Systems | Development | Analytics | API | Testing

Tricentis Data Integrity: The one question your data quality tools can't answer.

Your data quality tools check data inside their scope. But can they tell you whether data is still right after it moves across three systems and five transformations? In this video, Adnan from Tricentis explains the gap that data quality tools were never designed to fill. Data moves from your ERP to your data warehouse, to your reporting layer, and from one cloud to another, and every boundary it crosses is a chance for something to change. Learn how end-to-end testing and data reconciliation complement your existing tools by testing data from source to target.

What's new in Tricentis qTest: August 2026

See a generated test plan before it runs, and push a manual test case straight into automated execution across qTest and Tosca Cloud. In this walkthrough, Kateryna tours the refreshed qTest interface, previews an AI-generated test plan before it spends any agentic credits, and shows how to convert a manual test case into an automated Tosca Cloud run. Key highlights.

Tricentis Data Integrity: Validate your data. Trust every decision.

Most business decisions rest on data — but is that data actually tested? Not monitored, not profiled, but verified as fit for business use? For most organizations, the honest answer is no. In this video, Adnan walks through why data testing is a business problem, not just a data problem, and how Tricentis Data Integrity automates data validation end-to-end so you can trust every decision you make.

Why testing Oracle Fusion Agentic Applications is different - and how QA teams can adapt

Oracle’s Fusion Agentic Applications represent a new class of enterprise software. They contain coordinated teams of outcome-driven, proactive AI agents that are engineered to execute business processes across finance, HR, supply chain, and customer experience. For folks who work in those departments, these agents may streamline some of their daily work and help uplevel employees. For testers, they bring a measure of ambiguity. In general, you know how humans use these applications.