Three days. Real-world SAP strategies. Hands-on learning. A community that gets it. Don’t miss your chance to be part of it.
| Building a Data Readiness Foundation for SAP S/4HANA Cloud | ||
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Data quality issues discovered after go-live are among the most costly and disruptive problems in any SAP S/4HANA Cloud migration. Understand what cloud-readiness means for enterprise data, including the assessment, cleansing, and validation tasks required to protect go-live and long-term system performance. Key Learning Objectives:
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| Case Study: Clean Data, Confident Migration: Real-World Lessons for SAP S/4HANA Readiness | ||
Norfolk Southern knew from the start that clean, reliable data would be the cornerstone of a successful SAP S/4HANA transformation. This session shares how the organization made data cleansing a strategic priority, from implementing scalable data profiling, cleansing, and validation processes to establishing sustainable governance models to ensure lasting data integrity. Understand the business impact of clean data in SAP S/4HANA and get tips to resolve common data quality issues in the ECC environment pre-migration. Plus, discuss key metrics the company used to measure data quality improvements and support continuous monitoring. Key takeaways:
|  | Zaineb Muneeb, Norfolk Southern |
| Case Study: Integrate Before You Migrate: The Planning Decisions Behind Eneco's 60% TCO Reduction | ||
In this session, Eneco walks through the planning-phase decisions that shaped their SAP S/4HANA migration: how they sequenced the move from SAP PI/PO to SAP Integration Suite, what it took to modernize their integration architecture, and how they restructured integration governance to sustain speed and flexibility post-migration. Key Learning Objectives:
|  | Marco Verhoef, Eneco B.V. |
| Case Study: Reimagining Enterprise Reporting with SAP and Databricks | ||
Establishing a scalable reporting foundation is essential to sustaining SAP ERP transformation and enabling ongoing business evolution. In this session, Norfolk Southern shares how it established an enterprise-wide reporting foundation by integrating SAP Analytics Cloud (SAC), SAP Datasphere, and Databricks into a scalable architecture that supports finance, operations, and supply chain. Key Learning Objectives:
| | Zaineb Muneeb, Norfolk Southern |
| Data and Integration Readiness | ||
Exchange perspectives on how organizations are assessing data, process, and integration readiness ahead of SAP S/4HANA and cloud ERP. Learn how peers are identifying hidden complexity, defining ownership across business and IT, and prioritizing foundational work to support transformation. Gain insight into where efforts are underestimated, what is being addressed first, and how others are avoiding downstream issues tied to legacy systems. | ||
| Get to Know SAP's Updated Platform Strategy in the Age of Agentic AI | ||
In the age of agentic AI, SAP’s platform strategy gets a major upgrade. See how the unified platform evolves and understand the role of the platform within SAP’s overall product strategy. Learn how the platform can support both your move into the cloud and to a comprehensive AI strategy. By attending this strategy session you will hear about:
|  | Uli Eisert, SAP |
| Masterclass: Designing the Backbone: SAP S/4HANA Architecture, Integration & Cloud Readiness | ||
In this 90-minute hands-on lab, attendees will work through guided exercises to design and assess a technical architecture that supports performance, agility, extensibility, and ongoing innovation in SAP S/4HANA. The session focuses on how architecture, integration, user experience, and custom code decisions impact system performance, scalability, and flexibility in a cloud operating model, helping teams identify constraints, expose tradeoffs, and define what must be addressed to move forward. Attendees will:
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| Masterclass: Enabling AI-Driven Integration to Unify Hybrid Landscapes | ||
Join this 90-minute masterclass to learn about the latest AI innovations to boost developer productivity and achieve operational excellence. Participants will get expert-guided, hands-on experience leveraging SAP Integration Suite to unify SAP and non-SAP environments. Plus, explore automated migration tools and options for leveraging Edge Integration Cell to manage APIs and run integration scenarios within your private landscape. Whether you’re planning your move from SAP Process Orchestration or aiming to streamline hybrid workflows, this session gives you the practical skills to accelerate your digital transformation. |  | Finny Babu, SAP SE |
| Modernize Your Integration Landscape to Prepare for AI | ||
As enterprises look ahead to AI-enabled business processes, many are finding that fragmented integration landscapes can slow innovation, increase risk, and complicate SAP S/4HANA and cloud migration efforts. This session explores how organizations can take practical steps to simplify their integration environments, modernize architecture with SAP Integration Suite, and build a foundation that supports cloud, SAP S/4HANA, and AI-driven transformation. Key learning objectives:
|  | Niki Scaglione, SAP |
| Planning Your Analytics Architecture for SAP S/4HANA Migration | ||
Moving to SAP S/4HANA requires more than a technical lift and shift — it is a decision point for how your organization will consume, extend, and govern analytics going forward. Understanding how SAP S/4HANA embedded analytics works alongside tools like SAP BusinessObjects and SAP BW before migration begins helps teams avoid costly rework and ensures reporting capabilities are ready at go-live. This session gives you the foundational knowledge to make informed analytics architecture decisions as part of your migration planning process. Key Learning Objectives:
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