Next-Generation Analytics: From Semantic Layers to Generative BI

Next-Generation Analytics: From Semantic Layers to Generative BI
TDWI Blueprint Research

Organizations continue to invest in self-service and democratized analytics, yet many still struggle to deliver trusted insights at scale. At the same time, generative AI is reshaping how users interact with analytics and data. TDWI defines generative BI as the application of generative AI technologies to business intelligence and analytics workflows to enable conversational access to data, automated insight generation, contextual analytics, and AI-assisted decision support.

This TDWI Blueprint research is designed to identify the architectures, semantic layers, governance practices, metadata strategies, and organizational approaches needed to successfully implement and scale generative BI. The research will examine how organizations are balancing conversational access and analytics democratization with trust, consistency, governance, and business context to build next-generation analytics environments for the AI era.