Resources

E-commerce teams shouldn’t need a 60-slide deck every time revenue drops or CAC rises. This post shows how to turn your best “revenue deep dive” into a reusable, agent-executed workflow in Tellius. Learn how Kaiya Agent Mode uses your semantic layer to analyze product mix, segments, and funnels, explain what actually drove revenue changes, and model what-if scenarios like 10% price increases in top categories in just a few minutes.

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.

AI agents and workflow automation are often treated as competing approaches, but the real power emerges when they work together. As agents evolve from simple chatbots to autonomous decision-makers and automation platforms become more intelligent and flexible, organizations can combine both to achieve higher reliability, faster execution, and deeper insights. This post breaks down the agent and automation spectrums, explains why Mode 1 (Execute) and Mode 2 (Explore) are both essential, and shows how their convergence enables smarter, safer, and more scalable AI-driven operations.

In today’s data-rich world, asking questions is no longer enough—what matters most is taking action. This blog introduces Tellius Agent Mode, a transformative leap into agentic analytics where AI agents don’t just answer queries—they plan, analyze, explain, and act. You’ll learn how Tellius marries a semantic layer, multi-agent orchestration, and business context to create an analytics ecosystem that moves beyond dashboards. With Agent Mode, you can automate multi-step workflows like root-cause detection, forecasting, and scenario planning—all through conversational goals. The result? Analysts elevate their focus to strategy while operational teams get trusted insights when they need them. Whether you're scaling analytics across sales, finance, or supply chain, this blog shows why Agent Mode is the architecture ready for enterprise intelligence at the speed of decision.

The PMSA 2025 Fall Symposium in Boston highlighted pharma’s decisive move from AI experimentation to practical implementation. Leaders discussed agentic AI architectures, the critical role of semantic layers, and unlocking unstructured data for real business impact. The event underscored a new phase focused on data foundations, agility, and human–AI collaboration to scale innovation effectively.

This guide lays out a complete picture of where augmented analytics is headed in 2025. It goes beyond buzzwords to explain how AI agents, conversational interfaces, generative insights, and governed semantic layers combine to deliver more than just “what happened”—they show why things change and what to do next. Expect deep dives into agentic workflows, scalability, governance challenges, and real use cases across industries. Whether you’re redesigning your data stack or evaluating new analytics tools, this is your roadmap to making augmented analytics work in practice.

Dive into how organizations can safely scale multi-agent analytics without losing control or accuracy. This post outlines five essential frameworks that ensure strong governance—from semantic layers that enforce consistent metric definitions, to auditing structures that verify agent decisions, and policy controls that manage permissions and risk. Learn how these frameworks help balance autonomy & trust, reduce ambiguity, and make data analysis reliable and repeatable in enterprise contexts.

This blog dives into the practical challenges (“battle scars”) encountered while moving agentic AI analytics from demo to production. Covering real-world engineering and product lessons, it highlights pitfalls like ambiguous language, mismatched definitions, performance tail‑latency, lack of observability, and unreliable multi‑step logic. For each scar, it provides strategies—governed semantics, demander/validator separation, deterministic planning, explicit feedback loops, and transparency—that help build robust, trustworthy analytics agents at enterprise scale. If you’re rolling out AI analytics agents, these lessons can help you avoid common traps and ship with confidence.

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.

In the age of agentic AI, analytics is no longer about isolated metrics—it’s about meaningful context. This blog explores how semantic layers act as the vital bridge between raw data and business insights, empowering AI agents to deliver accurate, traceable, and intelligent outcomes. See how well-defined business logic, trusted definitions, and knowledge graphs form the foundation for autonomous, explainable, and decision-ready AI. Discover why in a world of intelligent agents, metrics alone fall short—and why semantic evolution matters now more than ever.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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

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

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

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

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

Discover how Tellius' AI-powered Kaiya Search transforms complex data into actionable insights, outshining generic LLMs with advanced natural language understanding and real-time analytics.

Why are more organizations turning toward self-service analytics? Businesses thrive when everyone—not just the data experts—has access to the tools and information they need to make quick, insightful decisions driven by data.

