Updated June 18, 2026
AtScale’s CPO Luis Maldonado on What It Actually Takes to Make AI TrustworthyAt Snowflake Summit last week, AtScale Chief Product Officer Luis Maldonado sat down with Ravit on The Ravit Show to talk about the announcement everyone at the conference was asking about, and the deeper problem it's designed to solve. The…
Updated June 17, 2026
It’s Got to Be the Semantic Layer, BabyAtScale's Dave Mariani and Snowflake's Carl Perry on why governed semantics, not a smarter LLM, is what makes AI agents trustworthy. For years, business intelligence ran on a human workaround. When two reports disagreed about "revenue," a trained BI analyst…
Updated June 4, 2026
AtScale for Snowflake Semantic Views: Governed Metrics, Everywhere Your Business RunsExecutive Summary Snowflake Semantic Views centralize governed metric definitions inside Snowflake, but Microsoft tools like Power BI and Excel do not natively consume those definitions. AtScale for Snowflake Semantic Views XMLA Endpoint extends governed Snowflake metrics to Power BI and…
Updated June 4, 2026
Snowflake Summit 2026: Governed Semantic Views for CoCo, CoWork, Power BI, and ExcelHow Snowflake Semantic Views reach CoCo, CoWork, Power BI, and Excel without leaving the platform Executive Summary At Snowflake Summit 2026, Snowflake and AtScale introduced a new way to extend governed Snowflake Semantic Views to CoCo, CoWork, Power BI, and…
Updated June 2, 2026
Snowflake Partnered with AtScale for a Reason: Your Semantic Layer Is Too Important to SurrenderSnowflake has embedded AtScale as the only semantic layer in its platform, extending Semantic Views to Power BI and Excel, so they get the same accurate metrics your AI gets. Snowflake, whose thousands of customers include Capital One, Toyota, and…
Updated August 12, 2025
The Definitive Guide to Making Snowflake Data Available in ExcelExcel continues to be the world’s most used analytics tool, with more than 750 million users globally. On the other hand, Snowflake has become a leading cloud data platform for enterprise-scale data management. Bridging these two platforms — while preserving…
Updated June 19, 2025
How to Stop Metric Sprawl Across Power BI, Tableau, and Excel with SnowflakeIn a multi-tool analytics world, one of the most persistent challenges facing data-driven organizations is metric sprawl. When business teams use different BI tools each with their own logic and metrics, the result is conflicting numbers, duplicated effort, and a…
Updated April 15, 2025
Connect Excel to Snowflake Without ODBC: Smarter Alternatives for Business UsersExcel remains a go-to tool for business users who want quick, flexible access to data. But when it comes to connecting Excel to Snowflake, the traditional route — via ODBC — can be a technical nightmare. Driver installs, authentication headaches,…
Updated March 13, 2025
Excel + Snowflake: How AtScale Helps Bridge the Gap Between Data Warehouse and Spreadsheet AnalysisDespite heavy investments in Snowflake's modern data platform, many business users still default to Excel for day-to-day analysis. The result? Stale extracts, inconsistent KPIs, and a frustrating disconnect between centralized data and the tools people actually use. The AtScale semantic…
Updated February 13, 2025
Simplifying Snowflake Access for Excel Users: Implementation StrategiesDespite heavy investment in Snowflake’s modern data platform, many organizations still struggle to give Excel users smooth, efficient access to that data. The result? Data extracts, stale numbers, and inconsistent reporting across the enterprise. This guide outlines innovative implementation strategies…
