Updated March 26, 2026
Power BI & Excel on Snowflake Without Data Movement | Semantic Layer for AIMost enterprises have already standardized where their data lives. What they haven’t standardized is how that data is interpreted. Power BI and Excel users still rely on a workaround: moving data out of Snowflake into extracts, cubes, or Microsoft Fabric…
Updated March 17, 2026
Why Moving Data for BI and AI Creates Architecture ProblemsIn modern data architectures, analytics tools often replicate data from the warehouse into secondary systems to improve performance. While this can speed up dashboards, it introduces new problems: duplicated datasets, inconsistent metrics, fragmented governance, and rising cloud costs. Modern analytics…
Updated March 16, 2026
Using AI Agents for Data Analysis: How Autonomous Agents Are Changing AnalyticsFor a long time, enterprise analytics centered around building dashboards, running scheduled reports, and relying on the right person to ask the right question at the right time. That model is changing. Autonomous AI agents can now look through data…
Updated January 13, 2026
The Rise of LLM Agents in Data AnalyticsThe analytics world is changing. We have moved from static reports to self-service dashboards to conversational business intelligence (BI). Now, we're in the early days of LLM agents that don’t just answer questions but take action. They write SQL. They…
