
The agenda for this session included:
Introduction to SAP Analytics Cloud features
Overview of interface and navigation panels
Accessing menus and configuration options
Creating a simple connection to data sources
Exploring story creation basics
Key capabilities highlighted for beginners
The agenda for this session included:
Importing and cleansing raw datasets
Performing data transformations
Creating basic models with measures and dimensions
Adding hierarchies and attributes
Validating model structures
Understanding connections between datasets
The agenda for this session included:
Building stories from existing models
Using tables and charts for analysis
Applying filters for interactive visuals
Formatting charts and layouts
Saving and sharing story drafts
Exploring options for collaborative use
The agenda for this session included:
Applying advanced filters and input controls
Using cascading filter effects in stories
Customizing story pages and layouts
Linking multiple widgets for interaction
Adding calculations to visuals
Managing advanced design elements
The agenda for this session included:
Creating live connections to BW4HANA
Exploring universe-based data sources
Importing models from connected systems
Setting up queries for data access
Comparing import and live models
Configuring data refresh methods
The agenda for this session included:
Overview of Analytics Designer in SAC
Creating application templates
Adding input controls and buttons
Scripting interactive elements
Designing custom dashboards
Running and testing analytical apps
The agenda for this session included:
Defining planning models in SAC
Adding versions for forecasts and budgets
Configuring dimensions for planning
Assigning planning functions
Creating input templates for planners
Saving and publishing planning models
The agenda for this session included:
Creating planning-specific stories
Adding value driver calculations
Assigning input-ready cells
Building layouts with tables and charts
Reviewing real planning examples
Discussing planning workflows in SAC
The agenda for this session included:
Overview of predictive analytics in SAC
Creating regression and classification scenarios
Configuring time-series forecasts
Running Smart Predict simulations
Reviewing predictive outputs and KPIs
Saving predictive results for reuse
The agenda for this session included:
Using Smart Insights for instant analysis
Applying Smart Discovery on datasets
Exploring key influencers and drivers
Reviewing auto-generated stories
Interpreting visual patterns and results
Exporting insights into storyboards
This course contains the use of artificial intelligence
The SAP Analytics Cloud Training course is designed to help professionals gain end-to-end expertise in SAP’s unified cloud platform for business intelligence, planning, and predictive analytics. This course begins with an overview of SAP Analytics Cloud, highlighting its benefits, core functionalities, and how it supports cloud, on-premise, and hybrid data landscapes. Learners will understand collaboration features, data preparation concepts, and how SAP Analytics Cloud clients enable self-service analytics across the organization
You will then explore connections and data models, learning how to connect to various data sources and perform basic data modeling within SAP Analytics Cloud. The training focuses on preparing datasets and structuring analytical models that serve as the foundation for reporting and analysis. A major portion of the course is dedicated to building stories and analytical applications, where you will design interactive dashboards, apply visualizations, calculations, and formatting, and work with advanced story features. Integration with SAP BW/4HANA and SAP Universes ensures real-world enterprise relevance
The course also covers SAP Analytics Cloud Planning, guiding you through the creation of planning data models and planning processes. You will gain exposure to augmented analytics, including Smart Assist and Smart Predict, enabling you to generate predictive insights and simplify data exploration. Additional modules address user management, roles, security, and administration, ensuring secure and controlled access to analytical content.
Finally, you will learn to create executive-level presentations using SAP Digital Boardroom, manage content through the analytics catalog, and consume insights via SAP Analytics Cloud mobile. By the end of this course, learners will be able to model data, build stories,plan, predict, and deliver actionable insights using SAP Analytics Cloud.