fbpx

SAP S/4 HANA Embedded Analytics Courses

Expand knowledge in the area of SAP Analytics and make everyday work easier.

SAP S/4HANA Embedded Analytics offers a powerful platform for real-time analysis and decision support that is deeply integrated into the SAP S/4HANA system.

Our two courses "Discover SAP S/4HANA Embedded Analytics" and "SAP S/4HANA Embedded Analytics: Maximizing Insights and Performance" are designed to provide you with a comprehensive understanding and practical skills in the use of this innovative technology.

In the first course you will receive a basic introduction to the concepts, tools and techniques for creating and using reports and visualizations.

The second course builds on this and offers in-depth insights into advanced analytics techniques, complex data modeling and the optimization of analytics functionalities. Both courses combine theoretical knowledge with hands-on exercises to ensure that you are able to fully exploit the potential of SAP S/4HANA Embedded Analytics and develop customized, powerful analytics solutions for your business.

SAP S4HANA Embedded Analytics_quadrat

Course plan 1: Discover SAP S/4HANA Embedded Analytics

This course provides a basic introduction to the embedded analytics capabilities of SAP S/4HANA. Participants will learn the basic concepts, tools and techniques required to create and use reports and visualizations in SAP S/4HANA.

  • Understanding of the basic concepts and functions of SAP S/4HANA Embedded Analytics
  • Ability to navigate through the various analysis tools and dashboards
  • Learning how to create reports and visualizations
  • IT professionals and developers
  • Business analysts and controllers
  • SAP consultants and system integrators
  • Users of SAP S/4HANA
  • Overview and architecture of SAP S/4HANA Embedded Analytics
  • Differences to traditional BI solutions
  • Advantages and possible applications
  • Data models and CDS views
  • Analytical Queries and Fiori Analytical Apps
  • Key performance indicators (KPIs) and reports
  • Introduction to SAP Fiori Launchpad
  • Use of smart business cockpits and dashboards
  • Application of Fiori Analytical Apps
  • Basics of reporting with CDS views
  • Creating analytical queries
  • Introduction to SAP Analytics Cloud (SAC) for visualizations
  • Practical examples and exercises
  • Summary and repetition of the course content
  • Questions and discussions
  • Final examination and certification

Course materials:

  • Detailed course materials
  • Practical exercises and lab sessions
  • Access to SAP S/4HANA demo installations

Prerequisites:

  • Basic knowledge of database management and SQL
  • Experience with SAP systems an advantage, but not essential

Course Plan 2: SAP S/4HANA Embedded Analytics: Maximizing Insights and Performance

This course offers in-depth insights into the analysis techniques of SAP S/4HANA Embedded Analytics. Participants will learn about complex data modeling and how to customize and extend analytics functionalities. The course provides best practices from the field to maximize insights and performance.

  • In-depth knowledge of analysis techniques in SAP S/4HANA Embedded Analytics
  • Ability for complex data modeling
  • Adaptation and expansion of the analysis functionalities
  • Application of best practices for performance optimization
  • IT professionals and developers
  • Business analysts and controllers
  • SAP consultants and system integrators
  • Advanced users of SAP S/4HANA
  • Advanced use of CDS views
  • Creation and customization of analytical queries
  • Use of complex key performance indicators (KPIs)
  • Analysis of real-time data
  • Use of predictive analytics
  • Practical examples from various industries
  • Data modeling with CDS views and ABAP
  • Creation of hierarchies and aggregations
  • Integration of external data sources
  • Customization of Fiori Analytical Apps
  • Extension of Smart Business Cockpits
  • Use of the SAP Analytics Cloud (SAC) for advanced analyses
  • Implementation strategies and project management
  • Case studies and success stories
  • Tips and tricks for avoiding errors
  • Optimization of data models and queries
  • Use of indices and partitioning
  • Monitoring and performance tuning
  • Summary and repetition of the course content
  • Questions and discussions
  • Final examination and certification

Course materials:

  • Detailed course materials
  • Practical exercises and lab sessions
  • Access to SAP S/4HANA demo installations

Prerequisites:

  • Basic knowledge of database management and SQL
  • Experience with SAP systems an advantage, but not essential

How much are the participation fees?

The participation fee depends on the seminar. Please ask for the price without obligation.
Our training courses are mainly offered in German. However, we can also offer the training in English or other languages upon request.

Reserve your place!

  • We also offer regular training in small groups.
  • We are an SAP training partner - so you will also receive a globally recognised certificate.
  • On site or online possible
 
CONTACT
Contact person for training

KNOWLEDGE

Useful information

Wiki What is R

What is R?

R is a programming language designed for statistical applications, which enjoys a high degree of diffusion especially in the field of Data Science...

Wiki SAC GCP Excelimport

SAC & GCP Excel import

The article describes the SAC & GCP solution, with which Excel plan data can be easily and conveniently imported into SAP Analytics Cloud (SAC) models. With the help of Excel templates and a user-friendly web application, the data is prepared locally and automatically transferred to the SAC model via the SAC Data Import API.

Cover image Wiki What is Artificial Intelligence (AI) (1)

What is Artificial Intelligence (AI)?

Artificial Intelligence stands for artificial intelligence (AI). And since there is no universally accepted philosophical definition of intelligence, different views of what artificial intelligence is can also be found...

Cover image Wiki What is Machine Learning (ML)?

What is Machine Learning (ML)?

Machine Learning is the answer to one of the questions to a weak Artificial Intelligence. It is a fundamental concept to study algorithms that automatically improve themselves based on experience (using data)...

GDPR Cookie Consent with Real Cookie Banner