AI Tools for Analytics
Smarter, faster, and a little more human.
Welcome to my go-to list of AI-powered tools that actually help get things done. This isn’t a sponsored roundup or a hype parade — it’s a curated, battle-tested list from someone who’s used these tools in real product teams, strategic decks, and late-night SQL cleanups.
I built this page to help analysts, PMs, founders, and curious data folks find tools that make their work:
Faster without feeling rushed
Smarter without losing control
And yes — more fun (because why not?)
My AI Tool Stack (That I Actually Use)
ChatGPT (Pro) + Custom GPTs
- Daily co-pilot for writing SQL, summarizing dashboards, cleaning up thoughts.
- I use a Custom GPT tuned for product analytics and stakeholder Q&A.
- Bonus: It listens better than most Slack threads.
Y42 AI Copilot / Power BI Copilot / Looker AI
- For embedded analytics, quick summaries, and auto-insights.
- They’re getting better — still need context, but great starting point.
GPT for Data Cleaning (via Google Sheets + ChatGPT plugin)
- Use it to suggest formulas, fill gaps, or validate edge cases.
- Surprisingly helpful when you need to make something look clean before it’s actually clean.
Notion AI
- Great for summarizing messy brainstorming, retro notes, or product specs.
- Also works as a draft assistant when you’re too tired to be clever.
Other Worth-Trying Tools
- MonkeyLearn – For text classification, tagging support tickets, and fast NLP jobs.
- Screeb – For collecting + summarizing qualitative user feedback with AI.
- Narrative BI / ThoughtSpot / Sisu Data – For auto-generated insights and anomaly detection.
How I Evaluate Tools
When testing a new AI analytics tool, I ask:
- Can it replace a real, annoying task — or just add more noise?
- Does it save time in a repeatable way?
- Can I trust it enough to show a stakeholder the result?
If the answer is yes — it makes the list. If not… back to the backlog.
Dear Analyst 