SAP Analytics Cloud (SAC) offers various product applications that serve to different business needs, ranging from data analysis and data visualization to planning and forecasting. Below are the list of different product applications available in SAC.
1. Business Intelligence (Stories)
| Purpose | Key Features |
|---|---|
| To provide powerful analytics, reporting, and visualizations for better business decision-making. | Data exploration and visual analytics. Interactive dashboards and stories using different types of charts like waterfall chart, time series chart etc.. Data modeling and connections to both cloud and on-premise data sources. Data wrangling and transformation capabilities. |
2. Planning
| Purpose | Key Features |
|---|---|
| To streamline financial and operational planning and forecasting processes | Budgeting, forecasting, and what-if scenarios. Real-time collaboration with stakeholders across departments. Integrated planning workflows with data and analytics. Supports top-down and bottom-up planning models |
3. Predictive Analytics
| Purpose | Key Features |
|---|---|
| To leverage historical data for predictive insights and forecasting. | Machine learning algorithms for predictive modeling. Time-series forecasting for trend analysis. Automated data preparation and feature selection. Built-in integration with SAC BI and Planning applications for end-to-end insights |
4. Analytic Applications
| Purpose | Key Features |
|---|---|
| You can customize the visualizations and interaction behaviors of UI elements to meet user requirements. | Design and build highly customized analytics and planning applications. Use scripting to enhance and enable more flexible data navigation and analysis workflows for your charts, tables, and page filters |
5. Data Connectivity and Integration
| Purpose | Key Features |
|---|---|
| To allow seamless integration with various data sources and systems | Native connectors to SAP systems (like SAP S/4HANA, SAP BW) and non-SAP sources (like Google Analytics, Salesforce). Cloud and on-premise data connections. Real-time data access for interactive and live analytics. Data import/export features |
6. Augmented Analytics
| Purpose | Key Features |
|---|---|
| To help users quickly derive insights through automated analytics and AI | Natural language processing (NLP) for querying data (Ask and Explore). Smart insights, anomaly detection, and automated trend analysis. Enhanced visualization recommendations based on data patterns. AI-powered forecasting and data analysis. |
7. Collaboration
| Purpose | Key Features |
|---|---|
| To bring up the communication and collaboration among teams when working on data-driven projects | Real-time commenting on stories and reports. Sharing and publishing content for stakeholder engagement. Workflow support for approval processes and task management. Version control for collaborative content creation. |
8. Security and Administration
| Purpose | Key Features |
|---|---|
| To manage user access, roles, and security settings across Cloud Analytics SAP. | User authentication and access control using roles and teams. Auditing for tracking user activities and data changes. Data governance features, including data masking and encryption. Administration tools for system configuration and monitoring |
9. Access on Mobile Devices
| Purpose | Key Features |
|---|---|
| To provide access to SAC data and insights on mobile devices | Responsive design for viewing reports and dashboards on mobile devices. Real-time data updates and push notifications. Mobile-specific navigation for an optimized user experience |
Each of these product applications in SAC can be integrated into a seamless workflow, offering end-to-end capabilities for data analysis, planning, forecasting, collaboration, and much more.