Conversational Analytics for Enterprise Data
Business users ask a question in their own words and get an answer from governed data, with the query and the source shown, instead of joining the reporting queue.
Typical outcomes for this kind of engagement. Results depend on your data and starting point.
Most reporting backlogs are made of small questions. Someone needs a number cut a slightly different way, cannot get it from the dashboard, and raises a request that takes an analyst two days to answer and five minutes to write. The people who could answer it themselves do not know the schema, and the self-service tools that promise to help assume a semantic model the organisation has not built yet.
- A reporting backlog made mostly of small, one-off questions
- Business users cannot self-serve because they do not know the data model
- Self-service BI assumes a semantic layer many organisations have not built
- Ad-hoc answers get rebuilt in spreadsheets and quietly diverge from the reports
- No record of who asked what, or which definition an answer used
CloudGate puts a question box in front of the governed layer. A question in plain language is translated into a query against the Gold layer in Microsoft Fabric, run under the asker's own permissions, and answered with the figure, the chart and the generated query all shown. Definitions come from the same governed model the official reports use, so the answer agrees with the dashboard rather than competing with it.
- Questions in plain language, answered from the governed Gold layer
- The generated query shown with every answer, so the result can be checked
- Runs under the asker's own permissions, with row-level security applied
- Definitions taken from the same model the official reports use
- Charts chosen to suit the answer, and exportable to Power BI
- Every question and answer logged, so gaps in the model become visible