Updated July 1, 2025
SSAS Cube Migration to Snowflake: Complete RoadmapMany organizations are moving away from legacy SQL Server Analysis Services (SSAS) toward modern, cloud-based platforms like Snowflake. But there's a catch: SSAS isn’t just a storage engine — it’s a powerful semantic layer. Without a plan to replace that…
Updated June 26, 2025
Why Enterprise AI Agents Need a Semantic Layer: A Reflection on Where the Industry Is Headed and How AtScale Has Been Leading All AlongIf it feels like everyone is suddenly talking about agentic AI, you're not wrong. In just the past few months, some of the biggest names in data have signaled a shift in how we think about analytics, automation, and intelligence:…
Updated June 24, 2025
AI Strategy Starts with the “Why”: A Business Leader’s Guide to Scalable, Trustworthy AIGenerative AI (GenAI) is transforming how we do business. The possibilities are vast, from customer support automation to intelligent forecasting and predictive maintenance. But for every success story, there are dozens of stalled pilots and unrealized promises. What separates organizations…
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 June 17, 2025
Why Dashboards Alone Can’t Support Modern AnalyticsThe “death of the dashboard” may sound like an overstatement, but it reflects a real shift in enterprise analytics. Static dashboards are no longer enough to meet the needs of modern data consumers. In Eric Porres’ recent article, The Death…
Updated June 12, 2025
What I Learned at Snowflake Summit 2025: AI Momentum, Cortex Insights, and the Truth About Semantic ViewsI’ve been attending Snowflake Summits for years, and this year’s event was the most forward-looking I’ve seen. If you’re building for the future of data and AI, the 2025 Snowflake Summit felt like a line in the sand. AI is…
Updated June 10, 2025
Why Every Data-Driven Organization Needs a Semantic Layer StrategyThe modern enterprise is navigating two seismic shifts at once: the rise of generative AI (GenAI) and the demand for truly governed, real-time analytics. At the center of both transformations is a concept that, until recently, was overlooked by many:…
Updated June 5, 2025
Implementing a Centralized Semantic Layer for Power BI and Tableau in SnowflakeOrganizations today rely on both Power BI and Tableau to unlock insights from their Snowflake data. But without a centralized approach, things get messy—definitions drift, performance suffers, and costs climb. Despite significant investments in cloud data platforms, data teams still…
Updated June 3, 2025
AtScale 2025 Product Announcements: A Smarter, Faster, More Open Semantic LayerThe 2025 Semantic Layer Summit was more than a virtual event—it was a product showcase for the future of semantic modeling. AtScale unveiled its most significant updates yet, delivering innovations that make the semantic layer smarter, more interoperable, and GenAI-ready.…
Updated May 28, 2025
The 2025 Semantic Layer Summit: Why the Future of Analytics Starts with SemanticsEvery year, the Semantic Layer Summit gets a little bigger, bolder, and much more urgent. And 2025 was no exception. As enterprises push the limits of AI, demand trustworthy analytics, and struggle with ballooning data complexity, the industry is waking…
