Glossary · Analytics

Conversational Analytics

Conversational analytics is the practice of exploring and analyzing data through natural language dialogue–asking questions, getting answers, and refining with follow-ups–instead of building queries or reports.

Traditional analytics has a translation problem: the person with the question is rarely the person who can write the query, so questions queue up and many never get asked at all. Conversational analytics removes the translator. You ask "did the pricing change affect signups?", get an answer, then push further–"only for the EU?"–the way you would with an analyst sitting next to you. The measurable effect is that more questions get asked: when the cost of a question drops from a two-day ticket to ten seconds, people interrogate their data instead of guessing.

In practice

How AI for Database applies it

AI for Database is conversational analytics on your own database: ask in plain English, get tables and charts back, and keep drilling with follow-up questions.
Analytics · aifordatabase glossaryRead-only ✓

Fig — every answer ships with the tables, rows and SQL behind it.

See it on your own database

Connect read-only in minutes. Free models included.

Start free