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What is AI Analytics? A Complete Guide for 2026
Stop looking for an AI Analytics tool. Start looking for an analytics protocol. That advice sounds counterintuitive. Everyone’s searching for “the best AI analytics platform” ...
Supermetrics MCP vs. Databox MCP: Choosing Between Data Pipeline and Analytics Platform
If you’re evaluating MCP servers for your analytics stack, you’ve probably noticed that “MCP support” can mean very different things depending on the vendor. I’ve ...
How B2B Teams Are Cutting Paid Ad Waste (Without Losing Pipeline)
How can I make my paid ads profitable again? If your paid ads look fine in dashboards, but the pipeline isn’t growing, you’re not alone. ...
We Are Databox Playmakers
Culture is never something you fully design upfront. You can define values, write principles, and document behaviors, but real culture is shaped over time by ...
New: Connect Databox to Claude, ChatGPT, N8N, and more!
Most teams today are expected to move faster and be data-driven, but getting clear answers about performance is still harder than it should be. Even ...
How AI Agents Are Upgrading Your BI Team with Agentic Analytics
Your data team is drowning. They spend 80% of their time on repetitive reporting and only 20% on strategic analysis. You hired them to be ...
Conversational Analytics: How to Actually Talk to Your Data (And Why It Finally Works)
I spent years building dashboards that nobody used. Not because they were bad dashboards—they were actually pretty good. Clean visualizations, real-time data, all the metrics ...
What is Headless BI? A Guide for Leaders Who Need Answers, Not Just Dashboards
You have more data than ever, but getting a simple answer feels impossible. Your data lives in dashboards you can’t question and reports that are ...
How an AI Assistant Can Work With Your Business Data with MCPs
Imagine asking your AI assistant: “What were our top-selling products last quarter, and which sales rep closed the most deals?” And instead of getting a ...
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