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Course Outline

Introduction to Power BI

  • Overview of the capabilities of Power BI Desktop and Service for government use cases.
  • Application scenarios within engineering, construction, and building information modeling (BIM) sectors.
  • Examination of the fundamental architecture underlying Power BI solutions.

Data Retrieval and Connectivity

  • Establishing connections to diverse data repositories, including SQL databases, Excel workbooks, and cloud-based platforms.
  • Importation procedures for both structured and semi-structured information formats.
  • Configuration of scheduled and real-time data refresh protocols.

Data Preparation and Modeling

  • Utilization of Power Query for data transformation processes.
  • Establishment of logical relationships between disparate data sets.
  • Development of standardized and reusable data models to support consistent analytics.

Creation of Visual Reports

  • Construction of interactive dashboards utilizing charts, geographic maps, and tabular data views.
  • Implementation of drill-through capabilities and filter-driven interaction mechanics.
  • Adoption of custom visuals adherence to established design best practices for government applications.

Application of AI Tools for Trend Analysis

  • Deployment of Power BI artificial intelligence visuals and automated narrative generation features.
  • Identification of trends and derivation of time-sensitive insights from operational data.
  • Execution of forecasting methodologies using integrated analytical tools.

Integration with BIM Data Ecosystems

  • Extraction of metadata and attributes from BIM software platforms such as Revit and Navisworks.
  • Formatting of BIM data to ensure compatibility with Power BI processing requirements.
  • Visualization of key BIM performance metrics and model-specific attributes for decision support.

Publication and Distribution Protocols

  • Deployment of reports to the Power BI Service environment.
  • Management of workspace configurations and user access controls.
  • Distribution of analytical reports across internal agency networks and authorized external partners for government stakeholders.

Summary and Next Steps

Requirements

  • Proficiency in data structures and visualization methodologies
  • Demonstrated experience utilizing Microsoft Excel or comparable software platforms
  • Prior knowledge of Building Information Modeling (BIM) protocols is advantageous, though not mandatory

Target Audience

  • Managers responsible for innovation and technology development initiatives
  • Data analysts specializing in construction or engineering sectors
  • BIM specialists aiming to improve data reporting capabilities, particularly within frameworks designed for government applications
 21 Hours

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