"Insanity is doing the same thing over and over again and expecting different results." – Albert Einstein
The business intelligence (BI) world has been stuck in a loop for nearly two decades. We’ve had some serious advancements, sure — Qlik came to the US and shook things up with in-memory analytics. Tableau followed suit, revolutionizing data visualization and making it accessible to everyone. Then Microsoft Power BI brought BI to the masses with its tight integration into the Microsoft ecosystem. Along the way, we’ve had other innovations, like Looker’s semantic layer for more dynamic data exploration.
But here’s the thing: None of these changes were truly step changes. They were iterations. And while they certainly made BI more accessible, they didn’t fundamentally alter how businesses use data to make decisions.
The result? A world full of dashboards, data analysts, and BI teams trying to wrangle data into answers — all while users are still left asking, "Why can’t this be easier?"
It’s time to admit it: We’ve been in an Einstein Loop.
Why We Can't Keep Going in Circles
In the age of artificial intelligence, we simply can't afford incremental change anymore. The truth is, we’ve reached a point where the pace of technological advancement, particularly with AI, offers us a real opportunity to break the loop and achieve quantum leaps in how we handle data and make decisions.
We see the market getting copilot fatigue. Everywhere you look, there’s a new "AI-powered copilot" claiming to change the game, but most of them are still just a more polished version of what we already had. They aren’t truly transformative. They don’t move us forward, they just help us cope with the limitations of outdated tools.
Take AI-focused chat as an example: It’s a step change in the way we approach BI. Instead of relying on dashboards and data manipulation, we now have AI that can answer strategic questions in real-time, directly through natural language.
That’s the kind of leap we need, not another incremental improvement.
The Real Problem: The Users Who Don't Want to Drag and Drop
Here’s the real kicker: 60% of employees in most companies DO NOT want to learn how to drag and drop in a BI tool.
They need insights, and they need them fast. But they don’t have time or interest in learning how the UX of another BI tool. The problem is, when they don’t get what they need, they complain or just keep asking the data team — dashboards aren’t delivered fast enough, or they don’t answer the strategic questions they have.
This constant churn is exhausting. But AI native analytics platforms like Zenlytic offer a new, more accessible approach that can finally address this gap. No more waiting for analysts to pull reports. No more trying to figure out the right filters and parameters to view the data you need.
This is an answer to the problem of delivering insights to the business without the baggage and steep learning curve of yesterday’s tools.
The Time for Incremental Change Is Over - Intelligent Analytics is here
We’ve seen that with AI and BI, the true value lies in breaking away from the same old processes. Instead of clinging to legacy methods, it’s time to embrace AI’s potential to radically change how we interact with data.
At Zenlytic, we’re not interested in making minor tweaks — we’re here to disrupt the cycle. We built the intelligent analytics platform that makes it simple for users to access insights in a natural, intuitive way, without the burden of learning complex tools. Anyone can just ask.
Let’s put intelligence back in business intelligence that actually works for business users. Let’s give them intelligent analytics.
It's time to leave the Einstein Loop behind and step into the future.Let the madness stop.
