Ask a question.
Get the report — fields and all.
Exl Athena turns a plain-English question into a live, governed report. Its AI reads your intent, auto-selects the right fields, assigns each its role, writes the SQL, and renders the result — so anyone can self-serve analytics without knowing a single table or column name.
no drag-and-drop, no field hunting
and assigns dimension vs measure
business meaning + the exact query
“Self-service” BI still needs an analyst.
To build a report, a business user has to know which table holds the data, which columns to pick, which one to group by, which one to sum, and how the tables join. Most don't — so they file a ticket and wait days for a number.
Field-name maze
Dozens of tables, cryptic column names, hidden joins. Where does “last quarter's revenue by region” even live?
Drag-and-drop friction
Even with a visual builder, you must know which field is a dimension, which is a measure, and how to aggregate it.
The analyst queue
So the question becomes a ticket. By the time the report lands, the decision has moved on.
Athena removes the middle step — you ask, the AI selects the fields and builds the report.
Auto Select Field — with AI.
Type a question in the field search and press ✨. Athena finds the right columns and drops them onto the canvas — already assigned the correct role.
Extracts intent from your words — no table or column names needed.
Assigns each field a role: group-by dimension vs aggregated measure — and the time grain.
Builds & runs the report instantly; adds any filters it detected.
See exactly how it got the answer.
Every AI report opens up: the business meaning in plain language, the exact SQL, and the semantic intent + join path it used. Trust, then apply.
Business Meaning — what the report shows, in plain English.
SQL Details — the exact, runnable query. Nothing hidden.
It even detects the subject area and picks LLM or the deterministic SQL engine.
When it's too complex for a drag-and-drop.
Ratios, differences between two columns, cycle-time date-diffs, real top-N — the visual builder can't express those. Instead of a misleading chart, Athena writes full SQL and runs it.
Detects a complex intent and switches to a written query automatically.
Applies trends too — running total, moving average — on the right column.
You still see the SQL and can edit it before running.
Answers that stay on the rails.
The AI is scoped to governed subject areas, seeded with a Company FAQ, and everyone can save their best questions to a personal library. Repeat questions are cached for instant answers.
Subject areas keep answers within the right business domain.
Company FAQ + My Library — start from a vetted question, one click.
Cached results return instantly; clear the cache to force a refresh.
From a question to a dashboard.
Apply the result to the canvas, pin it to a dashboard, and it's live in BI for everyone — the whole loop, from plain English to a shared decision, in under a minute.
Apply Result drops the report onto the builder canvas to refine.
Save to a dashboard — it's instantly shared in Data Intelligence & BI.
Save to Library so the next person just clicks it.
Everyone becomes their own analyst.
Ask in plain English, let the AI select the fields and build the report, verify the SQL, and ship it to a dashboard — self-service analytics that's actually self-service.
Ask
A plain-English question — no schema knowledge required.
Auto-select
AI picks the fields, assigns roles, writes the SQL.
Decide
Verify, apply, and pin it live to a dashboard.
Ask your data your first question.