Conversational FP&A AI analytics promises to transform raw data into powerful financial insights and narratives that move the business forward, powered by generative AI.

With Snowflake’s powerful AI Data Cloud as the foundation, Tellius adds the magic of conversational AI, automated insights, live Vizpads, and predictive analytics.

Is a semantic layer necessary to build AI agents? What’s the connection between a semantic layer and LLM-powered agents? Let's dive in.

Introducing Tellius Kaiya: A suite of GenAI-powered tools designed to democratize data-driven decision-making for the entire organization.

Learn how PepsiCo is using Tellius to streamline data integration and report generation through interactive dashboards and reports, unlimited drilling and sharing, and natural language ease and self-service analytics.

Learn how eBay is supercharging its decision-making process with powerful self-service analytics and data exploration from Tellius.

The IT ops team at a major CPG company is using Tellius' decision intelligence platform to proactively identify risks before incidents occur.

For the second consecutive year, Gartner has recognized Tellius as a Visionary in the Gartner® Magic Quadrant™ for Analytics & Business Intelligence Platforms.

Through the partnership with Looker, the Tellius platform can natively connect to Looker, allowing customers to discover insights at scale and explore their data with natural language based on Looker’s unified metrics.

Today Tellius unveiled search-powered, intelligent data discovery at Strata+Hadoop World in San Jose, California. After connecting to popular data sources...

Learn how Novo Nordisk’s commercial analytics team is leveraging Tellius' AI analytics solution to drive data-driven answers and insights.

Remember when Google revolutionized how we navigate the internet, shifting us from endless scrolling to quick searching? Today, AI models like ChatGPT are taking it a step further, turning our interactions into dynamic conversations rather than one-way commands.

The goal of the interactive product roadmap is simple: to tailor Tellius according to users’ needs. It's a platform where users have a direct hand in shaping Tellius' future.

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,

Madhukara Phatak, Tellius Director of Engineering, breaks down the challenges of traditional multi-data source analytics and how we overcome these challenges with Apache Spark.

Healthcare organizations adopting a data-driven culture are set to derive major benefits in terms of improving care to patients and...

The 2024 Gartner Data & Analytics Summit was a jam-packed three days of sessions and networking opportunities for data & analytics leaders. Here's what Tellius took away from the event.

Explore how AI analytics and data-driven insights transform decision-making strategies—even in fantasy football. Learn how predictive analytics, real-time insights, and intelligent automation deliver a competitive advantage.

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

Implementing AI-driven analytics is a catalyst for transformative change in the pharmaceutical and life sciences world.

In this latest Tellius product release, we're ensuring you get real-time insights from live, dynamic data. Read to find out more about 4.2.

What better place to explore hot takes on AI than the 2023 Gartner Data & Analytics Summit? Here's what we heard.

The path from data to insights has never been easier with the Delta Lake connection with Tellius.

Data-driven decision-making is vital to CPG companies as consumer preferences and buying patterns change. Learn how self-service analytics can help.

Tellius is once again proud to be named as a representative vendor in Gartner's Market Guide for Augmented Analytics Tools report, as the value of next generation business intelligence becomes realized.

Having a competitive advantage begins with cultural innovation. But how do we get the edge without undergoing a complete digital transformation of our businesses? Learn how organizations are Spearheading Data Driven Culture with Intelligent Augmentation during this year's CDAO Fall 2021 Virtual Summit.

It is with excitement that Tellius announces the upcoming availability of Java User Defined Function (UDF) support for Snowflake. This new integration is a result of the continued partnership between Tellius and Snowflake that was first announced in 2019.

In this piece, Chris Reuter explores Natural Language Technology from the consumer world, evaluates why Natural Language Search for Analytics has not seen the same adoption as the consumer world, and makes predictions for how the industry will drive adoption.

Learn why modern business and analytics teams need a new stack to realize the full potential of their data with AI-driven augmented analytics.

Learn what makes Tellius decision intelligence and Snowflake cloud data platform a great combination for mobilizing smart insights across your organization.

Convergence of essential technologies with an amazing user experience made iPhones ubiquitous - how will these lessons transform data analytics?

