AI
How to Read YouTube Channel Performance Through Watch Time and Retention
Views are the easiest YouTube metric to check and the least useful one to act on. What predicts whether a channel actually grows is watch ...
by Nevena Rudan · Sep 24
Salesforce MCP: Is CRM Data Enough for Your AI Agent?
TL;DR Connecting Salesforce to Claude via MCP is the advancement the SERP says it is. You authenticate once, your AI agent queries live CRM data, ...
by Nevena Rudan · Sep 24
Business Users Trust BI Tools More. They Reach for ChatGPT Anyway.
86% pick generative AI before any BI tool for analytical work. Trust ranks fourth in their reasons. Speed and convenience rank first. TL;DR BI has ...
by Nevena Rudan · Sep 24
Introducing the Skills Marketplace: AI analyses on your data, with expert judgment built in
The questions teams want answered, and what gets in the way Every team we talk to has a running list of questions they wish they ...
by Peter Caputa IV · Jun 30
How to Track AI Search Visibility With GA4 and Search Console
A manual walkthrough, and the Claude skill that does it for you. TL;DR Every AEO guide tells you that you need a dedicated AI visibility ...
by Nevena Rudan · Sep 24
AI Makes Data Governance Non-Negotiable. What Does That Mean for Mid-Sized Companies?
Your dashboards have a new reader, and it doesn’t have judgment. TL;DR Your dashboards have a new reader. It can do arithmetic faster than your ...
by Nevena Rudan · Sep 24
How to Diagnose a Sudden Lead Drop With AI: Step-by-Step Prompt
A six-step AI diagnostic workflow with copy-paste prompts to find out exactly what broke in your B2B funnel, and whether the problem is even where ...
by Nevena Rudan · Sep 24
How to Run a Campaign Post-Mortem With AI: A Worked Example
TL;DR Introduction A marketing director sits down ten days after her campaign closed. Six browser tabs are open: LinkedIn Ads, HubSpot, GA4, Mailchimp, an attribution ...
by Nevena Rudan · Sep 24
Speed Became Free. Your Analytics Budget Didn’t.
The fastest way to answer a business question used to be expensive: an analyst on staff, a clean warehouse, a dashboard for every recurring ask. ...
by Nevena Rudan · Sep 24
Why AI Agents Need a Semantic Layer (and What That Actually Means in 2026)
TL;DR Everyone is racing to put an AI agent on top of their data. Almost nobody is asking whether the agent can be trusted to ...
by Miha Pavlinek · Sep 24
How to Connect Business Data to Claude (and Actually Get Accurate Answers)
TL;DR Introduction You ask Claude what your MRR was last month. The answer comes back fast, formatted cleanly, stated with total confidence, and completely wrong. ...
by Nevena Rudan · Sep 24
How to Create an AI-Generated Business Report in 2026 (Step-by-Step)
Get AI-generated reports that explain why your metrics changed, not only what happened, using connected live data, specific prompts, and a six-step process. TL;DR Every ...
by Nevena Rudan · Sep 24
How AI-Driven Insights Improve Business Decision-Making
TL;DR Eighty-five percent of business leaders have suffered from decision distress — regretting, feeling guilty about, or questioning a decision they made in the past ...
by Nevena Rudan · Sep 24
The Marketing Manager’s Guide to Questioning AI-Generated Analytics
A five-question audit, with the exact prompts to paste, walked through on a real LinkedIn CPL spike. TL;DR Introduction It is Wednesday morning. A marketing ...
by Nevena Rudan · Sep 24
Business Analytics Solutions With Embedded Generative AI: An Executive’s Guide to What’s Real in 2026
Every analytics vendor claims AI. Few can prove their AI is doing real analytical work. Here is what executives need to verify before committing budget ...
by Nevena Rudan · Sep 24
What “AI-Ready Data” Actually Means And How to Tell If Yours Is
TL;DR Introduction You turned on an AI feature in your analytics tool. It surfaced an insight about your pipeline. You looked at it, paused, and ...
by Nevena Rudan · Sep 24
The Best AI Tools for Data Analysis in 2026
Most AI analytics tools added a chatbot to a dashboard and called it intelligence. These eight actually change how fast your team goes from question ...
by Nevena Rudan · Sep 24
How to Prevent AI Hallucinations: 3 Hidden Threats When AI Analyzes Your Data
TL;DR Introduction A VP of Marketing presents an AI-generated performance review on a Monday morning. The CAC numbers are clean. The trend lines are directional. ...
by Nevena Rudan · Sep 24
How to Use AI in Data Analytics: 6 Capabilities That Change Who Uses Your Data
The shift isn’t faster reports — it’s a wider question-asking surface. TL;DR Introduction How many people on your team can get a real answer to ...
by Nevena Rudan · Sep 24
Is BI Dead? No, But Its Monopoly Is
A debate is running through the data and analytics community: BI is dead. The framing is wrong. The honest version of the argument points to ...
by Davorin Gabrovec · Sep 24
9 Real Prompts to Ask AI About Your Stripe and QuickBooks Data (And How to Extend Them)
A working starter pack for finance and functional leaders — plus what to ask next once the conversation opens up. TL;DR Introduction You’re twenty minutes ...
by Nevena Rudan · Sep 24