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The complete SAC learning path and certification consists of the following modules:
1. SAP Analytics Cloud Foundation (SACE11)
2. Design Data Models and Transform Data in SAC (SACM21)
3. Designing Stories in SAC (SACS21)
4. Leveraging SAC Functionality for Enterprise Planning (SACP21)
5. Administration and Data Connectivity (SACA21)
6. Advanced Story Design (SACS31)
7. SAC Planning with SAP BW (SACP32)
8. SAC Planning in S/4HANA system (SACP31)
9. Designing Extended Planning Stories in SAC (SACP33)
10. Augmented Analytics (SACR21)
11. Create R Visualizations (SACR31)
This is the 2nd module in the complete SAP Analytics Cloud (SAC) learning path.
The complete SAC learning path will walk you through all the concepts of SAC, prepare you for SAC certifications, and prepare you for SAC (reporting & planning) related assignments.
This learning journey is an interactive deep dive into SAP Analytics Cloud data modeling, designed to help you build knowledge and skills.
FMVA, FP&A, Professional Scrum Master, Project Manager / SAP Solution Architect with 15+ years of experience in managing and delivering projects using various EPM (Enterprise Performance Management) tools like Business Planning and Consolidation (BPC), SAP Analytics Cloud (SAC), Business Intelligence (BI), Integrated Planning (IP), and Business Planning and Simulation (BPS).
Have delivered 20+ corporate trainings on various SAP technologies.
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This is an introduction session to the entire course.
After completing this unit, you will be able to:
Describe the foundational concepts of data modeling
Identify the different model structures
Describe the model types and data sources
Explain the types of datasets and the difference between datasets and models
Create a dataset
After completing this unit, you will be able to:
Explain private and public dimensions and the difference between dimensions and measures
Explain account, organization, generic, data and version data types
Explain the unique properties for dimension types
Explain the prerequisites required for creating hierarchies
Create a dimension and hierarchy
Import and wrangle data in a dimension
After completing this unit, you will be able to:
Create an import model
Explain data transformation functions in an import model
Import data into a model
Schedule data import
Explain calculations created for import models
After completing this unit, you will be able to:
Create calculated measures in a model
Configure and translate currencies
Explain the prerequisites required for creating hierarchies
Build custom time hierarchies
After completing this unit, you will be able to:
Create live models
Configure data for a geo map
Apply data access control
Discuss and clarify doubts