AI Data Analyst
Answers about your business — grounded, never guessed.
An AI data analyst lets you ask questions about your business in plain English and get answers grounded in your actual numbers — not a model's best guess. LiminaHub computes the facts with deterministic code and cites the rows behind every figure, so you can trust the answer enough to act on it.
What it handles
- Answers plain-English questions about your metrics
- Tracks KPIs and learns their normal ranges
- Flags anomalies with a calibrated confidence and a likely cause
- Summarizes what changed and why, with citations
- Builds a recurring digest of the numbers that matter
Tools it uses
- Google Sheets
- Stripe
- Gemini
How the ai data analyst works
- 1Connect your data sources — read-only.
- 2Ask a question, or set a KPI to watch.
- 3It computes the answer deterministically and cites the rows.
- 4It learns baselines and flags when something moves.
In practice
"Why did revenue dip last week?"
You ask in plain English. It pulls the numbers from Stripe, compares against the baseline it learned, and answers: revenue is down 12%, driven by three churned accounts — with the exact rows cited. No dashboard-building, no guessing.
Questions
Can I trust the numbers?
Yes — the facts are computed by deterministic code, not generated by the model, and every figure cites the rows it came from. It's built to say 'I can't tell' rather than invent a number.
Do I need to build dashboards?
No. You ask questions in plain English; it does the querying and computing. It can also produce a recurring digest of the metrics you care about.
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