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SAS has introduced the SAS Viya MCP Server, a new layer designed to bridge large language models and enterprise analytics.

This article explains the problem it solves in modern LLM applications and the value it brings to governed, reliable AI-driven analytics workflows.

Most organizations have more data than ever before, yet turning that data into decisions remains a challenge. At the recent Brainbay's Inspiration Day hosted by Brainbay, we explored a challenge many organizations still face: Why do so many dashboards fail to drive real decisions? Despite increasing investments in analytics, insights often remain underused, not because the data is wrong, but because it’s not accessible in the right way. In our session, we showed how better visual design can already make a significant difference in guiding users toward key insights. But the real shift happens when combining dashboards with Large Language Models.

Notilyze Cloud announces support for PROC R on SAS Viya, available to customers running version 2026.03 or later. Following successful validation and testing, this capability is now ready for rollout. 

PROC R enables users to run R code directly within the SAS environment, providing a seamless way to integrate open-source analytics into existing SAS workflows without requiring additional licenses. 

Forecasting is often seen as a solved problem until it needs to work in production. Many organizations struggle to turn promising models into reliable, actionable tools due to challenges in data quality, model transparency, and scalability. At Notilyze, we help organizations bridge the gap between experimentation and production, turning forecasting into a robust, trusted decision-making capability.