SAC Fundamentals
Understand the platform, navigation, user roles, content organization and analytics workflow.
Business Intelligence & Planning
SAP Analytics Cloud (SAC) Online Training
Develop practical knowledge of SAP Analytics Cloud for enterprise reporting, interactive dashboards, data modeling, business planning and analytics. Learn how to explore data, design visualizations and communicate insights through guided, business-oriented scenarios.
Structured learning path
Practical business scenarios
Interview preparation
✓ Instructor-led learning options
✓ Guided practical exercises
✓ Flexible online learning
✓ Career-focused preparation
About SAP Analytics Cloud Training
SAP Analytics Cloud is a cloud-based analytics solution that brings together business intelligence, planning and selected predictive capabilities. Organizations use it to explore business data, create visual reports, monitor performance and support planning and decision-making.
This course introduces SAC navigation, data connections, modeling, stories, visualizations, calculations, planning concepts and administration fundamentals. Exercises can be adapted to the features available in the training tenant and the learner's goals.
- Understand SAP Analytics Cloud components and terminology.
- Prepare data and build analytical models.
- Create interactive stories, charts and dashboards.
- Use filters, calculations and key performance indicators.
- Explore planning workflows, versions and forecasting concepts.
- Practice troubleshooting and interview scenarios.
Course Information
CourseSAP Analytics Cloud
AbbreviationSAC
DeliveryOnline training
LevelBeginner to Advanced
Core focusBI, Reporting & Planning
PracticeGuided exercises
Demo sessionEnquire to schedule
Contactinfo@erpclasses.com
Core Learning Areas
Build Essential SAP Analytics Cloud Skills
Explore the key areas used to turn business data into useful insights and planning information.
Data Modeling
Explore dimensions, measures, attributes, hierarchies, data preparation and model design.
Stories & Dashboards
Create analytical stories using charts, tables, filters, layouts and interactive visualizations.
Calculations & KPIs
Work with calculations, restricted measures, derived metrics and business performance indicators.
Planning & Forecasting
Learn planning models, versions, data entry, allocations and forecasting concepts where available.
Data Connections
Understand supported data acquisition, live connectivity, import connections and integration concepts.
Detailed Curriculum
SAP Analytics Cloud Course Syllabus
Explore the planned modules. Feature availability and practical exercises depend on your SAC tenant, licensing and system setup.
Module 1: Introduction to SAP Analytics Cloud
- Introduction to SAP Analytics Cloud
- Business intelligence, analytics and planning concepts
- Key SAC capabilities and use cases
- Overview of analytics and planning workflows
- SAC terminology and solution landscape
- Examples of enterprise reporting requirements
Module 2: SAC Environment and Navigation
- Accessing the SAC environment
- Home screen and navigation
- Files, folders and content organization
- Stories, models and analytic applications overview
- Basic user preferences and interface settings
- Understanding available roles and permissions
Module 3: Data Sources and Connections
- Supported data-source concepts
- Import data and live connection overview
- Connecting to supported SAP data sources
- External data-source connectivity concepts
- Connection setup and prerequisites
- Authentication and access considerations
- Common connection issues and troubleshooting
Module 4: Data Acquisition and Preparation
- Importing supported datasets
- Reviewing source columns and data types
- Cleaning and preparing data
- Handling missing values and duplicates
- Mapping source fields
- Data refresh and acquisition concepts
- Validating data before model creation
Module 5: Creating and Managing Models
- Introduction to SAC models
- Model creation workflow
- Dimensions, measures and attributes
- Public and private dimension concepts where applicable
- Model structure and data types
- Model validation and maintenance
- Choosing appropriate modeling structures
Module 6: Dimensions, Hierarchies and Measures
- Dimension types and use cases
- Measures and account-based modeling concepts
- Attributes and dimension properties
- Parent-child and level-based hierarchy concepts
- Currency and unit considerations
- Time dimensions and calendar concepts
- Member properties and data consistency
Module 7: Creating Stories and Reports
- Introduction to stories
- Creating a new story and selecting data
- Story pages, layouts and responsive design
- Adding charts, tables and visual elements
- Formatting and organizing story content
- Adding titles, descriptions and explanatory text
- Saving, sharing and maintaining reports
Module 8: Charts, Tables and Visualizations
- Bar, column, line and pie charts
- Tables and cross-tabular analysis
- Comparison and trend visualizations
- Chart properties and formatting
- Choosing visualizations for business questions
- Conditional formatting and highlighting
- Building clear and accessible dashboards
Module 9: Filters, Prompts and Drill-Down Analysis
- Story and page filters
- Widget-level filtering
- Input controls and selection options
- Drill-down and hierarchy exploration
- Sorting, ranking and top-N analysis
- Linked analysis concepts
- Interactive reporting scenarios
Module 10: Calculations and Advanced Analytics
- Calculated measures and dimensions
- Restricted measures and filters
- Aggregation and calculation concepts
- Variance, percentage and growth calculations
- Running totals and time-based comparisons where supported
- Analytical calculations and their limitations
- Testing calculation results against business expectations
Module 11: Data Blending and Multi-Source Analysis
- Introduction to combining data sources
- Data blending concepts and prerequisites
- Matching dimensions and identifying common keys
- Join and relationship concepts
- Handling mismatched granularity
- Validating combined results
- Common data blending limitations
Module 12: SAP Integration and Enterprise Reporting
- Overview of SAP data integration with SAC
- SAP S/4HANA and SAP BW connectivity concepts
- SAP Datasphere integration overview
- Live and import connection considerations
- Enterprise data access and authorization concepts
