Agentic Analytics: Building a Data Foundation for AI Agents
Snowflake, Thursday, October 22nd, 2026
Snowflake explains agentic analytics and the data foundation needed for AI agents to investigate business questions.
Snowflake describes agentic analytics as the next shift after dashboards and generative AI summaries, in which an AI agent investigates a business question by choosing data, learning from results and deciding next steps.
Using a customer churn example, the post shows how an agent might compare segments, review product usage and investigate support issues.
Snowflake argues that such agents require a governed, well-modeled data foundation to deliver trustworthy answers.
The post outlines the building blocks enterprises need for agent-driven analytics.