Develop Analytics and Data Pipeline for Power BI

**What**
Build and integrate final Power BI datasets, semantic models, dashboards, and workspace in the Fabric production environment. Provide training materials for the internal team to ensure effective usage.

**Why**
This will enable self-service analytics through semantic models, provide executives with actionable KPIs via dashboards, and incorporate user feedback for continuous improvement. It ensures the team is equipped to maintain and utilize the solution.

## Acceptance Criteria

Ensure Power BI datasets are finalized and integrated into the Fabric production workspace.
Develop semantic models that support self-service analytics for end users.
Create executive dashboards with key KPIs and incorporate user feedback.
Deliver training materials and sessions for the internal team on using the solution.
Validate the solution through successful User Acceptance Testing (UAT).

**Story Points:** 8

Begin with the Power BI datasets, semantic models, executive dashboards, Fabric production workspace, training materials, and UAT requirements described in the issue. Done means the datasets and models are integrated, dashboards include agreed KPIs and user feedback, training is delivered, and UAT succeeds.

Written by the indexing model from the issue text.