Organizations that depend on SAP for operations increasingly leverage this business-critical IT backbone to support innovative solutions that meet market demands. Efficient execution of SAP app dev projects for customizing, upgrading, and expanding usage is essential for enterprises to realize the benefits of digital transformation.
But slow manual processes for securing and provisioning large SAP databases for test environments impede release velocity. Delphix eliminates these data bottlenecks to remove long-standing wait states throughout the SAP application lifecycle, adding speed and agility to automated DevOps workflows.
Watch this on-demand webinar to learn how to:
- Synchronize test data across a vast SAP landscape
- Shift left with production-quality data and reduce software defects by 70%
- Automatically find and mask sensitive SAP data in non-prod environments
- Efficiently test and rehearse SAP workload migrations to the cloud
See for yourself how Perforce Delphix can help you enable data innovation without risk through advanced data masking.
Presenters
Lenore Adam
Lenore Adam is a former Director of Product Marketing at Perforce Delphix and has 20+ years of experience in product marketing and product management roles at HP, Cisco, and Silicon Valley startups. Having caught the technology bug early in her career, she was fortunate to be on the front lines during major industry shifts such as the explosive growth of x86 servers, the extraordinary transition to Agile development, and now the boundless promise of the cloud.
Matthew Yeh
Matthew Yeh is Vice President of Product Marketing at Perforce Delphix, where he leads positioning for solutions that help organizations deliver compliant, high-quality data for modern software development, analytics, and AI initiatives.
He focuses on translating complex technical capabilities into clear business value for enterprise teams navigating data compliance, test data management, and AI-driven innovation. This can be best seen in his thought leadership with Delphix, such as the 2026 Test Data Management Report for AI-Ready Enterprises he co-authored.
With experience in product marketing and enterprise technology, Matthew brings a deep understanding of how data, DevOps, and AI intersect across the software lifecycle. His work centers on helping organizations modernize development practices while maintaining governance, security, and operational efficiency.