Book a demo

Blog

Topics
Topics
Platforms / Tools
Platforms / Tools
Industries
Industries
Content Type
Content Type
Clear all

/ 3 MIN READ

SSAS vs. Snowflake: A Comparative Analysis for Modern Semantic Modeling

As 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 —…

Posted By: Macaulay Parker

/ 6 MIN READ

The Future Is Open: Why Open Semantics Matter More Than Ever

When 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…

Posted By: Dave Mariani

/ 9 MIN READ

The Future of Business Intelligence: Trends to Watch in 2025 and Beyond

Business 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…

Posted By: Cort Johnson

/ 5 MIN READ

Unlocking Agile Analytics with Composable Semantic Models from AtScale

In today’s fast-paced world, companies must utilize data to make informed decisions. However, with so much data coming from various sources, company records, sales systems, cloud storage, and live data feeds, it’s challenging to maintain…

Posted By: Brendan Peterson

/ 3 MIN READ

SSAS Cube Migration to Snowflake: Complete Roadmap

Many 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…

Posted By: Macaulay Parker

/ 6 MIN READ

Why Dashboards Alone Can’t Support Modern Analytics

The “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…

Posted By: Dave Mariani