Explore how experiences we know and love from search and natural language interfaces make business analytics easier and more accessible for everyone in the data-driven enterprise.

Every year industry analysts proclaim that the coming year as the year of predictive analytics. Here's how to make it a reality for your organization.

For many years, professional sports globally have mostly evaluated players and performance via simple ‘clipboard’ statistics and ‘human’ scouting. As...

Data analytics isn’t anything new; in fact, businesses the world over have been looking to their information assets for new...

Let's dig into what makes Tellius’ automated insights industry-leading, and provide an understanding of how automated insights can help your organization make better decisions.

Let's explore benefits of HR analytics, the challenges of traditional approaches, and how AI and augmented analytics are revolutionizing every part of people management— planning, recruiting, onboarding, management, upskilling, and beyond.

Supply chain leaders face rising complexity, unexpected disruptions, and growing pressure to optimize operations. In this post, we explore how AI-powered predictive analytics unlocks faster demand forecasts, anomaly detection, and proactive decisions across the value chain. Learn how modern analytics platforms like Tellius help teams go from reactive to resilient.

There’s a growing need for CPG companies to pull together all relevant information faster decision-making. Here’s how AI-powered analytics is helping.

Tellius has always prioritized data protection and privacy, and achieving SOC 2 Type II certification demonstrates its continued commitment to meeting and exceeding industry-best practices.

This year’s Gartner Data & Analytics Summit in Orlando was a jam-packed three days of 220+ sessions, keynotes, and networking opportunities attended by over 4,000 data and analytics leaders and industry experts.

Tellius, the AI-driven decision intelligence platform, has been recognized as a Visionary again by Gartner in the Magic Quadrant™ for Analytics & Business Intelligence Platforms.

Learn how ChatGPT and the foundational technology it is built upon will have a transformative impact on data & analytics.

Tellius has announced Copilot, a new set of GPT-integrated product enhancements that leverage OpenAI’s large language models.

Gartner BI Bake-Offs offer prospective buyers side-by-side comparisons of analytics vendors based on scripted demos and a common data set in a controlled setting. This year’s dataset was from the United Nation’s (UN) Sustainability Development Goals (SDG). Check out Tellius approach to analyzing UN SDG #8 (Decent Work & Economic Growth) in video and write-up form!

We just raised our $16M Series B funding round at Tellius ($33M to date) and couldn't be more excited! Read how we got here and what's next.

Tech Breakthrough announced that Tellius is a winner in the '22 AI Breakthrough Awards program for the “Best Decision Intelligence Solution” award.

With analytics/BI and data science/ML tools separate from each other, traditional approaches using disparate tools slows down data-backed decision-making. But analytics is a team sport, requiring analytics consumers and creators to collaborate.

Tellius has announced a partnership with Indegene, a technology-led healthcare solutions provider. The partnership will leverage Indegene’s deep domain knowledge in life sciences and expertise in advanced data and analytics, empowering companies with data at scale and AI-driven analytics that enable faster and better business decisions.

We are excited to announce the launch of our new Live Insights capability. Live Insights are fast, automated insights run inside cloud data warehouses that greatly expedite the discovery of trend drivers, cohorts, and anomalies from terabytes of unaggregated data.

IDC’s Senior Research Analyst, Raymond Huo, compiled a list of innovators in the Business Intelligence and Decisioning Software spaces. These companies were listed as emerging vendors with an innovative new technology or a groundbreaking business model. Among these companies was Tellius!

Read how guided data insights helps a Top 10 financial services firm save 1000s of hours in productivity and more than $700k in mitigated credit losses per month.

Read how one company identified at-risk customers and reduced churn with the help of automated intelligence and embedded machine learning.

Most companies have much more data than they analyze. Here are 3 ways to discover better analytical insights to make better business decisions.

Here are the five obvious and not-so-obvious ways that your BI solution is holding your company back. Who wants to settle for "business as usual?"

Few sectors experience change as relentlessly as the retail industry, and with customer demands in constant flux, keeping up with...

Doctors are pretty smart people, and it’s not a lack of want that historically denied them better insights to their...