SAC Models
SAC Models are the foundational metadata layer in SAP Analytics Cloud that define dimensions, measures, hierarchies, and data connections used by stories, dashboards, and planning applications. This topic covers analytic and planning model types, dimension and account structures, live versus imported data acquisition, currency conversion, and how models integrate with SAP Datasphere and other source systems to deliver governed, reusable data foundations across an SAC tenant.
Overview
SAC Models are the foundational metadata layer in SAP Analytics Cloud that define dimensions, measures, hierarchies, and data connections used by stories, dashboards, and planning applications. This topic covers analytic and planning model types, dimension and account structures, live versus imported data acquisition, currency conversion, and how models integrate with SAP Datasphere and other source systems to deliver governed, reusable data foundations across an SAC tenant.
Lessons in this topic
- Understanding SAC Models: Purpose, Types, and Core Building BlocksIntroduces what an SAC model is, why it exists as a separate layer from stories, and the fundamental differences between analytic and planning models, dimensions, measures, and data acquisition modes.
- Designing SAC Model Structures: Dimensions, Accounts, Currency, and Version ManagementCovers practical design decisions for building robust SAC models, including dimension types, the Account dimension in planning models, currency conversion setup, version handling, and validation before rollout.
- Calculated Measures, Restricted Measures, and Currency Conversion in SAC ModelsLearn how to extend an SAC model's analytical power using calculated measures, restricted measures, and currency conversion so business users get correct, reusable metrics without duplicating logic in every story.