Define the data
Establish trusted metrics, dimensions and dataset permissions before generating queries.
Product experience / Conversational analytics
Cadence↗
An analytics workspace where a question leads to a chart, a comparison and the data behind it. Business users can explore a governed dataset while keeping the query and its assumptions available for inspection.
- Natural-language exploration
- Interactive analysis
- Saved insights
A better question. A clearer picture.
- 01
Ask
Explore revenue with a question grounded in the sample dataset.
- 02
Compare
Change the segment or region and inspect how the chart and rows change.
- 03
Keep
Inspect the query, then save the analysis as an insight.
The decisions
behind the interface.
How we would approach production. The working preview uses a defined sample dataset and local interactions; the architecture below describes the system behind a deployed product.
Plan the analysis
Translate the question into a constrained, read-only query over the approved semantic model.
Show the working
Keep the chart, source rows, filters and query together so an analyst can inspect the result.
Operate with limits
Enforce query budgets, audit access and test numerical accuracy against known answers.
Aster
Knowledge & research
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