Updated August 21, 2025
Unlock Power BI Semantic Models: Open Source and Interoperable SemanticsEnterprises have spent years codifying trusted business logic in their Power BI semantic models, reports, and dashboards. These models represent thousands of hours of work from data teams and business analysts to define the KPIs, calculations, and relationships that guide…
Updated August 21, 2025
AtScale Launches Power BI, dbt, and Snowflake Semantic Converters, Freeing Semantics from Vendor Lock-InThe business intelligence landscape has a fundamental interoperability problem. Organizations using Power BI, Tableau, Looker, Microstrategy, and Cognos often struggle with semantic silos that block the adoption of AI-driven analytics, natural language query (NLQ), and BI investments. Today, we're launching…
Updated August 19, 2025
Ultimate Guide to Optimizing Power BI Query Performance in SnowflakePower BI and Snowflake are a powerhouse combo for modern business intelligence. But performance issues can creep in—especially with DirectQuery mode. If your dashboards are slow to load or your queries are hitting limits, you're not alone. This guide breaks…
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 August 7, 2025
The Missing Link: Using Semantic Layers to Enhance Cortex Analyst AccuracyNatural language querying (NLQ) is revolutionizing how organizations access data, with Snowflake Cortex Analyst leading the way. Business users can ask questions like “What were our top-selling products last quarter?” and receive SQL-generated answers instantly. But despite Cortex Analyst’s impressive…
Updated August 5, 2025
Addressing the Week 53 Retail Calendar Challenge: A Flexible, Tool-Agnostic Approach with AtScaleRetail organizations rely on specialized calendars, such as the "4-4-5" week and similar flavors, to capture the annual and weekly activity driven by holiday and day-of-week purchasing cycles. Organizing Quarters into standardized Months consisting of 4-4-5 weeks makes year-over-year and…
Updated July 25, 2025
SSAS vs. Snowflake: A Comparative Analysis for Modern Semantic ModelingAs organizations shift their analytics infrastructure to the cloud, many are evaluating whether to replace SQL Server Analysis Services (SSAS) with Snowflake. This analysis compares the two platforms through the lens of semantic modeling — highlighting the strengths and limitations…
Updated July 22, 2025
The Future Is Open: Why Open Semantics Matter More Than EverWhen we launched AtScale over a decade ago, the idea of a universal semantic layer was ahead of its time. Today, it’s no longer a vision, and it’s the foundation for modern analytics and enterprise AI. At the 2025 Semantic…
Updated July 16, 2025
The Future of Business Intelligence: Trends to Watch in 2025 and BeyondBusiness intelligence is evolving fast. In 2025, AI, machine learning, and real-time analytics will fundamentally reshape the way enterprises ask questions, deliver answers, and act on data. Dashboards are no longer just reporting tools; they’re interactive, intelligent systems. And business…
Updated July 14, 2025
Future-Proofing Enterprise AI: Why AtScale’s MCP Integration Is a Game-Changer for the Semantic LayerAt AtScale, we’ve always believed that the semantic layer is the cornerstone of enterprise data strategy. It brings consistency, governance, and business context to analytics. But as generative AI enters the enterprise at full speed, the stakes and the opportunities…
