SACE11 Introduction to SAP Analytics Cloud (formerly SAC01) Course Overview

SACE11 Introduction to SAP Analytics Cloud (formerly SAC01) Course Overview

The SAP Analytics Cloud online training course SACE11, also known as the Introduction to SAP Analytics Cloud, is designed to equip learners with a comprehensive understanding of SAP's flagship analytics platform. This course provides an in-depth look at how to get started, establish data connections, model data, and create both basic and advanced stories. It also covers planning functionalities, the use of augmented analytics, and collaboration features within SAP Analytics Cloud.

Starting with Unit 1, learners are introduced to the basics, while Unit 2 focuses on establishing data sources and connections. Unit 3 delves into data modeling techniques. Unit 4 teaches learners to create insightful reports and dashboards with basic and advanced story features. Unit 5 explores the planning capabilities of SAP Analytics Cloud. Unit 6 introduces basic augmented analytics, and Unit 7 shows how to enhance teamwork with collaboration tools. This course is essential for those seeking to leverage SAP Analytics Cloud for data-driven decision-making in their organization.

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Course Prerequisites

To ensure that participants can fully benefit from the SACE11 Introduction to SAP Analytics Cloud course, the following minimum prerequisites are recommended:


  • Basic understanding of data analysis and reporting concepts.
  • Familiarity with general business processes and their respective data needs.
  • An introductory level of knowledge in using spreadsheets (such as Microsoft Excel) for data manipulation and visualization.
  • Some exposure to or understanding of data source connectivity and integration principles.
  • No prior experience with SAP software is required; however, any previous exposure to SAP or other business intelligence tools would be beneficial.
  • Comfort with navigating software applications and a willingness to learn new technological concepts.

These prerequisites are intended to provide a foundation upon which the course will build. The course is designed to be accessible to those new to SAP Analytics Cloud, but a basic understanding of the above concepts will contribute to a more effective learning experience.


Target Audience for SACE11 Introduction to SAP Analytics Cloud (formerly SAC01)

  1. The SACE11 course offers comprehensive training on SAP Analytics Cloud, tailored for professionals seeking data-driven decision-making skills.


  2. Target Audience for SACE11 Course:


  • Data Analysts
  • Business Analysts
  • BI (Business Intelligence) Consultants
  • SAP Analytics Cloud Consultants
  • Financial Planners and Analysts
  • Data Scientists
  • IT Managers overseeing analytics or BI tools
  • Solution Architects
  • SAP ERP Professionals looking to expand skillset into analytics
  • Project Managers involved in analytics projects
  • Data Visualization Specialists
  • Reporting and Analytics Managers


Learning Objectives - What you will Learn in this SACE11 Introduction to SAP Analytics Cloud (formerly SAC01)?

Introduction to Learning Outcomes and Concepts Covered:

The SACE11 Introduction to SAP Analytics Cloud course equips students with foundational knowledge and skills to leverage SAP Analytics Cloud for data analysis, visualization, planning, and collaboration.

Learning Objectives and Outcomes:

  • Understand the key features and navigation of SAP Analytics Cloud to effectively get started with the platform.
  • Establish and manage data sources and connections for real-time access to data within SAP Analytics Cloud.
  • Utilize modeling techniques to prepare and structure data for analysis, ensuring quality and consistency.
  • Create basic and advanced stories for data visualization and reporting, enhancing the decision-making process.
  • Apply planning functions to forecast, budget, and plan within an integrated cloud environment.
  • Leverage basic augmented analytics features to gain deeper insights using machine learning and AI capabilities.
  • Use collaboration tools within SAP Analytics Cloud to share insights and make data-driven decisions as a team.
  • Gain proficiency in building and sharing interactive dashboards tailored to various business needs.
  • Explore the use of analytics designer to create custom analytical applications within SAP Analytics Cloud.
  • Understand best practices for maintaining data security and governance while using SAP Analytics Cloud.

Technical Topic Explanation

Data connections

Data connections in SAP Analytics Cloud, often referred to in training courses like SAP SAC01 and SACE11, involve linking and integrating data from various sources into the SAP Analytics Cloud platform. This setup allows professionals to access, analyze, and visualize data all in one place without the need to manage separate systems. An introduction to SAP Analytics Cloud would cover how these connections are established and utilized to enhance business intelligence and decision-making capabilities through real-time data insights. Essentially, data connections are crucial for leveraging the full potential of SAP Analytics Cloud in transforming raw data into strategic assets.

