People should not need to know the structure of every data source to investigate an operational question. Natural-language analysis connects a familiar question to the relevant metrics and context.
We build this experience on an agreed data and semantic layer. Answers should make their scope, filters and underlying information understandable so users can review the result before relying on it.
What we can shape together
- Conversational data questions
- Semantic metric context
- Assisted analysis
- Reviewable results