Introduction to Power BI

• Overview of Power BI Desktop and Service
• Use cases in engineering, construction, and BIM
• Overview of Power BI architecture

Data Retrieval and Connection

• Connecting to multiple data sources (SQL, Excel, cloud)
• Importing structured and semi-structured data
• Using scheduled and real-time refresh options

Data Preparation and Modeling

• Transforming data with Power Query
• Creating relationships between data sets
• Building reusable data models

Building Visual Reports

• Creating dashboards with charts, maps, and tables
• Drill-through and filter-based interactions
• Custom visuals and design best practices

Applying AI Tools for Trend Analysis

• Using Power BI AI visuals and smart narratives
• Trend detection and time-based insights
• Forecasting with built-in analytics tools

Integrating with BIM Data

• Exporting data from BIM tools (e.g., Revit, Navisworks)
• Structuring BIM data for Power BI compatibility
• Visualizing BIM-related metrics and model attributes

Publishing and Sharing

• Publishing to Power BI Service
• Workspace and access management
• Sharing reports internally and externally

Summary and Next Steps