How Quality Engineering for SAP Drives 403% ROI

Summary

A Forrester Total Economic Impact study commissioned by SAP and Tricentis puts the return on SAP quality engineering investment at 403%, with a payback period of under six months. The more important finding is what drives ROI: treating quality engineering as a delivery capability rather than a testing function means faster releases, less overrun, and fewer risks carried into go-live.

The business case for SAP quality engineering, backed by Forrester data

A 403% return on investment. A payback period of under six months. A net present value of $9 million. And all of it realised in SAP quality assurance. Most organisations still think of testing as a cost to be managed. The latest Forrester Total Economic Impact™ study, commissioned by SAP and Tricentis, tells a different story: organisations that rethink how they approach SAP quality engineering are unlocking measurable business value at scale, not just reducing risk.

The figures in the study are based on a Forrester Total Economic Impact™ model that combines the experiences of multiple organisations into a single composite enterprise. The reference organisation represents a global company with approximately $30 billion in annual revenue and 40,000 employees, reflecting the scale and complexity of large SAP environments where testing inefficiencies, delayed releases, and extended hypercare periods can carry significant operational and financial consequences.

Fragmented testing and late defect detection are why SAP transformations overrun

SAP S/4HANA transformations consistently struggle to deliver on time and within budget, and the cause is rarely a lack of effort or expertise. It comes down to how testing and quality are structured across the organisation. 

In practice, many organisations rely on fragmented SAP testing landscapes and manual processes that have evolved over time. Different teams use different tools, automation is introduced in isolation, and maintaining test assets becomes a challenge in itself. As systems change, even small updates can trigger significant rework, slowing down delivery, introducing uncertainty, and stretching hypercare periods longer than expected. 

In my experience, it’s not because teams are unprepared, but because defects are detected too late in the process. The study confirms this pattern, showing how manual and disconnected approaches to SAP testing limit scalability, reduce visibility and ultimately hold back transformation efforts.

Through conversations with SAP leaders across industries, one tension keeps surfacing. Organisations want to release more frequently, respond to change faster, and deliver transformations with confidence, yet their own quality processes are often what holds them back. The Forrester findings make that gap visible, and the case for change is hard to ignore.

For organisations that see better results, the difference usually goes beyond tooling and comes down to how they approach quality. They adopt an SAP quality engineering mindset that is integrated, risk-based and continuous. Testing becomes more focused on business-critical processes, automation is embedded into delivery rather than treated as a separate initiative, and quality assurance is introduced earlier in the lifecycle. This allows teams to identify and resolve issues sooner, when the impact is still manageable.

SAP quality engineering reduces testing scope up to 84% and cuts hypercare costs up to 90%

SAP quality engineering is a structured approach to testing that combines automation, risk-based validation and continuous feedback across the delivery lifecycle. When applied consistently, it allows organisations to move faster while maintaining control over quality and risk.

The impact of this shift is clearly visible in Forrester’s data. Organisations can reduce testing scope by up to 84% while increasing automation rates to around 90%. Production errors are reduced by as much as 93%, and hypercare costs can decrease by up to 90%. These improvements make delivery more predictable and reduce the amount of time spent reacting to issues late in the cycle.

The effect on speed and business agility is equally significant. Time to release is reduced by 83%, allowing organisations to move from long release cycles to much shorter iterations. Release frequency increases in some cases by a factor of five, enabling faster delivery of new functionality. The combined business impact is substantial, with $7.8 million in value generated through earlier access to improvements and increased productivity.

What stands out, both in this study and in the work we do with clients, is that the largest share of value does not come from cost savings, but from the ability to deliver change more quickly. When organisations shorten the distance between idea and execution, they create space for innovation, improve user experience and respond more effectively to market and regulatory demands. In that sense, SAP quality engineering becomes closely linked to business agility.

At the same time, these outcomes are not automatic. Many organisations invest in SAP test automation and still struggle to realise the expected benefits. The difference often lies in how well the different elements of quality engineering are aligned. Without a clear SAP quality engineering strategy, integrated processes and the right level of governance, even the best tools can fall short of their potential.

Embedding SAP quality engineering into delivery requires structure, not just tooling

Organisations that realise the full value of SAP quality engineering share a common starting point: they understand where they stand before deciding where to go. At TTC Global, we work with clients across a wide range of SAP transformations, and our starting point is always the same: looking beyond tools to processes, capabilities and ways of working, then defining a path forward that is realistic, scalable and tied to actual business priorities.

In practice, our work tends to follow a consistent pattern. We begin by assessing quality maturity and identifying the gaps most likely to affect delivery. From there, we help define a testing strategy built around business risk and critical processes, rather than coverage for its own sake. We then support the move toward sustainable automation and continuous testing, working alongside internal teams as they adapt to new ways of working and take genuine ownership of quality.

Done well, this is how SAP quality engineering becomes embedded in an organisation rather than bolted on. Delivery teams reach a point where quality, speed and control reinforce each other.

Looking ahead, I believe this shift will only become more important. SAP landscapes are becoming more complex, with cloud adoption, integration and continuous change increasing the pressure on delivery teams. Traditional approaches to SAP testing are no longer sufficient to manage that complexity. The Forrester study provides clear evidence that a structured quality engineering approach delivers results not just by avoiding problems, but by enabling faster, more confident delivery across the organisation.

More importantly, they show that investing in quality is not just about avoiding problems. It is about enabling better outcomes. For those willing to rethink their approach, SAP quality engineering can become a powerful lever for both operational excellence and long-term business value.

For organisations navigating SAP transformations, quality increasingly determines how quickly and confidently change can be delivered. If you are looking to strengthen your SAP quality engineering approach, starting with a clear understanding of your current maturity can provide valuable direction.

Contact us to explore what a stronger SAP quality engineering foundation could look like for your organisation.

Frequently Asked Questions

How to build a business case for enterprise quality engineering investment?

The strongest business case for enterprise quality engineering investment is built around what poor quality costs rather than what good quality requires. Forrester research found that SAP quality engineering reduces testing scope by up to 84%, cuts hypercare costs by up to 90% and reduces production errors by up to 93%, framing investment in terms of cost avoidance and delivery acceleration rather than testing coverage.

How does quality engineering reduce SAP go-live risk?

Quality engineering reduces SAP go-live risk by embedding validation earlier in the delivery lifecycle, directing testing effort toward the highest-risk business processes and ensuring defects are caught before they reach production. Forrester research found that a structured SAP quality engineering approach reduces production errors by up to 93% and hypercare costs by up to 90%.

What is the financial case for SAP QA investment?

The Forrester Total Economic Impact study found that organisations with a structured SAP quality engineering approach achieve a 403% return on investment with a payback period of under six months. The returns are driven by reduced testing scope, fewer production errors, lower hypercare costs and faster release cycles working together rather than any single factor.

How do I quantify the value of SAP test automation to a finance or executive audience?

Translate testing metrics into outcomes finance and executive audiences already track: defect escape rates, hypercare duration, release cycle length and cost overrun frequency. Forrester research provides independently verified benchmarks: testing scope reduced by up to 84%, production errors reduced by up to 93% and hypercare costs reduced by up to 90%, all of which can be mapped to financial impact using an organisation's own baseline figures.

What cost savings are realistic from SAP quality engineering at enterprise scale?

Forrester research found that SAP quality engineering reduces testing scope by up to 84% and hypercare costs by up to 90%. At project level, TTC Global clients have reduced testing costs by 50% and cut execution time by more than 90% on individual SAP programmes. The scale of saving depends on the current maturity of the testing approach and the complexity of the SAP landscape.