Data & Analytics

Tuesday 17 June

Keynote

Supercharge Your Modernization and Unleash the Power of Business AI

Timo Elliott, SAP

9:00 AM - 10:15 AM • 17 June

Modernization isn’t just about migrating systems—it’s about rethinking business processes to stay ahead. This session explores how AI and data integration are reshaping the modern enterprise, enabling businesses to break free from silos and create intelligent, adaptive workflows. Discover how AI is transforming organizations and workflows, and learn how to stay ahead by leveraging the latest research and proven strategies. We’ll share real-world examples and insights into what works, helping you turn migration into a powerful modernization journey.

Breakout Sessions

Data Mesh, Data Fabric, and a Holistic Architecture Approach with SAP Datasphere

Dirk Morgenroth, Phoron Consulting GmbH

11:00 AM - 11:45 AM • 17 June

The session illustrates the principles underlying the Data Mesh approach and shows how a modern cloud-based data landscape can succeed in conjunction with the Data Fabric in the specific use case of SAP Datasphere. It is based on the practical implementation of such an architecture variant. 

You will: 

  • Learn the principles of Data Mesh: Domain-oriented ownership, Data-as-a-product, Self-serve data platform and Federated computational governance. 
  • Understand how the Data Fabric architectural approach can work together with Data Mesh. 
  • Gain an overview of which components of these two approaches can be implemented with SAP Datasphere.

SAP’s New Data and Analytics Solution: Enabling a New Data Economy

Alberto Sierra Pantoja, SAP

12:00 PM - 12:45 PM • 17 June

The future of data management and AI requires an integrated approach that unifies all your data and systems. See how a business data fabric, enabled by SAP’s Business Data Cloud, simplifies data landscapes and empowers organizations to access insights wherever their data resides.

What's on Your Mind - Data & Analytics

4:45 PM - 5:20 PM • 17 June

What's On Your Mind? is a dynamic discussion that aims to address the diverse and evolving concerns surrounding data strategy, data readiness for AI, data governance for AI, Business Data Cloud, and other topics. Expert moderators will facilitate the discussion, but your questions, comments, and insights will drive the group discussion. By allowing the conversation to be steered by the the group, the discussions will cater to the specific interests and needs of the participants, making it a highly personalized and informative experience. Join us to explore the critical aspects of data management and leadership in today's AI-driven landscape.

Wednesday 18 June

Case Study: LoB Agility and Efficiency: The Role of SAC and SAP Datasphere At Vestas Wind Systems A/S

Manisha Palli, Vestas Wind Systems A/S

9:00 AM - 9:45 AM • 18 June

This session shares with you how SAP Datasphere and SAC empower LoBs with data-driven insights at Vestas Wind Systems. We’ll discuss strategies for enhancing LoB agility and implementing effective data governance in matrix organizations as we have in our department. We’ll dive into use cases on how we integrate SAP and non-SAP data into SAP Datasphere and consume it in SAC, and in some cases consume SAP Datasphere into Power BI. 

You will: 

  • See how you can empower LoBs with the data-driven insights they need.
  • Understand effective Data Governance in Matrix Organizations. 
  • Hear business use cases on Integration of SAP and Non-SAP Data in SAP Datasphere.
  • Understand bi-directional consumption of data between Datasphere/SAC and consuming DS data into Power BI.

Consumer AI for Analytics? Benefiting from LLMs Beyond the Vendor Tools in Daily Professional Use 

Dirk Morgenroth, Phoron Consulting GmbH

10:15 AM - 11:00 AM • 18 June

While vendors in our industry like SAP are driving the development of advanced AI-based functionalities in their tools, numerous mature Large Language Model based services (LLM) such as ChatGPT and Claude.AI are already publicly available to consumers. The session will highlight numerous opportunities and risks associated with the use of this technology. Specific use cases for the SAP Analytics community will be highlighted and illustrated with practical examples, and prompt engineering techniques will be taught. 

You will: 

  • Understand the benefits of large language models in the context of development of SAP Analytics scenarios. 
  • Gain an overview of the most important state of the art consumer LLMs and their strengths and weaknesses.
  • Explore how those tools may support the end-to-end process from requirements engineering to ideation, design and implementation of state-of-the-art SAP Analytics solutions. 
  • Get an introduction to the most important prompt engineering techniques and examples for the analytics domain.

Case Study: Unifying the SAP Experience: How Geberit Scaled SAP BTP, Fiori, and Extensibility

Christian Reutebuch & Carina Kronenthaler, Geberit

11:15 AM - 12:00 PM • 18 June

Find out how Geberit turned early SAP BTP pilots into a unified, enterprise-grade platform that promotes cloud readiness, centralized business processes, and seamless integration across business systems. Discover how the team overhauled its Fiori environment by deploying SAP Build Work Zone and IAG, creating a central entry point to our SAP landscape and enhancing the user experience. Get practical takeaways from what succeeded—and what didn’t—as Geberit explores next steps with integration of Joule in Success Factors, SAP Datasphere for BW modernization, and taps into ABAP Cloud for extensibility. 

Whether you’re in the early phases of your SAP BTP journey or scaling existing investments, this session will equip you with actionable strategies, architectural insights, and lessons learned to guide your SAP transformation roadmap.

New Sessions Coming soon...