Today’s enterprise IT leaders are charged with modernizing the infrastructure that will support digital transformation. Wherever possible, they are looking for opportunities to optimize business processes, improve performance, and accelerate delivery – all while reducing operational overhead. Modernizing SAP is often the first and most important step.
The reason is twofold. First, SAP forms the backbone of many organizations’ IT infrastructure. Second, the SAP landscape is changing. SAP customers currently running SAP’s business applications on a non-SAP database must migrate to SAP S/4HANA by 2027. Many SAP customers are both preparing for this transition and optimizing their environment to support digital transformation in the meantime.
As the digital core of many organizations, modernizing SAP can catalyze the transformation of processes across the business, from simplifying inventory management to increasing efficiencies across sales, purchasing, finance, and accounting. As an organization prepares to take on digital transformation, modernizing SAP can be incredibly powerful – and also incredibly risky.
SAP is so critical to business processes that even a minor update to an SAP application has the potential to bring business to a standstill. There’s a heavy burden on IT teams to minimize that risk. And that requires thorough testing, both of the release itself, and across all of the complex, end-to-end business processes that could be affected by it.
But when business processes are evolving faster than the technology that supports them, how can you possibly find the time? When AGL Energy kicked off an initiative to progress from idea to production in five days, that’s exactly what the SAP delivery team asked. At the time, their SAP regression testing cycle took 45 days. Unless they modernized their approach, they’d miss the five-day goal by a long shot.
A new Tricentis white paper outlines three field-proven strategies for speeding up SAP innovation by implementing test automation best practices: automating risk analysis, testing what matters most first, and advancing toward Continuous Testing maturity. When AGL Energy adopted this approach, they shaved 43 days off of regression testing timelines – and reduced SAP testing costs by more than 80%.
To learn more about how AGL Energy and other leading enterprises have modernized SAP testing to deliver higher quality SAP innovation faster, read the white paper.