Formatting Options
Once you’ve structured your table in Data Analyzer, the Styling Panel allows you to format the display for clarity, readability, and export readiness. Formatting does…
Archives: SAC Knowledge Base Articles
Articles for the SAC Knowledge Base.
Exploring and Navigating Your Table
Once you’ve connected to a data source and built your initial table layout in Data Analyzer, the next step is to explore and interact with…
Designing an Insight
Data Analyzer in SAP Analytics Cloud is built for quick, flexible, table-based exploration. Unlike full stories, insights are lightweight objects designed for fast analysis and…
Builder Panel vs. Styling Panel
In Data Analyzer, two key panels allow you to configure and refine your analysis: the Builder Panel and the Styling Panel. Each serves a distinct…
Launching the Data Analyzer
The Data Analyzer is a table-based analysis tool in SAP Analytics Cloud (SAC) used for ad-hoc exploration of data models. It can be launched in…
Access & Permissions
Copying, Moving, Deleting, and Restoring Files and Folders Data Analyzer supports the following data sources: 1. SAP BW Live Connections Supports BEx Queries. Variable prompts…
Supported Data Sources
Copying, Moving, Deleting, and Restoring Files and Folders Data Analyzer supports the following data sources: 1. SAP BW Live Connections Supports BEx Queries. Variable prompts…
Connecting to a Data Source
When launching Data Analyzer in SAP Analytics Cloud (SAC), the first required step is selecting a data source. This determines what data you can explore…
When to Use Allocations Instead of Disaggregation
Disaggregation and allocations are both used to distribute data in SAP Analytics Cloud (SAC)—but they serve very different purposes. Knowing when to use one over…
What Are Allocations and Why Use Them?
Allocations in SAP Analytics Cloud (SAC) are used to automatically spread or shift values across dimensions according to a defined logic. While disaggregation typically breaks…