual business needs


Without careful selection, organisations risk:

  • Over-engineering their processes

  • Increasing the number of user steps

  • Creating reliance on workarounds


The goal should not be maximum functionality — but appropriate simplicity.

Choosing the Right Standard Across the Landscape

All of the options above are standard.


The challenge is not whether to adopt standard — but which standard to choose.


Getting this right is critical to:

  • Avoid unnecessary complexity

  • Ensure key controls are retained within S/4

  • Enable coherent end-to-end processes

  • Define effective integration with external systems


Key design decisions include:


  • Production Planning (PP) →

    • Material staging vs direct consumption

    • Confirmation frequency (real-time, shift-based, backflush)

    • Integration with Goods Receipt

    • Handling of bulk materials across multiple finished goods

    • Order creation, scheduling, and release


  • Materials Management (MM) →

    • Level of supplier collaboration

    • Use of forecasts, confirmations, ASN

    • Integration with third-party warehousing


  • Warehouse Strategy (WM/EWM)

    • WM vs EWM vs external WMS

    • Retain or replace legacy systems

    • Level of automation and control required

    • Basic or Advanced requirements


  • Logistics (SD / TM) →

    • Order capture and fulfilment approach

    • In-house vs 3PL transport planning

    • Execution ownership and visibility

    • Need for control tower capability


  • Asset Management (PM) →

    • Retain or replace legacy maintenance tools

    • Integration of spare parts and scheduling


  • Quality (QM) →

    • Inspection points across the lifecycle

    • Traceability requirements (batch, serial, none)

    • Level of quality system integration


These decisions must align across:

  • End-to-end process flows

  • Data structures

  • Integration models

  • External systems


And critically — they must reflect how the business actually operates, or intends to operate.

Structural Decisions That Drive Complexity

Some of the most impactful decisions are structural, not process-driven.


For example:

  • Should a site be defined as a plant?

  • Or a storage location within a plant?


What appears to be a simple early decision can significantly increase — or reduce — overall complexity.


However, these decisions should not be locked in too early.


The most effective programmes:

  • Allow users to experience processes in a sandbox

  • Demonstrate end-to-end scenarios

  • Base decisions on system behaviour, not documentation


This reduces rework and ensures decisions are grounded in reality.

Who Should the User Interact With?

A key but often under-discussed question is:


Where should the user experience sit?

To maintain a clean core, not every interaction needs to happen directly in S/4.


Not all interactions need to occur in S/4:

  • Warehouse users → EWM RF/mobile

  • Shop floor → MES

  • Quality → LIMS

  • Transport → TM


The principle:

  • Use specialised systems where appropriate

  • Keep S/4 as the system of record and orchestration layer


This preserves a clean core while maintaining usability.

Keeping the Core Clean — While Keeping It Usable

A clean core approach does not mean compromising user experience.


A pragmatic approach includes:

  • Using SAP Fiori to simplify transactions

  • Applying small, targeted enhancements

  • Leveraging SAP BTP for lightweight extensions


This ensures:

  • Alignment to standard

  • Improved usability

  • Avoidance of heavy customisation


The focus is on simplifying interaction — not redesigning core processes.

Integration: Purpose over volume

Standard processes often rely on well-designed integration.


Key questions:

  • Which system owns the data?

  • What level of detail is required?

  • How frequently should data be exchanged?


For example:

  • Full LIMS results vs pass/fail into QM

  • Real-time MES confirmations vs aggregated updates


Over-integration leads to:

  • Increased complexity

  • Performance issues

  • Higher failure risk


The goal is purposeful integration — not maximum integration.

Don't Let External Systems Drive Design

A far too common mistake is allowing legacy systems to dictate SAP design.


This leads to:

  • Compromised standard processes

  • Increased customisation

  • Long-term constraints


Instead:

  • Define the SAP standard first

  • Align external systems to it

  • Clearly define ownership

Don’t Ignore Change Management

Every standard choice impacts users.


More complex solutions mean:

  • Higher change impact

  • Increased training needs

  • Greater adoption risk


Choosing the right standard is as much a people decision as a technical one..

Final Thought

“Fit-to-standard” is not about adopting everything SAP offers.


It is about:

  • Selecting the right standards

  • Keeping processes as simple as possible

  • Designing integrations intentionally

  • Placing user interaction in the right systems

  • Maintaining a clean, sustainable core


Just like fuel — the right choice isn’t the most powerful or the most expensive.


It’s the one that best fits your engine.


Get this right, and S/4 becomes an enabler.

Get it wrong, and “standard” becomes another layer of complexity — often driving users back to offline spreadsheets just to get work done.

 
 
 

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