What does it mean to chat with your data in plain language?

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iDBQuery · Accepted Answer

Chatting with your data means asking questions in ordinary English — like "which regions missed target last quarter?" — and getting a real answer from your actual databases and files. iDBQuery translates your question into SQL, runs it against your live data, and replies with a cited number, chart or table. "Chat with your data" is exactly what it sounds like: a conversation instead of a query language. You type a question the way you'd ask a colleague, and iDBQuery does the technical work behind the scenes.

For example, you might ask:

- "What were total sales by month this year versus last?"
- "Which customers haven't ordered in 90 days?"
- "Why did margin drop in March?"

For each one, iDBQuery figures out which tables and files hold the answer, writes the SQL, runs it against your live model, and replies in plain language with the supporting chart, table or dashboard. Because it's a conversation, you can follow up — "now break that down by region" — and it keeps context.

Crucially, this isn't a chatbot guessing from training data. iDBQuery answers only from *your* connected sources and cites every figure back to the exact source row. You can ask a vague, exploratory question or a precise one, in everyday words, and the answer is grounded in real data you can verify.

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