SAC_DATASPHEREbeginner
Analytic Models
Analytic Models are the semantic modeling layer in SAP Analytics Cloud that define dimensions, measures, hierarchies, and calculations on top of underlying data sources, enabling stories, planning, and predictive scenarios. This part covers foundational concepts, model types, and the practical build process for reporting and planning-ready models.
Overview
Analytic Models are the semantic modeling layer in SAP Analytics Cloud that define dimensions, measures, hierarchies, and calculations on top of underlying data sources, enabling stories, planning, and predictive scenarios. This part covers foundational concepts, model types, and the practical build process for reporting and planning-ready models.
Lessons in this topic
- Analytic Models Foundations: Purpose, Types and Core StructureIntroduces what an Analytic Model is in SAP Analytics Cloud, why it exists as a distinct semantic layer, the two main model types, and the basic building blocks every consultant must understand before building stories.
- Building and Configuring Analytic Models: Dimensions, Measures, Currency and CalculationsCovers the practical configuration steps for building an Analytic Model, including dimension setup, hierarchies, calculated and restricted measures, currency conversion configuration, and how these choices affect story-level performance and correctness.
- Calculated Measures, Restricted Measures, and Currency Conversion in Analytic ModelsLearn how to build calculated and restricted measures inside an Analytic Model and configure currency conversion, and understand how these calculation layers affect performance, reusability, and consistency across stories.
- Introduction to Analytic Models: Purpose, Types, and Where They FitUnderstand what an Analytic Model is in SAP Analytics Cloud, why it exists, the two core model types (Account and Measure-based), and how it differs from a Story or a Datasphere view.
- Building and Configuring Analytic Models: Dimensions, Calculated Measures, and Data SourcesWalk through the practical process of building an Analytic Model: adding dimensions, creating calculated and restricted measures, choosing import versus live acquisition, and preparing the model for story and planning consumption.