• Overview of SAP Lumira and its role in BI
• Positioning within SAP analytics portfolio
• Key use cases and business benefits
• End-to-end visualization workflow overview
• Desktop vs server concepts
• User interface, panels, and navigation
• Data preparation, visualization, and story modes
• Architecture supports self-service BI
• Import vs live data connection concepts
• Data acquisition from SAP BW and SAP HANA
• Data refresh and update handling
• Data connectivity ensures reliable analytics
• Data cleansing and transformation techniques
• Measures, dimensions, and hierarchies
• Calculated columns and formulas
• Data enrichment and filtering
• Preparation ensures accurate visualizations
• Tables, crosstabs, and KPIs
• Geo maps and geographic visualizations
• Interactive filters and drill-downs
• Visual components improve insight clarity
• Combining charts, text, and images
• Page layout and design principles
• User interaction and navigation
• Storytelling enhances business communication
• Ranking, conditional formatting, and thresholds
• Time-based analysis
• Analytical extensions overview
• Advanced analytics supports deeper insights






















