Is iDBQuery an augmented analytics tool?

Augmented analytics means using AI to automate the hard parts of analysis — writing queries, finding patterns and explaining results — so more people can work with data. iDBQuery fits that definition, then goes further.

• You ask in plain language. Type a question and iDBQuery writes the SQL, runs it and returns a number, chart, table or live dashboard.
• It investigates on its own. The autonomous Analyst agent can plan and run a multi-step investigation, not just answer a single query.
• It understands your schema. A semantic layer maps cryptic table and column names to business meaning, so you do not have to model everything first.
• Every figure is cited. Unlike many augmented-analytics features bolted onto a BI tool, iDBQuery cites each number back to the exact source rows, so results are verifiable rather than a black box.

For example, ask 'why did margin drop last quarter?' and iDBQuery can break it down by product and region, surface the biggest movers, and show the rows behind each figure. Because it queries your data in place across databases, files and APIs — no warehouse or pipeline required — you get augmented analytics without a heavy data-engineering project first.