Frustrated with slow performance in SAP Analytics Cloud? This guide is your answer! Learn the basics of solution performance and optimization and then start making your adjustments: get the story builder and analytics designer apps running smoothly, fine-tune your backend settings, and follow best practices for viewing dashboards. With detailed examples of performance improvements throughout, this book has everything you need for an optimal SAP Analytics Cloud experience!

Optimize the performance of SAP Analytics Cloud applications and dashboards
Enhance the way story builder and analytics designer apps run, build efficient models, and make backend improvements
Learn to measure, test, and monitor performance

Basic Performance Concepts
Understand the basics of performance: why it’s important, who manages it, and how it’s impacted by design concepts. Define your specific metrics and goals and then learn how to measure, test, and monitor performance.

Optimization
Get SAP Analytics Cloud running smoothly! Follow step-by-step instructions for optimizing different SAP Analytics Cloud tools, including the story builder, modeler, and analytics designer. Configure backend and tenant settings for improved functioning.

Practical Examples
See real-life performance examples in action. Use practical scenarios to build your own optimized dashboards for different scenarios: acquired data, live data, and the analytics designer.

User experience
Dashboards
Performance analysis
Story building
Model building
Analytics designer
Backend and tenant optimization
Viewing optimization
Acquired data
Live data connections
Best practices

About the Author

Erik Bertram started his professional career at SAP in 2016, where he worked as a JavaScript developer within the planning area of SAP Analytics Cloud. Today, he leads the Operations and Services team of the SAP Business Technology Platform Experience organization. Before joining SAP, Erik received his PhD in theoretical astrophysics from Heidelberg University. Since 2020, he has been a professor of digital business management at Fresenius University in Heidelberg.

Carl Dannenhauer joined SAP in 2020 and is currently a data scientist in the SAP Business Technology Platform design organization. He has spent his professional career fostering data-driven decisions by building advanced dashboards and generating actionable insights by analyzing user feedback. As an SAP Analytics Cloud expert, his focus lies in developing effective and easy-to-use dashboards. Carl has a background in business informatics.

Melanie Holzapfel is a certified IBCS consultant and works as a data scientist in the SAP Business Technology Platform experience organization at SAP. Since she joined in 2019, she has been responsible for analyzing customer feedback in order to increase adoption and to improve the products. She is an expert in building dashboards that increase efficiency and enable data-driven and confident decision-making. Before her professional career at SAP, she studied physics at the Heidelberg University and at the University of York.

Sandra Loop joined SAP in 2016 and is a user researcher in the SAP Business Technology Platform design organization. She has been a user experience designer and user researcher for over 25 years. Prior to joining SAP, she was a developer and UX designer for a data visualization company. She was also a product manager, where dashboards were a major component of the product’s user interface. Sandra believes that a good user experience is crucial for product success and that good performance is an important factor of the user experience.

Stephanie Range joined SAP in 2021 and is currently a data scientist in the SAP Business Technology Platform design organization. Before joining SAP, Stephanie worked as a data scientist in a pharma company, where she developed and automated statistical methods, configured data bases, and validated business processes. Today, her expertise lies in optimizing and building SAP Analytics Cloud dashboards. She holds a master’s degree in physics.

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