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Duration 21 hours
Course Outline
Course Introduction
- Overview of Power BI and its function in analytical operations
- Examining the linkage between Power BI, SAP environments, and artificial intelligence capabilities
- Primary advantages of Power BI for institutional intelligence requirements
- Analysis of practical applications and operational scenarios
Core Data Analysis Principles for Informed Decision-Making
- Fundamentals of data analysis methodologies
- Identification of critical operational data assets
- Interpretation and analytical processing of data
- Utilizing data analysis to resolve operational challenges
- Constructing evidence-based arguments for policy and operations
Power BI Installation and Configuration
- Acquisition and deployment of Power BI Desktop
- Configuration of Power BI Service and review of licensing structures
- Initialization of workspaces and user-specific settings
- Establishment of connections to cloud-based and on-premises data sources
Data Connectivity and Ingestion
- Integration with standard data sources including Excel, SQL, and web-based inputs
- Establishing connections between Power BI and SAP Business One
- Procedures for importing data into the Power BI environment
- Application of Power Query for data cleansing and transformation processes
Data Modeling Frameworks in Power BI
- Essential principles of data modeling
- Development and management of table relationships
- Inclusion of measures within Power BI models
- Creation of calculated columns and derived tables
- Introduction to DAX (Data Analysis Expressions)
- Composition of DAX formulas using AI assistants such as ChatGPT or Copilot
- Utilization of AI to develop efficient data models via ChatGPT
Development of Visualizations and Dashboards
- Categories of visualizations available in Power BI
- Construction of charts, tables, and interactive reporting elements
- Implementation of report filters within Power BI
- Application of AI tools for streamlined dashboard generation using Copilot
- Customization of visualization elements and dashboard layouts
- Standards for effective data storytelling and communication
Distribution and Access Management
- Deployment of reports to the Power BI Service
- Exportation of dashboards to various formats and web-based sharing protocols
Operational Best Practices and Optimization
- Enhancement of data models and visualization performance
- Resolution of frequent performance-related issues
- Protocols for updating and maintaining reporting assets
- Administration of workspaces and semantic models within Power BI
- Preparation strategies for the "Microsoft Certified: Power BI Data Analyst Associate" examination
Course Conclusion and Future Pathways
Requirements
- Foundational understanding of business intelligence principles
- Competence in Microsoft Excel
- Familiarity with database architectures and table structures
Intended Audience
- Business intelligence professionals seeking to integrate Power BI with SAP systems
- Data analysts aiming to improve reporting accuracy through AI-powered insights
- Decision-makers focused on optimizing data-driven strategies within their organizations
Testimonials (2)
The exercise and Q&A
Aristantia
Course - SAP MM
passion of the trainer, kindness and good in working with a team.