Data topics

Many AI-analytics demos promise magic: impressive visuals, slick dashboards, and smooth interactions. But in real business settings, those polished demos often break down. This post pulls back the curtain and explains what it really takes to make AI analytics work at enterprise scale. You'll learn about: Building agentic architecture that supports complex queries and multi-step insights Ensuring reliability with intent parsing, root cause detection, and strong validation layers Managing data quality, security, and governance so insights can be trusted Scaling models, visualizations, and workflows to support thousands of users and billions of rows of data If you're evaluating AI analytics tools or planning your own build, this is your guide to separating real capabilities from toy demos and focusing on what drives measurable performance.

When pharma brands strike major deals, they don’t just gain access—they inherit complex tradeoffs. From navigating volume vs. margin to managing payer fatigue, these tradeoffs shape strategy long after contracts are signed. This blog breaks down five recurring tensions in market access and shows how AI-powered analytics helps commercial and HEOR teams model scenarios, simulate outcomes, and move from rigid strategy to adaptive execution.

With the FDA’s landmark approval of CAR-T therapies like Abecma and Carvykti as earlier-line treatments, the commercial landscape is shifting rapidly. This blog explores the next phase of CAR-T market access and the analytics brand teams need to navigate it. Learn how to forecast pull-through, identify high-opportunity accounts, and guide sales execution using real-world data, segmentation strategies, and AI-powered insights. From payer dynamics to provider referral patterns, find out what it takes to win in a competitive, high-cost therapeutic space.

The 2025 Gartner Magic Quadrant is out—but the real story goes beyond the dots. Discover what it reveals (and misses) about the future of AI analytics and why Tellius is built for what’s next: agentic intelligence, faster answers, and smarter decisions.

Tellius has been named a Visionary for the 4th year in a row in the 2025 Gartner® Magic Quadrant™ for Analytics & BI Platforms. Why? Because we’re not just stopping at dashboards. We’re moving the industry forward with: - GenAI-powered conversational analytics - Agentic flows that connect insight to action - An end-to-end platform built for enterprise-grade governance The future of business intelligence isn’t just pretty charts. It’s intelligent decisions—made faster.

Business teams don't suffer from a lack of data. They suffer from a lack of time, clarity, and execution. Dashboards indicate what happened. Some tools even explain why. But few platforms help you decide what to do and then do it faster than your competition. That's the promise of augmented analytics. With agentic flows, natural language interfaces, and AI-driven automation integrated at every stage, that promise is now a reality.

Tellius AI Agents and AgentComposer transform business analytics by automating complex multi-step analysis through specialized autonomous agents. Unlike generic chatbots or RPA tools, these agents leverage your enterprise data and business context to deliver deep insights across sales, marketing, finance, and manufacturing—turning questions into actions in minutes instead of days. With no-code agentic workflows, organizations can achieve 100X productivity gains and continuous, data-driven decision making.

Although the journey to investing in an AI-powered analytics platform might seem daunting, it's a critical step in unlocking the full potential of your data. The right platform isn't just an investment in technology—it's an investment in the future success of your business.

AI analytics can help significantly improve inventory management analytics by introducing advanced capabilities to enhance accuracy, adaptability, and efficiency.

Here's how analytics and business leaders can gain a better picture of AI’s strengths and weaknesses when it comes to analytics uses.

This 2025 guide to AI analytics covers definition, architecture, and examples—plus how agentic AI with a semantic layer and orchestrated AI agents turns insights into approved action, reducing time-to-action and delivering measurable impact.

We’re thrilled to announce Tellius has been named a Visionary in the 2022 Gartner® Magic QuadrantTM for Analytics & Business Intelligence Platforms — a rigorous independent evaluation of 20 analytics software vendors based on their Ability to Execute and Completeness of Vision,

Data-driven organizations should not be content with the same old approaches to data consumption. In the modern data stack, each layer plays a key role in your organization’s goals to get better insights from vast amounts of data and to proactively uncover new opportunities for growth.