Why self-service analytics isn’t delivering, and how AI is changing the game
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Hey there,

 

Self-service analytics was supposed to make data-driven decisions easy. Instead, it’s become a frustrating maze of dashboards. filters, and workarounds: 

 

🚨 "This dashboard doesn’t have the filter I need."
🚨 "I need to compare two time periods, but I can’t get the right breakdown."
🚨 "I have a follow-up question, but now I need to submit a dev request."

 

Agentic AI changes that. It analyzes, interprets, and takes action — so you’re not stuck waiting on data teams, you’re getting things done. 

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Let me tell you how…

 

Tracey Doyle

Chief Marketing Officer

Analytics8

 3 Ways Agentic AI Will Reshape Your Daily Work 

1. No More 'Filter & Refresh' — AI Finds What Matters 

 

The problem: You know what’s happening, but you don’t know why. Traditional dashboards are rigid — they only answer the exact questions they were built for. Anything beyond that? You’re clicking through filters, exporting data, or waiting on a data team to tweak the report.

 

With Agentic AI: You ask higher level questions, and AI analyzes patterns, finds anomalies, and explains what changed — without waiting for a new dashboard — to provide more strategic answers to business questions.


✅ Instead of asking, “What were sales last quarter?” ask: “What’s driving the change in sales compared to last quarter?”


✅ Instead of asking, “How many leads did we generate?” ask: “Which marketing channels should we double down on to reach our targets?”


✅ AI analyzes patterns, finds anomalies, and explains what changed — without waiting for a new dashboard.

2. From Numbers to Decisions — AI Connects the Dots 

 

The problem: Even if a dashboard gives you a useful number, it’s still up to you to interpret the insight. Is this a temporary blip? A trend? A sign of a deeper issue?

 

With agentic AI: Instead of exporting raw numbers and doing analysis in Excel, AI thinks like an analyst and presents decision-ready insights.

 

✅ Instead of reviewing customer churn percentages — investigate signals of why churn is happening.

✅ It recommends actions based on past trends — so you’re not just looking at historical performance void of context but preparing for what actions to take next.

 

The bottom line: You don’t just get data. You get confidence in insights to make your next move.

3. Self-Service That Actually Works — No Data Expertise Required 

 

The problem: Self-service BI promised easy access to insights, but in reality? Most business users either don’t trust the tool, struggle to navigate it, or still rely on data teams.

 

With agentic AI:


✅ You don’t have to structure perfect queries — AI understands the language of your business to determine how best to answer business user questions.


✅ You don’t need to know where a metric lives in a database or a myriad of dashboards to answer a question — AI pulls from the right place for you.


✅ If the answer isn’t quite right, you clarify it in conversation — not through a ticket request to a data team.

 

This isn’t just a fancy new BI tool. It’s a whole new way to interact with data — without needing a specialized technical skill set.

See Agentic AI in Action — Live Demo & Discussion 🎙️

How Zenlytic and Agentic AI is the Future of Self-Service Analytics-1

 Join us for a live discussion and demo of Zenlytic and Agentic AI, where we’ll explore a smarter, more intuitive way to engage with data — and show you how AI can act as your personal data analyst. 

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