Resources

AI Analytics: What It Is, How It Works, and Why It Matters

AI Analytics is more than a buzzword — it’s the foundation of the next generation of enterprise decision-making. This 2025 guide explains what AI analytics is, how it works, and why it matters. You’ll learn how organizations are applying it across use cases, the strategies shaping adoption, and how agentic platforms like Tellius move beyond dashboards to deliver real outcomes: faster insights, confident decisions, and measurable business impact.

Why Your Revenue Never Adds Up—And How Smart Semantic Stacks Will Fix It

Inconsistent revenue numbers can frustrate finance teams and erode trust in business metrics. This blog reveals how vague definitions, fragmented dashboards, and mismatched data logic create a misaligned financial picture. It then explains how implementing a smart semantic stack—with standardized metrics**, semantic layers**, and consistent governance—clarifies the confusion. These foundational improvements enable analysts and decision-makers to compare apples to apples, derive trusted insights, and drive faster, more accurate decision-making across the organization.

Guided Insights, Evolved: How AI Agents Are Transforming the Way We Understand Data

For years, analytics tools promised guided insights—but often delivered static dashboards, confusing filters, and a steep learning curve. This blog explores how modern AI agents are changing the game. Unlike their predecessors, these intelligent systems understand user intent, dynamically investigate data, and return clear, actionable results conversationally. They uncover deeper “why” analysis, adapt to context, integrate seamlessly into workflows, and make insights accessible to business users without technical expertise. Discover how Tellius is ushering in a new era of empowered decision-making: fast, trusted, and built for the way we think.

Will AI Replace Analysts? The Evolving Nature of the Role in the Agentic Era

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.

Agentic Analytics Explained: From Questions to Autonomous Action

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.

What it Takes to Build An Enterprise - Grade Agentic Analytics Platform

Dive into the essential ingredients for building a genuinely enterprise-ready agentic analytics platform. You’ll learn why AI agents alone aren’t enough—why convergence with a robust semantic layer, rigorous governance, scalable compute, and clear explainability matters. Explore how Tellius’s architecture weaves together conversational AI, domain-aware knowledge models, multi-agent orchestration, and trust-first design to enable autonomous analytics workflows that deliver accurate insights and measurable business outcomes at scale.

Lessons from Pharma’s Biggest Deals: 5 Market Access Tradeoffs AI Analytics Can Help Model & Improve

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.

Pharma commercial field sales at Telliuspeed: Why your target lists might be misleading your reps

Too often, commercial pharma reps are working from outdated, imprecise target lists—wasting time on the wrong doctors while missing key growth opportunities. This blog explores how Tellius transforms field sales by turning fragmented data into real-time, physician-level insights. Learn how natural language querying, AI-powered drop lists, and dynamic segmentation help teams respond faster, optimize territory planning, and drive impact at the moment of decision—not just at the end of the quarter.

The Guardrails Are Off. What’s Next for CAR-T Access?

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.

What the FDA's New Priority Voucher Program Means for Commercial Pharma Teams

Faster drug approvals are coming. Here's how field sales, market access, and brand teams must adapt—and why AI analytics is no longer optional.

Reading Between the Dots: What the 2025 Magic Quadrant Really Tells You About AI Analytics

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: 4X Visionary Analytics Platform!

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.

The Future of Conversational AI Isn’t Chat—It’s Outcomes

LLMs made it easier to talk to machines. But the next wave of value will come from machines that think with us, not just talk to us. That’s the future of Conversational AI—systems that deliver answers, actions, and impact. And it’s already here with platforms like Tellius. If you're done with dashboards that require you to swim through lots of graphics for answer, and copilots that need hand-holding, it’s time to meet your first agent.

Why Your Self-Service Analytics Strategy Will Fail Without AI Agents

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.

Why Self-Service Analytics in Pharma Has Failed—And What It Takes to Fix It

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.

Why Agentic Intelligence Is the Future of AI Analytics in 2025 and Beyond

AI analytics has evolved from dashboards and copilot tools to agentic intelligence Business users now get autonomous recommendations, not just answers Platforms like Tellius combine conversational AI, agent orchestration, and memory The result: faster insights, better decisions, and less dependency on data teams. In 2025, AI analytics isn’t a feature. It’s a fundamental shift in how decisions get made.

How AI Agents Are Finally Delivering on the Promise of Self-Service Analytics

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.

AI for Analytics: How Augmented Analytics is Transforming BI

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.

Introducing Tellius AI Agents

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.

AI Agents: Transforming Data Analytics Through Agentic AI

AI agents aren’t just hype—they’re the engine behind the next generation of self-service analytics. This post breaks down how agentic AI enables multi-step, contextual analysis workflows that automate the grunt work of business intelligence. Learn what makes agentic systems different, what to look for in a true AI-native platform, and how Tellius is pioneering this transformation.

6 Gator-Sized Takeaways from the Gartner Data & Analytics Summit 2025

TLDR: agents on the rise, conversational everything, governance & data quality = king, driving/demonstrating ROI, the power of people never gets old.

RevOps Intelligence Redefined: AI-Powered Agents Meet Unified Knowledge Layer

Learn how AI-powered variance analysis is transforming how organizations uncover and act upon financial insights.

How AI is Changing Marketing Analytics Today

Learn more about data analytics challenges faced by marketing teams and how AI is transforming how data insights are used for better decision-making.

What’s New with Kaiya in Tellius 5.3: Eliminating Guesswork, Crushing Complexity, and Compounding Knowledge

Learn how the new Kaiya features in Tellius 5.3 transform the way teams interact with their data, saving time and driving better outcomes.

How AI Variance Analysis Transforms FP&A

Learn how AI-powered variance analysis is transforming how organizations uncover and act upon financial insights.