[ ENTERPRISE_ANALYTICS ]
AI Business Intelligence Workspace
What it is
Upload data, get dashboards, ask questions of them in plain language.
[ THE_PROBLEM ]
Why this existed
BI tooling is either expensive per seat or requires a data engineer to build every dashboard on request. Mid-sized companies get neither self-serve nor timely answers.
[ WHAT_WE_BUILT ]
What we built
CSV ingestion and parsing into a dashboard builder with drag-and-drop arrangement, a chart library, an AI analysis layer over the loaded data, and export to PDF and image. Enterprise SSO through WorkOS, so it drops into an existing identity provider rather than asking a company to manage another user directory.
- CSV ingestion and parsing
- Dashboard builder with drag-and-drop arrangement
- Chart library across common visualisation types
- AI analysis layer over loaded data
- Export to PDF and image
- Enterprise SSO so it drops into an existing identity provider
[ HOW_IT_IS_USED ]
How a company uses it
A mid-sized company gets self-serve BI without a Tableau licence or a data engineer building every dashboard by request.
Built with
[ COMMON_QUESTIONS ]
Questions clients ask
Why is SSO a headline feature for a BI tool?
Because BI touches sensitive data and lives inside the company. Asking IT to manage another user directory is often what kills adoption. Dropping into the existing identity provider removes the objection before it is raised.
Can the AI layer be trusted for analysis?
For describing what is in the data, summarising trends and suggesting views, yes. For causal claims, no — and the interface should not encourage them. The safeguard is that the underlying chart is always visible alongside the narrative.
How does this compare to established BI platforms?
It does not replace them at enterprise scale. It fits companies for whom those platforms are over-specified and over-priced, where the real requirement is that a non-technical person can load a file and get a dashboard.
[ RELATED_WORK ]
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