SAP Analytics Cloud Online Training

Features and Benefits:

• Integration with SAP Analysis for Microsoft Office: Users can import data and work within a familiar environment, leveraging read and write functionalities.
• Data Locking and Enhanced Data Access Rights: Used for forecasting processes, ensuring that responsibilities held by planners are enforced with various states (open, locked, restricted) defined by enhanced data access rights.
• Predictive Analytics: Implementing machine learning for guided analysis using tools like Smart Discovery, transformations, and insights.
• Real-time Data Access: Provides seamless access to both SAP and non-SAP applications across cloud and on-premise systems.
• Embedded Analytics: Allows for what-if analysis and ad-hoc reporting directly within the platform.
• Access to SAP S/4HANA: Combines transactional processes, analytics, and planning into a single application.
• Creation and Modification Tools: Supports data-driven budgeting, forecasting, and analysis from a unified cloud interface.

Prerequisites: No prior knowledge of SAP Analytics Cloud is required to begin training. This course is designed for beginners and does not require any programming experience. Users will create dashboards, analyses, and forecasts using Chrome, and no paid software is needed.

Users in Industries: SAP Analytics Cloud is used by major companies like Exxon Mobil, CVS Health, Alphabet Inc., and CIGNA Corporation. These organizations rely on SAC for BI and analytics to drive business decisions across industries like healthcare, energy, and technology.

SAP Analytics Cloud Applications:

• Application Scope: Offers greater flexibility than stories, allowing developers to create complex dashboards. The development environment supports code writing and the creation of custom algorithms.
• Development Environment: Developers can use a combination of graphical interfaces and custom code to build solutions that meet specific business needs.
• Executing Applications: Users interact with applications through KPI tiles, charts, and interactive elements, providing a dynamic experience for analyzing and viewing data.

Course Content:

1. Building SAC models, stories, and digital boardrooms.
2. Understanding data modeling concepts with live data connections.
3. Data wrangling and loading data from various source systems, including scheduling import jobs.
4. Creating and formatting dashboards with full functionality.
5. Exploring SAC planning capabilities.
6. Embedding R scripting for data visualization.
7. Working with SAC standard business content and configuring it.
8. Administration and security, including defining roles and row-level security.
9. Leveraging predictive capabilities with standard predictive algorithms.
10. Project-based learning for hands-on experience.

By focusing on these core areas, SAP Analytics Cloud empowers users to enhance decision-making through effective data analysis and predictive insights.