- Report design for business stakeholders
- Integration prerequisites and troubleshooting
Module 13: Planning Fundamentals
- Introduction to integrated planning
- Planning models and account structures
- Actuals, budgets and forecasts
- Planning versions and categories
- Data entry and planning tables
- Planning calendars and workflow concepts where available
- Overview of planning responsibilities
Module 14: Budgeting, Forecasting and Variance Analysis
- Budgeting and forecasting workflows
- Comparing actuals against budgets
- Variance and deviation analysis
- Planning assumptions and business drivers
- Forecast scenarios and version comparison
- Data spreading and allocation concepts
- Reviewing and validating planning results
Module 15: Predictive Planning and Forecasting Concepts
- Introduction to predictive analytics in SAC
- Time-series forecasting concepts
- Historical data and forecast inputs
- Trend, seasonality and forecast interpretation
- Scenario analysis and business assumptions
- Understanding model limitations and forecast accuracy
- Feature availability based on SAC environment and licensing
Module 16: Security, Roles and Content Sharing
- Users, teams and roles overview
- Permissions and access control
- Data access and model security concepts
- Folder and content-sharing permissions
- Collaboration and report distribution
- Security troubleshooting
- Good practices for enterprise content management
Module 17: Administration and Performance
- Environment and connection administration overview
- Content organization and lifecycle management
- Data refresh monitoring
- Performance considerations for models and stories
- Investigating slow reports and large datasets
- Data quality and report validation
- Operational support and issue documentation
Module 18: End-to-End Analytics Project
- Understand a sample business reporting requirement
- Prepare a sample dataset or approved connected source
- Create a model with appropriate dimensions and measures
- Build a story with charts, tables and filters
- Calculate and display key performance indicators
- Validate results and refine the dashboard
- Present findings and document design decisions
Module 19: Interview and Career Preparation
- SAC architecture and terminology questions
- Modeling and data connectivity discussions
- Stories, filters, calculations and dashboard scenarios
- Planning and forecasting interview topics
- Common support issues and troubleshooting
- Project explanation and scenario-based questions
- Resume and career preparation guidance
Who Can Join
Who Should Learn SAP Analytics Cloud?
The course can be adapted to your background, current role and career objectives.
Fresh Graduates and Beginners
Build foundational skills in business intelligence, visualization and cloud analytics.
SAP Consultants
Explore analytics capabilities and reporting scenarios for SAP business environments.
Business Intelligence Professionals
Develop SAC knowledge for dashboards, models, calculations and business reporting.
Finance and Planning Professionals
Understand budgets, forecasts, variance analysis and integrated planning concepts.
Data Analysts
Learn to transform business datasets into interactive reports and visual insights.
Working Professionals and Career Changers
Follow a structured learning path aligned with enterprise analytics and reporting roles.
Learning Journey
From SAC Fundamentals to Business Insights
Build knowledge progressively through modeling, reporting, guided practice and project preparation.
Understand
Learn SAC navigation, core concepts, data sources and analytics workflows.
Model
Explore dimensions, measures, data preparation, calculations and model design.
Visualize
Create stories, dashboards, filters and reports around business requirements.
Apply
Practice business scenarios and prepare to explain SAC solutions in interviews.
Frequently Asked Questions
SAP Analytics Cloud Training FAQs
Answers to common questions about learning SAP Analytics Cloud.
1. What is SAP Analytics Cloud?
SAP Analytics Cloud is a cloud-based analytics solution that combines business intelligence and planning capabilities, with additional predictive features depending on the product functionality available.
2. What is SAC used for?
Organizations use SAC to create dashboards and reports, explore business data, monitor KPIs, support budgeting and forecasting, and communicate analytical insights.
3. Do I need prior SAP experience?
Prior SAP, database or analytics experience can help, but beginners can start with the fundamentals and build up gradually. Basic spreadsheet and business-data knowledge is useful.
4. Does the course include dashboard creation?
Yes. The planned syllabus covers stories, charts, tables, filters, calculations and interactive reporting. The exact exercises depend on the available SAC environment.
5. Does this course cover SAP planning?
The syllabus introduces planning models, versions, budgeting, forecasting and variance analysis. Access to relevant planning features and the depth of practical work depend on the training tenant and licensing.
6. Will I get hands-on practice?
Guided exercises and a project-oriented scenario can be included. Practical work in a live SAC tenant requires suitable system access and any necessary licensing.
7. Is SAP Analytics Cloud useful for SAP consultants?
SAC can be relevant to consultants and analysts working with enterprise reporting, planning and SAP data sources. The most suitable learning path depends on your role and project needs.
8. Does the course guarantee a job or SAP certification?
No. Training and interview preparation can support skill development, but employment and certification outcomes are not guaranteed. Official certification requirements should be checked separately with SAP.
9. How do I get fees and batch timings?
Submit the enquiry form or contact ERPClasses.com by email or WhatsApp to ask about current fees, available batches and training formats.
Start Your Learning Journey
Enquire About SAP Analytics Cloud Training
Interested in SAP Analytics Cloud? Contact ERPClasses.com to discuss the syllabus, available training formats, batch schedules and a learning path suited to your experience.
Register your interest for a free demo and guidance session. Our team can help you understand the course structure before you begin.
Email:
info@erpclasses.com
WhatsApp:
+91 89196 54290
Website:
www.erpclasses.com