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Course Overview of SAP Analytics Cloud (SAC) Training Course:
SAP Analytics Cloud (SAC) training provides professionals with the skills to analyze business data, create insightful dashboards, and make informed decisions using SAP’s integrated analytics platform. This module is vital for organizations looking to leverage real-time analytics and predictive tools to enhance business performance.
Participants will learn how to configure SAP Analytics Cloud, connect it with enterprise systems, and create interactive reports and visualizations to support strategic planning and decision-making.
Who Needs This Course?
This SAP Analytics Cloud (SAC) training course is ideal for:
1.Data Analysts and Business Intelligence Professionals:
Enhance your ability to create visualizations and perform advanced data analysis.
2.ERP Consultants and Functional Experts:
Gain expertise in implementing SAC to complement SAP systems like S/4HANA.
3.Finance and Operations Managers:
Improve decision-making by leveraging data-driven insights and predictive analytics.
4.IT and System Administrators:
Learn how to integrate SAC with other SAP systems and manage analytics environments.
Learning Outcomes:
By the end of the SAP Analytics Cloud (SAC) training course, participants will be able to:
Configure and use SAC for analytics, planning, and reporting.
Create interactive dashboards and data visualizations.
Perform predictive and augmented analytics for advanced insights.
Integrate SAC with SAP S/4HANA, BW/4HANA, and other enterprise systems.
Utilize smart features like conversational AI and machine learning for analytics.
Generate actionable insights to support strategic business decisions.
Course Content:
The SAP Analytics Cloud (SAC) training course covers the following modules and topics:
1.Introduction to SAP Analytics Cloud
Overview of SAC and its role in enterprise analytics.
Key features and benefits of SAC for businesses.
2.Data Connectivity and Integration
Connecting SAC with SAP S/4HANA, BW/4HANA, and non-SAP data sources.
Managing data models and data preparation.
3.Dashboard and Visualization Creation
Designing interactive dashboards and reports.
Using charts, tables, and geospatial tools for data visualization.
4.Planning and Forecasting
Setting up planning models and managing budgets.
Performing scenario analysis and what-if simulations.
5.Predictive and Augmented Analytics
Leveraging machine learning algorithms for predictive insights.
Using Smart Predict and other advanced analytics features.
6.Collaboration and Decision-Making
Enabling team collaboration through discussions and shared insights.
Managing tasks and workflows in SAC.
7.Integration with Other SAP Modules
Linking SAC with SAP S/4HANA, BW/4HANA, and other enterprise systems.
Managing real-time data streams for accurate analysis.
8.Reporting and Analytics
Generating dynamic reports and advanced analytics models.
Using SAC tools to monitor key performance indicators (KPIs).