SAP Analytics Cloud Training (Reporting, Dashboards & Planning)
SAP Analytics Cloud training teaches you to build reporting, dashboards and planning on SAP's cloud analytics platform.
- 40 hours
- Beginner
- Live online
- C_SAC_2501
What is SAP Analytics Cloud Training (Reporting, Dashboards & Planning)?
SAP Analytics Cloud training teaches you to build reporting, dashboards and planning on SAP's cloud analytics platform. You configure live and import connections to S/4HANA, Datasphere and BW, build models with dimensions, hierarchies and measures, create stories with charts, tables and geo maps, write calculations and restricted measures, implement planning with versions, data actions and allocations, use predictive scenarios and smart features, build guided applications in Analytics Designer, and manage security and publication.
What you get
- Connect SAC to S/4HANA, Datasphere and non-SAP sources
- Build analytic and planning models with hierarchies and currencies
- Design clear, performant stories and dashboards
- Write calculations, restricted measures and time-based analysis
Who this course is for
New to the field
- Business analysts and reporting specialists
- Finance teams doing planning and forecasting
- BW or Datasphere consultants adding the front end
Working professionals
- Consultants on an analytics programme
- Power users owning dashboards
- Anyone targeting the SAC data analyst exam
Prerequisites
- Comfort with data and business reporting.
- No SAP or coding experience required, though data modelling awareness helps.
What you will be able to do
- Connect SAC to S/4HANA, Datasphere and non-SAP sources
- Build analytic and planning models with hierarchies and currencies
- Design clear, performant stories and dashboards
- Write calculations, restricted measures and time-based analysis
- Implement planning with versions, data actions and allocations
- Apply predictive scenarios and smart features appropriately
- Build Analytics Designer applications and secure content
Salary range
- India
- 6-26 LPA
- United States
- 95k-145k
Market ranges for SAP Analytics Cloud Consultant, not a guarantee. Actual pay depends on experience, location and employer.
Curriculum
SAC foundations and connections
Set the platform up correctly, because the connection choice constrains everything after it.
- SAC capabilities: BI, planning, predictive
- Tenant setup, users and teams
- Live versus import connections and their trade-offs
- Connecting to S/4HANA embedded analytics
- Connecting to Datasphere and BW
- Connecting to non-SAP sources
- Data acquisition and scheduling
- Governance of connections
Modelling in SAC
Build models that support the analysis you need.
- Model types: analytic and planning
- Dimensions, measures and attributes
- Hierarchies: level based and parent child
- Currency conversion and units
- Model preferences and data locking
- Data wrangling and transformation on import
- Public versus private dimensions
- Model performance considerations
Stories and visualisation
Build the artefacts users actually open.
- Story structure: pages, sections, responsive layout
- Chart types and when each is appropriate
- Tables, cross tabs and drill behaviour
- Filters, input controls and linked analysis
- Geo maps and location data
- Conditional formatting and thresholds
- Story design principles for readability
- Mobile and responsive design
Calculations and analysis
Answer the questions the raw model does not.
- Calculated and restricted measures
- Aggregation, exception aggregation and context
- Time-based calculations and variance
- Rolling and cumulative measures
- Cross calculations
- Formula editor patterns
- Handling null and division cases
- Debugging a wrong number methodically
Planning
Use SAC as a planning tool, which is where much of its differentiation lies.
- Planning models and versions
- Public and private versions and version management
- Data entry, spreading and distribution
- Data actions and advanced formulas
- Allocation processes
- Calendar, tasks and workflow
- Value driver trees
- Integration with financial planning processes
Predictive and smart features
Add forecasting and augmented analytics without a data science team.
- Smart Insights and Smart Discovery
- Search to Insight
- Predictive scenarios: classification, regression, time series
- Training and validating a predictive model
- Applying predictions in a story
- Just Ask and natural language querying
- Explaining predictions to the business
- Limits of automated analytics
Analytics Designer, security and deployment
Move from a story to a governed application in production.
- Analytics Designer applications and scripting basics
- Widgets, events and popups
- When an application beats a story
- Roles, teams and object sharing
- Data access control and row-level security
- Scheduling, publication and distribution
- Content transport between tenants
- Adoption and performance monitoring
Projects you will build
Executive dashboard
Build a responsive story on a live connection with KPIs, variance analysis, drill-down and geo visualisation, designed to be readable in under ten seconds.
Planning application
Create a planning model with versions, build a data entry story with spreading, and implement a data action and an allocation for cost distribution.
Predictive forecast
Train a time series predictive scenario on historical data, evaluate its quality and present the forecast alongside actuals in a story.
Tools you will use
- Story designer
- Charts, tables, filters and layout. The tool you spend most of your time in.
- Modeler
- Analytic and planning model creation, dimensions, hierarchies and currency.
- Data actions and allocations
- The planning engine: advanced formulas, spreading and distribution.
- Analytics Designer
- Scripted analytic applications for guided, interactive use cases.
- Predictive scenarios
- Time series, classification and regression models with quality metrics.
- Security and sharing
- Roles, teams, data access control and content transport.
Certification
- Exam
- SAP Certified Associate, Data Analyst, SAP Analytics Cloud
- Code
- C_SAC_2501
- Level
- Associate
- Exam fee
- US$560 (single exam)
What learners say
The planning module is what set this apart. Data actions and allocations are where the real client work is.
Live versus import was explained properly, with the consequences. That decision had been causing us performance pain for a year.
Analytics Designer was a revelation. We replaced three fragile stories with one guided application.
Fees and training modes
Choose how you want to learn. No-cost EMI is available on the live and 1-to-1 modes.
Most popular
Live Online Training
Talk to us
Contact for current batch fee
Interactive live batches, weekday or weekend, with the full cohort and lifetime recordings.
Fastest
1-to-1 Training
₹49,000
Fixed for every course, no-cost EMI
Private one-on-one coaching at a pace and schedule you set.
Affordable
Self-paced Training
₹9,000
One-time fee, lowest-cost option
Learn on your own time with recorded sessions and the same materials.
Refunds and cancellations are covered in our refund policy.
What a day looks like
- Dashboard requests
- A new KPI, a filter that behaves oddly, or a chart the business says is wrong (usually an aggregation question).
- Model work
- Adding a dimension or a calculation, or fixing a hierarchy that does not roll up as expected.
- Planning cycle support
- During planning season, supporting data entry, running data actions and unblocking version issues.
- Performance
- Investigating a slow story, which is often a live connection design issue rather than SAC itself.
- Enablement
- Training power users so they can build their own stories instead of queuing behind you.
Training a team?
We run this course as private corporate training, tailored to your systems and scheduled around your team. Tell us your group size and what you need to cover.
Request a corporate quoteFrequently asked questions
Is SAC only for SAP data?
Live or import connection, which is better?
Do I need Datasphere or BW knowledge?
Is the planning capability worth learning?
Which certification does this prepare me for?
Is there tenant access?
Ready to start?
Talk to us about batch dates, the syllabus or anything else.