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SAP AI for Analytics, SAC + Predictive AI Training
Glossary of Terms
Glossary of SAP AI for Analytics, SAC + Predictive AI terms
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Session 1 - SAP Analytics Cloud Setup and Predictive Intelligence Basics
Session Video - SAP Analytics Cloud Setup and Predictive Intelligence Basics (50:57)
Assignment
Quiz
Session 2 - Classification Regression and Forecasting with Smart Predict
Session Video - Classification Regression and Forecasting with Smart Predict (45:09)
Assignment
Quiz
Session 3 - Model Training Validation and Prediction Accuracy
Session Video - Model Training Validation and Prediction Accuracy (39:49)
Assignment
Quiz
Session 4 - Executive Dashboards Smart Insights and Risk Detection
Session Video - Executive Dashboards Smart Insights and Risk Detection (81:28)
Assignment
Quiz
Session 5 - Planning What If Analysis and Scenario Decisions
Session Video - Planning What If Analysis and Scenario Decisions (59:39)
Assignment
Quiz
Session 6 - Analytics Governance Storytelling and Capstone Execution
Session Video - Analytics Governance Storytelling and Capstone Execution (69:53)
Assignment
Quiz
Assessments
Assessment - 1. SAP Analytics AI Foundations
Assessment - 2. Smart Predict for Classification and Regression
Assessment - 3. Forecasting and Time-Series Planning
Assessment - 4. AI Dashboards and Augmented Analytics
Assessment - 5. Planning, What-If Analysis, and Business Scenarios
Assessment - 6. Governance, Storytelling, and Capstone
Assignments
Assignment - 1. SAP Analytics AI Foundations
Assignment - 2. Smart Predict for Classification and Regression
Assignment - 3. Forecasting and Time-Series Planning
Assignment - 4. AI Dashboards and Augmented Analytics
Assignment - 5. Planning, What-If Analysis, and Business Scenarios
Assignment - 6. Governance, Storytelling, and Capstone
Lab Activity
Lab Activity - 1. Create a sample SAC model from sales and operations data
Lab Activity - 2. Prepare a clean dataset for predictive use cases
Lab Activity - 3. Build a basic story with KPI tiles, charts, and filters
Lab Activity - 4. Build a classification model to predict late invoice payments
Lab Activity - 5. Build a regression model to predict sales value by product and region
Lab Activity - 6. Review predictive drivers and explain results in business language
Lab Activity - 7. Publish prediction output into a SAC story
Lab Activity - 8. Create a sales forecasting model using monthly historical data
Lab Activity - 9. Build a demand forecast for a product category
Lab Activity - 10. Compare forecast versions across regions and time periods
Lab Activity - 11. Add forecast output to a planning-ready dashboard
Lab Activity - 12. Build an executive dashboard with actuals, forecast, and risk signals
Lab Activity - 13. Add driver and variance analysis visuals
Lab Activity - 14. Create a role-specific dashboard for finance or supply chain managers
Lab Activity - 15. Design an exception-focused dashboard for weekly review meetings
Lab Activity - 16. Create a what-if planning model for revenue changes
Lab Activity - 17. Simulate a supply chain demand spike and review impacts
Lab Activity - 18. Build a workforce planning scenario using predictive trends
Lab Activity - 19. Present scenario outputs in a planning story
Lab Activity - 20. Build an end-to-end predictive analytics story from raw data to dashboard
Lab Activity - 21. Add forecasting and scenario planning to the same use case
Lab Activity - 22. Final capstone presentation create a decision dashboard with prediction, forecast, and business recommendatio
Configuration Guide
ANALYSIS ON THE PLANNING FEATURE OF SAP ANALYTICS
Capstone Projects / Case Studies
Capstone Project - 1. Financial Expense Forecasting and Budget Optimization
Capstone Project - 2. HR Employee Attrition and Flight Risk Analytics
Capstone Project - 3. Customer Churn Prediction and Retention Analytics
Capstone Project - 4. Sales Revenue Forecasting and Scenario Planning
Capstone Project - 5. Supply Chain Demand Planning with Smart Predict
Sample Resumes
Sample Resume - Fresher Entry-Level - SAP AI for Analytics, SAC + Predictive AI (0–2 Years Experience)
Sample Resume - Mid-Level - SAP AI for Analytics, SAC + Predictive AI (3–5 Years Experience)
Sample Resume - Experienced Senior Leader - SAP AI for Analytics, SAC + Predictive AI (8+ Years Experience)
Interview Questions
Interview Questions - Set 1
Interview Questions - Set 2
Interview Questions - Set 3
Interview Questions - Set 4
Interview Questions - Set 5
Prepare your Linkedin profile
Linkedin Cheat Sheet
Prepare your Resume
Resume Cheat Sheet
Final Quiz
Test Your Knowledge
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