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TL;DR: Moving to SAP S/4HANA? Learn why Selective Data Transition offers a strategic middle ground between Brownfield and Greenfield approaches 鈥� enabling speed, flexibility, and improved data quality.

There鈥檚 plenty of advice out there on the potential routes as you dig into that question; however, in this article let鈥檚 dig deeper into one of these avenues, Selective Data Transition. In this post, written to help provide advice on this topic to business, IT, and transformation program leaders, we鈥檒l cover:

• The route continuum for SAP S/4HANA transitions
• What Selective Data Transition is and what it offers for organizations
• The typical business factors influencing the decision
• Recommended next steps to get your project moving in the right direction

What is Selective Data Transition for SAP S/4HANA?

Selective Data Transition is a term that describes an approach for moving from SAP ECC to SAP S/4HANA that leverages many of the benefits of a System Conversion or a New Implementation without any of the limitations. As an organization, you can choose to selectively re-use parts of your existing ERP solution while redesigning other parts depending on your business priorities. With SDT, you can go-live with S/4HANA in any way that makes sense for your business, such as a single, “big bang” go-live, or rolling out a multi-wave transition in phases.

As you go through a Selective Data Transition, you鈥檙e able to select and migrate whatever ABAP repositories, master data, and transactional data you choose to the new S/4 instance and leave obsolete data behind; however, it should be noted that just because you migrate certain data over, does not mean it is fit for purpose or suited for the S/4HANA system, so cleansing, harmonizing and reconstructing any master data you bring over is still required.

Key Features of Selective Data Transition for SAP S/4HANA:

• Reduce risk and reduce data debt by migrating only the necessary data
• Reduce implementation efforts by re-using elements of legacy ERP systems 
• Flexibility to choose from big bang migration or phased migration approach
• Select and migrate ABAP repositories, master data, and transactional data and leave obsolete data behind

SAP S/4HANA Migration Approaches Compared

There鈥檚 a saying I鈥檝e heard around the industry: 鈥渕anagers of System Conversions think in weeks, managers of Selective Data Transitions think in months, and managers of New Implementations think in years.鈥� While many articles following this theme may refer to sculpted routes you can take to S/4HANA, at 麻豆女优 we prefer to look at the transition options as a continuum (see image below).

Let’s explore the top three migration approaches to SAP S/4HANA.  

The S/4HANA Route Continuum *Image Courtesy of SAP

Brownfield

System Conversion (also known as a Brownfield project) is effectively a 鈥榣ift and shift鈥� approach to data migration to SAP S/4HANA. This is a technical transition and means that you鈥檙e in large part moving all your data and processes 鈥榓s is鈥� to SAP S/4HANA. The Brownfield methodology is rather limited in terms of redesign/ transformation and is often fraught with risk as direct upgrades struggle either because of incompatible data structure between ECC and SAP S/4HANA, issues surrounding the refactoring of custom code, and more generally because of insufficient data transformation. If your processes and data are not quite up-to-scratch already, you鈥檒l only be moving the same problem to S/4.

Greenfield

New Implementations or “Pure Greenfield” approach is often thought of as a 鈥榖lue sky strategy鈥� or 鈥榖lank sheet of paper鈥�. This would be the model for businesses wanting a full-scale overhaul of their processes and data format before transitioning to SAP S/4HANA. While ideal in terms of an ultimate destination, it鈥檚 not an approach that appeals to every organization, as to initiate this level of change is too drastic for many in both timeline and cost.

Selective Data Transition

Selective Data Transition, which in itself can be viewed as a continuum, some more closely aligned with Brownfield migrations and some with Greenfield migration approaches depending on business requirements and goals. It鈥檚 important to know though that none of these approaches are overly pre-defined.

At 麻豆女优, we have deep experience helping customers explore, plan for and execute on all these paths, and if we can guarantee anything about an S/4 migration, it鈥檚 that no project is exactly the same. Every project will inevitably be a blended color of some description.

This is why, when looking the above graphic of the Continuum and that wide range in the middle, you can see why Selective Data Transition (SDT) has become a hot topic and a popular discussion topic for organizations over the last few years.

