Watch how a finance team moves from fragmented spreadsheets and misaligned dashboards to a single source of truth — querying live warehouse data and AI assistants with the same trusted metrics, all without extracts or manual reconciliation.
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
