Microsoft SharePoint, Power Automate, Power Apps & Power BI — Lesson 3: Power BI Data Preparation, Modelling, and Visualization

Topics Covered

• Prepare and transform data for Power BI reporting
• Create data models, measures, visuals, filters, and interactive report pages
• Connect the four services into an end-to-end business process
• Security, reliability, performance, support, and operational controls
• Common failure patterns, diagnostic evidence, and root-cause analysis
• Corrective actions, rollback considerations, and reusable runbook updates

Guided Practice Steps

1. Translate the lesson requirement into a clear Microsoft SharePoint, Power Automate, Power Apps & Power BI implementation or analysis objective.
2. Document assumptions, selected tools or features, dependencies, risks, and expected results.
3. Perform the guided task, capture evidence, and compare the result with the acceptance criteria.
4. Record issues, corrective actions, and a reusable operational or development note.

Practical Activity

Create a Power BI report that measures request volume, status, turnaround, and exceptions.

• Define the scenario, inputs, constraints, and expected outcome.
• Complete the activity and preserve screenshots, outputs, logs, code, or decision evidence.
• Review the result, identify gaps, and document corrective or improvement actions.

Validation Checklist

• The stated requirement and expected outcome are clear.
• Configuration, code, data, or design decisions are documented.
• Normal, boundary, failure, security, and operational considerations are reviewed.
• Evidence supports the conclusion and the next action is prioritized.

Lesson Outcome

Learners can explain and apply Power BI Data Preparation, Modelling, and Visualization within a realistic Microsoft SharePoint, Power Automate, Power Apps & Power BI scenario and support the result with validation evidence.