SAP Analytics Cloud (SAC) BI Features: Empowering Data-Driven Decisions

SAP Analytics Cloud (SAC) BI Features: Empowering Data-Driven Decisions

Table of Contents

1. Core Analytics & Visualization
2. Data Connectivity & Management
3. Advanced & Augmented Analytics
4. Collaboration & Sharing
5. Administration & Governance

1. Core Analytics & Visualization

• Interactive Dashboards: Build dynamic, customizable dashboards with intuitive drag-and-drop functionality, providing real-time insights.
• Story Creation: Craft compelling data narratives and guided analytics experiences to communicate key findings effectively.
• Self-Service Analytics: Empower business users to explore data independently, reducing reliance on IT and accelerating insights.
• Rich Visualizations: Leverage a diverse library of charts, graphs, tables, and custom visualizations to present data in a clear and impactful manner.
• Mobile Accessibility: Access critical insights on the go with responsive design optimized for smartphones and tablets.

2. Data Connectivity & Management

• Live Data Connections: Establish direct, real-time connections to SAP HANA, SAP BW, and other data sources for up-to-the-minute analysis.
• Flexible Data Acquisition: Import data from various file formats and cloud sources, ensuring seamless integration with diverse data ecosystems.
• Powerful Data Wrangling: Clean, transform, and enrich data with intuitive tools, minimizing the need for complex coding.
• Unified Data Blending: Combine data from multiple sources to create a holistic view of your business.
• Semantic Data Modeling: Build business-friendly semantic models, simplifying data access and analysis for all users.

3. Advanced & Augmented Analytics

• Predictive Analytics: Utilize built-in predictive capabilities to forecast trends and anticipate future outcomes.
• Smart Discovery: Automatically uncover key influencers and relationships within your data, revealing hidden patterns.
• AI-Powered Smart Assist: Receive intelligent recommendations for visualizations and insights, streamlining the analysis process.
• Automated Smart Insights: Automatically analyze data patterns and identify outliers, highlighting critical anomalies.
• Time Series Forecasting: Accurately predict future trends based on historical data, enabling proactive decision-making.

4. Collaboration & Sharing

• Collaborative Workspaces: Facilitate team discussions and knowledge sharing with dedicated collaboration rooms.
• Contextual Comments & Annotations: Add valuable context and insights directly to visualizations, enhancing understanding.
• Secure Sharing & Publishing: Share content with specific users or groups, ensuring data security and controlled access.
• Versatile Export Options: Export reports and visualizations to PDF, PowerPoint, and other formats for easy distribution.
• Seamless Embedded Analytics: Integrate analytics directly into other applications, providing insights within existing workflows.

5. Administration & Governance

• Granular User Management: Control access and permissions with robust role-based user management.
• Comprehensive Version Control: Track changes and maintain a complete version history for audit and compliance purposes.
• Detailed Audit Trails: Monitor system usage and changes, ensuring accountability and transparency.
• Robust Data Security: Implement row-level security and data encryption to protect sensitive information.
• Streamlined Lifecycle Management: Manage content across development, test, and production environments, ensuring consistent deployments.