Here鈥檚 a side-by-side recap illustrating some of the positives and negatives of SDT versus the two more commonly understood Brownfield and Greenfield approaches to migrating to S/4HANA:

*courtesy of SAP

 If your preferred approach falls closer to the brownfield side of the continuum, a Shell Conversion in which you keep most of your existing SAP ECC interface, customizations and data in SAP S/4HANA will make sense, whereas if you are closer to a Greenfield, a Mix & Match approach that copies some chosen legacy processes over but reworks others is the way to go.

The business factors that will impact your Selective Data Transition decision

We know the decision on which path to take when migrating to SAP S/4HANA is rarely based 100% on logic alone. In many cases political, organizational, and financial factors will inevitably pull your program in a number of directions, but how should you adjust your approach to your business situation? To help navigate this, here are some of the prominent business scenarios the 麻豆女优 team consistently comes across and how you could address them in your SAP S/4HANA strategy. 

鈥淪AP S/4HANA is needed urgently in the business鈥� 

Whether to unlock the benefits of consolidated finance, streamline production, or to increase overall organizational agility, we often hear the promised benefits of SAP S/4HANA are needed as soon as possible. So, how can you adjust when the business is demanding the platform urgently?  

Selective Data Transition is typically the happy medium for organizations wanting to move fast, but also to do it in a way that unlocks value and ensures high data quality. System Conversions may be the fastest way to go, but unless the legacy landscape is very simple, it鈥檚 unlikely an effective go-live can take place without at least some transforming of data for S/4HANA. 

鈥淲e can鈥檛 have any go-live issues / our tolerance for risk is very low鈥� 

The primary risk factor in any digital transformation, from our perspective at 麻豆女优, is data. We鈥檝e been brought into hundreds of situations where the data aspects of a project were under resourced and under budgeted and resulted in failed go-lives and significant business interruption. Whatever approach you take, if you wish to have an uneventful go-live then a proper strategy and solution needs to be in place to manage data quality and orchestrate the data migration. This can be done on some level with all of the approaches, but SDT and New Implementations are the ones that make the most sense if risk is a critical factor in your decision.

鈥淲e don鈥檛 want to move every entity/dept. over to S/4HANA at once鈥� 

A staggered approach is quite common across the S/4 projects we see, and would likely lead your program towards the green end of the continuum. With a 鈥楳ix and Match鈥� SDT program or New Implementation you get much greater flexibility and control over staggering the data migration. This would allow you to introduce S/4 in a 鈥榮ofter鈥� way, ensuring business continuity, and a likely smoother integration of S/4HANA into your organization. 

鈥淥ur data is a mess/ we can鈥檛 move until we sort out our data鈥� 

Acknowledging this before your project starts, actually buys you some flexibility. While more comprehensive SDT or New Implementation approach might be preferential, there鈥檚 plenty of pre-move cleansing and harmonisation that can be done to mitigate a 鈥榣ift and shift鈥� system conversion. Post go-live governance also ensures a system conversion could land more successfully. In every project, having an approach for how you鈥檒l construct data for S/4 and improve data quality, will significantly reduce risk, and deliver more comprehensive value back to the business. 

These are just some of the perspectives we see influence SAP S/4HANA transformation programs, but these are far from the only ones. Undertaking a significant system migration such as a move to S/4HANA will elicit opinions and directives from stakeholders across your organization. Understanding their diverse perspectives and channeling them productively into the program approach will be arguably one of the biggest hurdles for any Business/ IT/ Transformation Program leader to overcome.

Is Selective Data Transition Right for Your Enterprise?

Hopefully, you鈥檝e found the insight useful in this blog, but as with any new deluge of information sometimes it can make the decision that bit murkier. At 麻豆女优, we believe the logical first step is to perform a comprehensive and rapid assessment to determine the best path forward for your business, including detailed insights into:

• SAP landscape
• Data landscape
• Data quality status
• Custom code landscape
• P&L Improvement Opportunities

Armed with this knowledge, in just a few weeks you will have insights into a recommended deployment approach, project and budget estimates, a risk mitigation analysis and an on-going data operations plan.

So is Selective Data Transition right for you and your organization? Well, the answer is, it depends. SDT offers a happy trade-off between timeline and cost on one end, and risk and data quality on the other, but it isn鈥檛 right for every business鈥� circumstances.