For data & analytics teams
Data teams: stop being the queue
Your backlog is mostly variations of questions you have already answered. The interesting work waits behind the fourteenth request for last quarter's numbers cut a slightly different way.
Questions you can ask on day one
Typed, spoken, or asked from the AI assistant your team already uses. Each answer arrives with the working shown.
- Which definitions are people actually relying on, and who approved them?
- What did this answer actually run against our systems?
- Who asked what, and what did they see?
- Which questions are being asked most, so I know what to model properly?
What changes
- You approve the definitions, not every questionThe platform proposes what it finds and ranks it. A person on your team decides what becomes an approved definition, because an automatically approved metric that is subtly wrong is indistinguishable from a right one until a quarter closes on it.
- Nothing is connected without youAccess and permissions carry through from the source systems, so opening this up does not mean opening the data up.
- Every question is loggedPeople and AI assistants land in the same record, so "who saw this?" has one answer rather than two lists to reconcile.
- You can see what it ranThe generated query is part of every answer, so when something looks wrong you are debugging a query rather than a black box.
Bring one of your own questions
The most useful demo is one where you ask something you already know the answer to, then something your data cannot answer. Both take a minute and tell you more than a feature list.