Public-sector agencies are under growing pressure to modernize, move enterprise resource platforms to the cloud and prepare for AI. Agency data is often spread across a mix of legacy systems and newer platforms, a fragmented environment that can compromise data quality, security, compliance and audit readiness. But it isn’t enough to push your ERP to the cloud and expect things to run the way they always have. Cloud applications require frequent software updates and must interconnect smoothly. Manual testing methods that worked on-premises no longer scale.
The solution begins with a quality-first mindset at every stage of modernization. Agencies must shift from periodic testing to continuous, automated testing that supports complex integrations across ERPs, databases and public-facing systems. Maintaining the quality of systems and data enables agencies to operate efficiently and reliably, and creates the best environment for adopting AI.
“When you’re thinking about modernizing … to take advantage of new AI features and all the great new functionality that’s available, you still have to understand that data management is the foundation to these applications working well. Think of it as an opportunity to re-evaluate how you store and manage data,” said John Lange, Product Marketing Manager for Public Sector at Tricentis.
In this video interview, Lange explains the role of automated testing in data accuracy, process efficiency, compliance and security — and why it should be the foundation of any modernization effort. Topics include:
- Possible unforeseen demands of moving to the cloud
- Connections between data governance, modernization and AI
- How automated performance testing meets those challenges