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SAP Analytics Cloud (SAC) Cheat Sheet

SAP Analytics Cloud (SAC) Cheat Sheet

Back to Business Intelligence
Updated 2026-05-15
Next Topic: SAP BusinessObjects (SAP BO) Cheat Sheet

SAP Analytics Cloud (SAC) is SAP's cloud-native SaaS platform for business intelligence, planning, and predictive analytics, combining data visualization, enterprise planning, and augmented analytics in a unified environment. As the strategic analytics solution for the Intelligent Enterprise, SAC connects to SAP BW, S/4HANA, HANA, and third-party sources through live and import connections. The Q1 2026 release introduced Fact Deletion steps, area and Pareto charts, story versioning, and enhanced Compass simulation—critical for maintaining governed, audit-ready planning processes while enabling self-service exploration and AI-driven insights. Understanding the distinction between Stories (presentation-focused dashboards) and Analytic Applications (scripting-enabled interactive apps) is fundamental, as the Classic Experience reaches end-of-life in Q2 2026, making migration to the Optimized Story Experience essential.

What This Cheat Sheet Covers

This topic spans 16 focused tables and 90 indexed concepts. Below is a complete table-by-table outline of this topic, spanning foundational concepts through advanced details.

Table 1: Content Types and Use CasesTable 2: Data Connection TypesTable 3: Model Design and DimensionsTable 4: Planning FeaturesTable 5: Smart Features (AI and Augmented Analytics)Table 6: Visualization and Chart TypesTable 7: Analytics Designer ScriptingTable 8: Administration and SecurityTable 9: Performance OptimizationTable 10: Data Blending and JoiningTable 11: Advanced Planning TechniquesTable 12: Responsive Design and MobileTable 13: Integration and ExtensibilityTable 14: Scheduled OperationsTable 15: Formulas and CalculationsTable 16: Q1 2026 New Features Summary

Table 1: Content Types and Use Cases

The first decision in any SAC project is which kind of artifact you're building, because each one trades flexibility for effort differently. Stories are the quick presentation-focused dashboards, Analytic Applications open the door to full scripting, planning models add write-back, and supporting pieces like Data Actions, Composites, and Calendar Processes round out the toolkit — knowing when to reach for which saves a lot of rework.

TypeExampleDescription
Story
Create → Story → Add Chart/Table
Optimized Design Experience
• Dashboard for data visualization and exploration
• supports Responsive and Canvas page layouts, supports limited scripting through button actions and input controls
• ideal for executive dashboards and operational reports.
Analytic Application
Create → Analytic Application
Analytics Designer scripting
• Fully scriptable interactive app built with Analytics Designer
• enables custom widgets, event-driven logic, data action triggers, and complex navigation flows
• ideal for planning user interfaces and scenario analysis tools.
Planning Model
Create → Model → Planning
Define Dimensions/Measures
• Write-enabled data model supporting version management, data actions, and allocation processes
• uses Account dimension for financial planning or Measure-based for operational scenarios
• supports multi-user collaboration with public/private versions
Data Action
Create → Data Action
Add Copy/Allocation/Advanced Formula
• Automation workflow for planning operations
• contains copy steps, allocation steps, Fact Deletion steps (Q1 2026), and advanced formula scripts
• orchestrated by Multi Actions for cross-model workflows
• supports synchronous and asynchronous execution modes

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