Finance teams should not spend days reconciling numbers across spreadsheets, dashboards, and AI tools. Yet inconsistent metric definitions and fragmented reporting workflows still slow down decision-making across the enterprise.
In this demo, see how AtScale’s universal semantic layer enables FP&A teams to define financial metrics once and deliver trusted answers everywhere, from Excel and Tableau to AI assistants like Claude. Learn how governed semantics, live cloud warehouse connectivity, and MCP-powered AI querying help finance teams move faster without sacrificing accuracy or governance.
What You’ll Learn
- How to define metrics like revenue, gross margin, and budget variance once and reuse them everywhere
- Why semantic governance eliminates reconciliation across FP&A workflows
- How Excel and Tableau can query live cloud warehouse data without extracts
- How AI assistants use MCP to query governed semantic models in plain English
- How AtScale improves performance with intelligent aggregates and caching
- Why semantic layers are becoming critical infrastructure for AI-powered finance analytics
