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The Quality Engineering Challenge
SAP transformations are among the most complex technology initiatives an enterprise can undertake. Yet testing, the discipline that determines whether these transformations succeed or fail in production, remains chronically underfunded and undervalued. The partnership between MYGO, SAP, and Tricentis addresses this gap with a comprehensive quality engineering model that transforms testing from a cost center into a value driver.
Quantifiable Results
The numbers make the case. Organizations adopting this integrated quality engineering approach have achieved a 334% return on investment in their testing programs. Testing scope has been reduced by 84% through intelligent risk-based test selection, without sacrificing coverage. Production errors have dropped by 78%, and release cycles have accelerated by 300%.
The Evergreen Quality Engineering Model
Traditional testing approaches treat quality assurance as a project phase that ends at go-live. The evergreen model treats quality engineering as a continuous discipline that evolves with the system. Test assets are maintained as living artifacts that adapt to system changes, new business processes, and evolving regulatory requirements.
How the Partnership Works
MYGO brings deep SAP domain expertise and transformation methodology. SAP provides the platform vision and roadmap alignment. Tricentis delivers the testing automation platform and AI-powered test optimization capabilities. Together, these three organizations provide end-to-end quality engineering that spans the full lifecycle of an SAP transformation.
Risk-Based Testing Intelligence
The most significant innovation in this approach is risk-based testing intelligence. Instead of executing every test case for every change, AI analyzes the impact of each change and selects only the tests that are relevant. This reduces testing effort dramatically while maintaining or improving defect detection rates. The result is faster releases with higher confidence.
Getting Started
Organizations beginning their quality engineering transformation should start with a maturity assessment, identify their highest-risk processes, and build an initial automation foundation. The ROI from even modest investments in test automation compounds rapidly as the test asset library grows and maintenance costs decrease.
