Data topics

As AI agents take over routine data tasks, the traditional analyst role isn’t disappearing—it’s evolving. In the “agentic era,” analysts transition from data cleaners and report builders into orchestrators who guide AI workflows, interpret results, and embed insights into business decisions. This blog explains the mechanics of agentic analytics, explores how AI handles repetitive work, and defines the new skills needed—like prompt engineering, bias review, and ethical oversight—to thrive alongside autonomous systems.

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.

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.

AI agents are not a “nice-to-have”; they’re a must-have if you want to break free from analysis paralysis, truly democratize data-driven decision-making, and scale your analytics across hundreds (or thousands) of business users. The real promise of data democratization is not just in enabling more people to ask questions, but in enabling those questions to be answered comprehensively and autonomously.

The path from dashboard sprawl to true self-service isn't just about better technology—it's about unlocking your team's ability to act on insights in real-time. While traditional BI tools force pharma teams into endless workarounds, AI-powered platforms like Tellius are purpose-built for the complexity, compliance requirements, and speed demands of commercial pharma.

Traditional self-service BI tools promised independence but often left users dependent on analysts and stuck with complex interfaces. AI agents are now transforming the analytics landscape by managing complexity, automating workflows, and reasoning behind the scenes. Paired with a semantic knowledge layer, these agents deliver accurate, business-aware insights. With Tellius, users don’t need to learn analytics—they just ask questions and get answers. True self-service has finally arrived.

The next era of analytics is goal-driven, adaptive, and intelligent. Tellius brings this to life by combining deep analytics with conversational intelligence, multi-agent reasoning, and business-aware feedback loops. It’s not about replacing analysts—it’s about scaling intelligence across your business with a system that gets smarter every day.

Here are the key forms of diagnostic analytics, the limitations of traditional manual approaches, and the benefits of AI-powered diagnostic analytics.