GoodData Product Journey: Building Reliable, AI-Ready Analytics at Scale

Description

Today’s top analytics teams aren’t just delivering dashboards anymore; they’re engineering intelligent, governed analytics systems that scale with the business.

In this webinar, Ryan Dolley looks at GoodData’s newest capabilities and the modern engineering practices that help data teams deliver trusted, automated, and AI-powered analytics.

You’ll explore live demos of GoodData’s latest innovations and how these capabilities make analytics governed, automatable, and ready for enterprise-scale AI adoption:

💡 Analytics Catalog – The foundation for governed, reusable analytics assets that fit seamlessly into automated workflows. 💡 Semantic Quality Agent – Built-in intelligence that continuously validates semantic consistency, enabling quality checks in CI/CD pipelines. 💡 AI Memory – Demonstrating the payoff of a governed foundation: context-aware, adaptive analytics experiences that learn and evolve with users. 💡 Key Driver Analysis – Instantly see what factors drive metrics to change over time. 💡 AI agents – Configure, customize, and deploy agents that work together to answer end-user questions

Then, we turn theory into practice.

After the demos, our customer guest Thomas Karbe from Aklamio show us how their analytics team combines GoodData with AI coding assistant Cursor to super-charge their analytics development, doing everything from data modeling to dashboard deployment and environment administration via AI-driven CI/CD.

Whether you’re leading a data team or modernizing your analytics stack, you’ll leave with practical techniques and real-world examples of how to operationalize analytics — turning innovation into impact, and AI into action.