One definition. Every tool. In Snowflake now. With AtScale.
AtScale is now a part of Snowflake Semantic Views — the engine that makes Excel and Power BI return the same number from the same definition, based on your semantics and your compute.
Finance reports one revenue number. Sales reports another. Now AI is answering with a third. This problem is not new. Enterprises have dealt with inconsistent metrics across dashboards, spreadsheets, and reports for decades. But AI raises the stakes. Agents cannot reconcile conflicting definitions on their own. They need governed business context at the source.
That is why Snowflake and AtScale are working together: to bring trusted Snowflake metrics into the tools business users already rely on.
AI Does Not Fix Inconsistent Metrics. It Exposes Them.
AI amplifies confusion
When metrics are defined differently across tools, AI agents return different answers faster.
Trust breaks when answers conflict
If the CFO, dashboard, spreadsheet, and AI agent all show different numbers, teams go back to manual reconciliation.
Definitions need to travel
Snowflake Semantic Views define trusted metrics in Snowflake. AtScale extends those metrics to Power BI and Excel through live connections.
The Joint Solution
Governed Snowflake metrics, live in the tools business users already use.
AtScale for Snowflake Semantic Views brings trusted Snowflake definitions to Power BI and Excel without extracts, mirrored data, or duplicated logic.
Selected by Snowflake. Trusted by enterprise data teams.
Snowflake chose AtScale to extend Semantic Views to Power BI and Excel, bringing governed Snowflake metrics into the Microsoft analytics tools business users rely on every day.
Snowflake Ventures
Harsha Kapre, Head of Snowflake Ventures
"As organizations continue to centralize data in Snowflake, partnering with AtScale helps our joint customers maintain consistent business logic and semantic definitions throughout their analytics and AI workflows, delivering performance and enhanced accuracy at scale."
The Home Depot
Sr. Director of Technology, Data & Analytics
"Natural language to our semantic layer is by far the most reliable and the best foundation for enterprise AI."
“Turn on AtScale for Snowflake Semantic Views so Excel and Power BI return the same number. Every time.”