Data modeling

Data modeling is the process of creating a visual representation of a system or database to define and analyze data requirements needed to support business processes. This model guides the design of databases, specifying data types, relationships, and constraints to ensure the database is well structured and supports business operations effectively. Effective data modeling is crucial for utilizing tools like SAP Analytics Cloud, which helps in blending business data with analytics to provide insightful dashboard interfaces and reporting solutions. This model influences efficient use of data within an organization, enhancing decision-making and strategic planning.

Basic and advanced stories

Technical Topic: SAP Analytics Cloud (SAP SAC)

SAP Analytics Cloud is an all-in-one cloud platform for business intelligence, planning, and predictive analytics. It enables businesses to make data-driven decisions by providing tools for visualizing and analyzing data across various sources. The platform, often referred to in courses like SAP SAC01 and SACE11, offers an intuitive user interface and advanced analytics capabilities, integrating seamlessly with other SAP solutions. Ideal for those seeking a comprehensive understanding, 'Introduction to SAP Analytics Cloud' courses cover fundamental and advanced aspects, equipping professionals with the skills needed to leverage this powerful tool in their operations.

Planning functionalities

Planning functionalities in SAP Analytics Cloud (SAP SAC) allow professionals to streamline business processes by integrating various planning activities such as budgeting, forecasting, and financial planning directly into the cloud environment. With tools like SAP SAC01 and SACE11, users can easily create plans based on real-time data, collaborate across departments, and make informed decisions. This optimizes resource management and enhances organizational efficiency. An introduction to SAP Analytics Cloud through training can provide a deeper understanding of these capabilities, empowering users to effectively leverage powerful analytics and planning tools in their operations.

Augmented analytics

Augmented analytics is a data analysis approach that utilizes artificial intelligence (AI) and machine learning (ML) to enhance data preparation, insight generation, and explanation, making it easier and faster for users to understand and act on data. By automating the insight discovery process, it helps identify hidden patterns and trends, suggests queries, and anticipates outcomes, thus augmenting human analysis. This approach is integral in tools like SAP Analytics Cloud, providing an intuitive platform for users to gain deeper insights into their data without extensive technical knowledge.

Collaboration features

Collaboration features in the SAP Analytics Cloud facilitate teamwork by allowing multiple users to work together on data visualizations and analytic projects in real-time. This environment supports simultaneous editing, commenting, and sharing of analytical content, enhancing decision-making processes. Key functionalities include setting up shared folders, assigning roles and permissions, and integrating workflows to streamline project management. This integration fosters a seamless exchange of insights and accelerates the completion of analytic tasks, essential for swift business responses tailored to dynamic market demands. The SAP Analytics Cloud thus enhances collective efforts through its robust collaborative tools.

Target Audience for SACE11 Introduction to SAP Analytics Cloud (formerly SAC01)

  1. The SACE11 course offers comprehensive training on SAP Analytics Cloud, tailored for professionals seeking data-driven decision-making skills.


  2. Target Audience for SACE11 Course:


  • Data Analysts
  • Business Analysts
  • BI (Business Intelligence) Consultants
  • SAP Analytics Cloud Consultants
  • Financial Planners and Analysts
  • Data Scientists
  • IT Managers overseeing analytics or BI tools
  • Solution Architects
  • SAP ERP Professionals looking to expand skillset into analytics
  • Project Managers involved in analytics projects
  • Data Visualization Specialists
  • Reporting and Analytics Managers


Learning Objectives - What you will Learn in this SACE11 Introduction to SAP Analytics Cloud (formerly SAC01)?

Introduction to Learning Outcomes and Concepts Covered:

The SACE11 Introduction to SAP Analytics Cloud course equips students with foundational knowledge and skills to leverage SAP Analytics Cloud for data analysis, visualization, planning, and collaboration.

Learning Objectives and Outcomes:

  • Understand the key features and navigation of SAP Analytics Cloud to effectively get started with the platform.
  • Establish and manage data sources and connections for real-time access to data within SAP Analytics Cloud.
  • Utilize modeling techniques to prepare and structure data for analysis, ensuring quality and consistency.
  • Create basic and advanced stories for data visualization and reporting, enhancing the decision-making process.
  • Apply planning functions to forecast, budget, and plan within an integrated cloud environment.
  • Leverage basic augmented analytics features to gain deeper insights using machine learning and AI capabilities.
  • Use collaboration tools within SAP Analytics Cloud to share insights and make data-driven decisions as a team.
  • Gain proficiency in building and sharing interactive dashboards tailored to various business needs.
  • Explore the use of analytics designer to create custom analytical applications within SAP Analytics Cloud.
  • Understand best practices for maintaining data security and governance while using SAP Analytics Cloud.