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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Preparation and Modeling | 18% | - Data modeling and transformation - Data acquisition and connections - Dimensions, measures, and hierarchies |
| Topic 2: Administration, Security & Integration | 15% | - SAP and non-SAP system integration - System administration and security - User roles, permissions, and folders |
| Topic 3: Business Intelligence & Story Design | 20% | - Filters, calculations, and exploration - Create and format stories/dashboards - Digital Boardroom and mobile features |
| Topic 4: Analytics Designer & Office Integration | 12% | - SAP Analysis for Microsoft Office - Build analytic applications |
| Topic 5: Predictive Analytics & Machine Learning | 12% | - Integration of ML algorithms - Smart features and predictive forecasting |
| Topic 6: Planning Functionality | 15% | - Planning models and versions - Allocations, data actions, and workflows |
| Topic 7: Overview and Core Functionality | 8% | - SAP Analytics Cloud architecture and positioning - Unified analytics: BI, Planning, Predictive |
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