Business Insight Retrieval uses AI to surface relevant metrics, reports, and analytical findings in response to natural language business questions, enabling faster self-service analytics, by semantic search across BI report catalogues, metric definitions, and analytical content, across enterprise BI and analytics platform workflows.
Business users cannot navigate large BI report catalogues effectively to find relevant metrics and analyses, generating high volumes of ad-hoc data team requests for reports that already exist but are undiscoverable.
A retrieval model indexes BI reports, dashboards, metric definitions, and analytical findings, and returns ranked relevant content in response to natural language questions, with citations to source reports and a brief explanation of relevance.
Reduction in ad-hoc data team requests for existing reports and improvement in BI asset utilisation rate.
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