What is conversational analytics?

Conversational analytics turns data exploration into a dialogue. You ask a question in plain language, get an answer, then refine it, 'now break that down by region', 'and only for last quarter', without touching SQL or a report builder. The system keeps context across turns so the conversation flows naturally.

It matters because it:

• Removes the SQL and BI-tool barrier for non-technical users.
• Speeds iteration follow-ups take seconds, not a new report cycle.
• Reduces the analyst bottleneck people self-serve their own questions.

iDBQuery is a conversational analytics platform built for trust. You chat with your data in plain language across all your connected sources, and it responds with numbers, charts, tables and live dashboards, remembering context so you can ask follow-ups. What sets it apart from a generic chatbot is grounding: every answer is produced by real SQL against your live data and cited back to the exact source rows, so the conversation stays factual and auditable. Its autonomous Analyst agent can even carry a line of inquiry further on its own. The result is genuine self-serve analysis by conversation, without sacrificing accuracy.