SACM21: SAP Analytics Cloud Modeling in Data Transformation Course Overview
SACM21: SAP Analytics Cloud Modeling in Data Transformation equips professionals with essential skills in data modeling and transformation using SAP Analytics Cloud. This course is crucial for data analysts, business intelligence specialists, and IT professionals seeking to enhance their analytical capabilities, enabling them to drive informed decision-making and optimize business processes through effective data visualization and insights.
Course outline & what you'll learn
Overview of SAC features and capabilities
- Understanding the SAC interface
- Connecting to various data sources
- Data import options and data acquisition techniques
- Creating and managing models
- Understanding model types: acquisition models vs. story models
- Utilizing data wrangling and transformation features
- Applying calculated measures and dimensions
- Hierarchies and attributes
- Time series modeling and handling date dimensions
- Implementing security measures in SAC models
- Understanding roles and permissions
- Building stories using models
- Best practices for data visualization in SAC
- Techniques for optimizing model performance
- Monitoring and troubleshooting model issues
- Analyzing real-world use cases of SAP Analytics Cloud
- Group projects and presentations on modeling scenarios
- Summary of key concepts covered
- Final assessment and feedback session
Why train with Traincrest
This SAP course is delivered by Traincrest's certified instructors, live online or in the classroom, with hands-on labs and a 98% exam success rate. Trusted by 500+ companies and 50,000+ students worldwide.