SAP Analytics Cloud (SAC) is a powerful, integrated analytics solution that enables users to explore, visualize, and analyze data in a unified environment. For users to harness its full potential, understanding the SAC interface is essential. This article provides an overview of the core components of the SAC interface—workspaces, menus, and tools—to help you get started and navigate efficiently.
When you first log in to SAP Analytics Cloud, the interface may seem complex due to its rich functionality. However, it is designed to be intuitive, with a structured layout that organizes your workflows into clear segments. SAC’s interface primarily consists of three main parts:
Understanding these components will streamline your user experience and boost productivity.
Workspaces are essentially the “projects” or “environments” within SAC where you perform specific analytics tasks. They act as containers holding your stories, models, data sets, and analytic applications.
Each workspace is tailored to specific phases of the analytic process, from data preparation to story creation and sharing.
Menus in SAC are your primary navigation tools, providing access to all features and settings.
Global Navigation Bar (typically on the left or top):
Toolbar (context-sensitive):
Context Menus:
Navigating these menus efficiently allows you to quickly switch between designing models, preparing data, creating visualizations, and sharing insights.
Within the workspaces and menus, various tools help you manipulate data, create visualizations, and automate analytics.
Each tool is designed to help you at different stages of the analytic workflow — from raw data ingestion to final insights delivery.
Mastering the SAP Analytics Cloud interface—its workspaces, menus, and tools—is crucial for unlocking its full analytic potential. By familiarizing yourself with how SAC organizes content and offers tools for data modeling, visualization, and collaboration, you can efficiently navigate your analytic projects and deliver impactful business insights.
Whether you are a business analyst, data scientist, or an SAP professional, understanding the SAC interface forms the foundation of successful analytics in the cloud.