Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction
- Overview of Power BI and its significance in data analysis
- Exploring the synergy between Power BI, SAP, and AI tools
- Advantages of leveraging Power BI for business intelligence
- Examination of real-world applications and case studies
Fundamentals of Data Analysis for Strategic Decision-Making
- Core principles of data analysis
- Identifying key business data points
- Data interpretation and analytical techniques
- Applying analytical skills to problem-solving scenarios
- Formulating data-driven arguments for stakeholders
Power BI Installation and Configuration
- Downloading and installing Power BI Desktop
- Configuring Power BI Service and reviewing licensing models
- Setting up initial workspaces and user preferences
- Establishing connections to cloud and on-premise data sources
Data Connectivity and Import Processes
- Linking to standard data sources (Excel, SQL, Web, etc.)
- Integrating Power BI with SAP Business One
- Importing datasets into the Power BI environment
- Utilizing Power Query for data cleansing and transformation
Data Modeling within Power BI
- Essential concepts in data modeling
- Establishing and managing table relationships
- Defining measures within Power BI models
- Developing calculated columns and virtual tables
- Introduction to DAX (Data Analysis Expressions)
- Writing DAX formulas with AI assistance (ChatGPT/Copilot)
- Using AI to design efficient data models (ChatGPT)
Designing Visualizations and Dashboards
- Available visualization types in Power BI
- Creating charts, tables, and interactive report elements
- Implementing report filters for dynamic analysis
- Accelerating dashboard creation with AI (Copilot)
- Customizing visual elements and dashboard layouts
- Best practices for effective data storytelling
Publishing and Sharing Dashboards
- Deploying reports to Power BI Service
- Exporting dashboards to various formats and enabling web sharing
Best Practices and Performance Optimization
- Optimizing data models and visual performance
- Resolving common performance bottlenecks
- Maintaining and updating live reports
- Administering workspaces and semantic models in Power BI
- Preparation strategies for the "Microsoft Certified: Power BI Data Analyst Associate" exam
Conclusion and Future Learning Pathways
Requirements
- Foundational knowledge of business intelligence concepts
- Proficiency in Microsoft Excel
- Familiarity with database architectures and table structures
Target Audience
- BI professionals aiming to integrate Power BI with SAP
- Data analysts seeking to incorporate AI-driven insights into reporting
- Decision-makers focused on refining data-driven organizational strategies
21 Hours
Testimonials (2)
The exercise and Q&A
Aristantia
Course - SAP MM
passion of the trainer, kindness and good in working with a team.
