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Course Outline

Overview

  • Role of Power BI in data analysis capabilities

  • Integration of Power BI with SAP environments and AI-driven tools
  • Strategic advantages of Power BI for business intelligence operations
  • Examination of practical applications and operational use cases

Foundations of Data Analysis for Executive Decision-Making

  • Core principles of data analysis methodologies
  • Identification of pertinent organizational data assets
  • Interpretation of data and analytical techniques
  • Application of data analysis to resolve operational challenges
  • Development of evidence-based arguments for stakeholders

Deployment and Configuration of Power BI

  • Acquisition and installation of Power BI Desktop
  • Establishment of Power BI Service and evaluation of licensing structures
  • Configuration of initial workspaces and user preferences
  • Connectivity to cloud-based and on-premises data repositories

Data Integration and Importation

  • Connection to standard data sources (Excel, SQL Server, Web APIs, etc.)
  • Linking Power BI to SAP Business One systems
  • Ingestion of data into the Power BI environment
  • Utilization of Power Query for data cleansing and transformation

Data Modeling within Power BI

  • Core concepts of relational data modeling
  • Creation and management of relationships between data tables
  • Implementation of measures within Power BI models
  • Construction of calculated columns and virtual tables
  • Overview of DAX (Data Analysis Expressions) syntax
  • Development of DAX formulas utilizing AI assistants (Copilot)
  • Utilization of generative AI to optimize data model efficiency for government agencies

Visualization and Dashboard Development

  • Selection of appropriate visualization types in Power BI
  • Creation of charts, tabular reports, and interactive dashboards
  • Application of report-level filters in Power BI
  • Use of AI integration (Copilot) to streamline dashboard development
  • Customization of visual elements and layout structures
  • Standards for effective data storytelling in public sector reporting

Publication and Distribution of Dashboards

  • Deployment of reports to the Power BI Service platform
  • Exporting dashboards to various formats and enabling secure web sharing

Operational Best Practices and Optimization

  • Optimization of data models and visualization performance
  • Resolution of common technical performance issues
  • Procedures for updating and maintaining analytic reports
  • Management of workspaces and semantic models within Power BI
  • Preparation strategies for the "Microsoft Certified: Power BI Data Analyst Associate" certification exam

Conclusion and Future Initiatives

Requirements

  • Foundational knowledge of business intelligence principles
  • Competence in Excel application
  • Understanding of database and tabular architectures

Target Audience

  • Intelligence practitioners pursuing Power BI and SAP integration for government operations
  • Analysts aiming to improve reporting capabilities through artificial intelligence-driven insights
  • Leadership personnel optimizing data-centric strategies within federal agencies
 21 Hours

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