• Role of SAC in SAP BTP analytics portfolio
• BI, planning, and predictive analytics overview
• Analytics use cases across business functions
• End-to-end analytics lifecycle
• Positioning of SAC within BTP
• Connectivity to SAP and non-SAP systems
• Live vs import data models
• Architecture supports enterprise analytics
• Import connections from cloud and on-premise sources
• Data acquisition and refresh strategies
• Connectivity using SAP BTP destinations
• Integration ensures trusted data access
• Measures, dimensions, and hierarchies
• Calculations and transformations
• Data access control concepts
• Modeling enables meaningful insights
• Chart types and visualization best practices
• Filters, input controls, and interactions
• Responsive and optimized layouts
• Dashboards support decision-making
• Creating analytic applications
• Scripting basics and event handling
• Custom UI components and interactions
• Designer enables advanced analytics apps
• Budgeting, forecasting, and what-if analysis
• Data actions and allocation logic
• Integration of planning and analytics
• Planning supports business agility
• Smart Insights and Smart Discovery
• Time series forecasting
• Predictive scenarios overview
• Augmented analytics capabilities
• Predictive analytics enhances foresight
• Data security and privacy controls
• Performance optimization techniques
• Content lifecycle and transport
• Governance ensures scalable analytics






















