Blog

Intelligent analytics is a radical leap beyond legacy BI. Instead of isolated queries and rigid dashboards, modern analytics platforms deliver trusted, deep insights via natural language, unified datasets, and AI-driven context. Zenlytic’s platform blends trust, depth, and the concept of an AI data coworker, enabling business users (not just analysts) to ask “why” and “what if” across campaigns, data sets, and business scenarios. With intelligent analytics, you don’t just see what happened you understand what’s actually going on and what to do next.

In many organizations, teams are drowning in dashboards but starving for insights. Static reporting tells you what happened, while modern analytics reveals why it happened and guides what to do next. At Zenlytic, we believe the right approach turns data into a strategic asset.

Conversational AI is transforming the future of data analytics and business intelligence by replacing dashboards with dialogue. Instead of waiting on data teams, users can now ask questions in plain English and receive instant, accurate insights - thanks to AI tools for data analysis, predictive analytics, and no-code self-service BI platforms. This post explores how AI-powered self-service analytics democratizes data access, compares self-service BI vs traditional BI, and highlights the most effective use of AI in enterprise analytics. Learn how generative AI and AI agents for data analysis make analytics faster, more innovative, and accessible to everyone — even non-technical users.

Zenlytic is your trusted AI data coworker, delivering transparent, explainable analytics with real depth. Built for trust, governance, and clarity, Zenlytic turns AI into a reliable partner for confident, data-driven decisions. Here are some frequently asked questions, with answers. Part 1.

Zenlytic’s Dynamic Fields Admin Panel, powered by the Clarity Engine, shows exactly what concepts users are asking Zoë about — and how often. When users request metrics or fields that don’t yet exist, those ideas are captured automatically, so data teams can review, refine, and promote the most valuable ones into the company’s standardized data model.

This post promotes Zenlytic, a transparent AI analytics platform that solves the common “black box” problem in generative AI. It emphasizes explainability, governance, and trust — showing how Zenlytic provides clear logic, traceable lineage, and warehouse-first accuracy while remaining easy for non-technical users.

Dashboards are outdated. The future of business intelligence is real-time conversations with data. Learn how Zenlytic’s AI data analyst replaces dashboards with strategy.

Semantic layers promise consistency but limit flexibility and trust. Zenlytic’s Clarity Engine takes a different approach, combining explainability and transparency so teams can explore data with confidence.

The biggest challenge in AI analytics isn’t SQL or charts—it’s trust. Zenlytic’s Zoë solves the black box problem with explainability and consistency, transforming AI from a novelty into a true data analyst teams can rely on.

Explainability is the foundation of trust in AI analytics. With Zenlytic’s Clarity Engine, Zoë combines flexibility with transparency, providing SQL-backed explainable metrics that teams can trust for real-world decisions.

What can CPU history teach us about AI? Just as multi-core processors revived computing after Dennard scaling, AI will evolve beyond today’s limits. Zenlytic delivers the reliability businesses need now, with Zoë, the AI data analyst who never lies

Consistency matters more than intelligence in data analytics. While LLMs often produce inconsistent answers, Zenlytic’s Clarity Engine with Memories ensures reliable, repeatable insights so businesses can trust their AI data analyst.

In today’s fast-paced, data-driven economy, the companies that win are those that make decisions quickly and confidently. But for many growing businesses, data chaos stands in the way. That was the reality for Branch Furniture, a rising star in the furniture industry, until they partnered with Zenlytic, the AI-powered business intelligence platform designed for the modern data stack.

LLMs are powerful for analytics, but their biggest flaw is inconsistency—teams often get different answers to the same question. Zoë solves this with Memories, which lets you lock in definitions and methodologies with a single click. From then on, every teammate gets the same, consistent answer every time. No more re-explaining or second-guessing—just clarity that compounds as Zoë learns and grows with your team.

Snowflake Summit 2025 took over the Moscone Center in San Francisco last week, and Zenlytic was right in the middle of all the action. Whether you met us on the expo floor or over a glass of sparkling champagne at Zoë Bar, one thing was clear: the AI analytics wave isn’t just coming... It’s here. And Zoë is the differentiator.

Zoë, our AI data coworker, can now use multiple AI models. Users can select the AI model suited to their query, Zoë ensures accuracy, speed, and relevance.

Despite billions invested in dashboards and "self-service" data tools, the painful truth remains, business people don't use BI.

Let’s put intelligence back in business intelligence that actually works for business users. Let’s give them intelligent analytics.

Zoë just leveled up. Discover how our AI data analyst now creates fully customized charts. From colors to chart types, based entirely on natural language prompts, providing smarter visuals and faster insights.

With intelligent workflows you can prompt and orchestrate workflows to accomplish simple, complex, and multi-step actions as your data coworker. Leveraging Zenlytic's complete intelligent analytics platform—with dashboards, reports, data explorer, and cognitive layer—analyzing data has never been more powerful.

By earning this designation, Zenlytic has proven that our Intelligent Analytics platform and Zoë, our AI data coworker, have met a core set of functional and interoperability requirements when integrating with BigQuery.

Missed the webinar? Here’s a quick recap of the key takeaways from our conversation with Data Science Connect (DSC)—and why intelligent analytics is the future of BI.

Why, why, why are we still waterfalling? Software engineers have moved on to agile development but data engineers haven't.

Data chat sharing makes it a lot easier for business and data people to collaborate and share insights.

We just launched a way to comprehensively review changes on one branch before deploying to another.

John Santaferraro, CEO and Head Research Analyst at Ferraro Consulting, published five best practices to maximize impact of AI for BI. He also provides the foundational AI enablers for Business Intelligence.

AI agents will play a vital role in software programming and cybersecurity, but they will also change enterprise workflows and business intelligence, experts say.

Learn how BI tools can help your retail company streamline operations, enhance customer experiences, and make smarter decisions with real-time insights.