AI in business analytics: tools, strategies & case studies

This post details how AI is reshaping analytics, focusing on three key workflows: conversational analytics, coding agents for exploratory analysis, and AI-generated data apps. It emphasizes the importance of governed context (endorsed tables, business rules, semantic models) for trust and accuracy in AI-generated answers. The post introduces the concept of 'vibe-coded dashboards' and data apps built from natural language descriptions, highlighting the need for these apps to inherit context from the same governed layer as other AI workflows. It also outlines evaluation criteria for AI analytics platforms, focusing on the AI analytics experience, trust and accuracy (inspecting generated SQL/code, using governed definitions, observability), and ecosystem integration across various tools like Slack and ChatGPT.