Decoding the S/4HANA Move: Building a Foundation for AI, Analytics, and Continuous Innovation
Moving to S/4HANA is often positioned as a technical upgrade—but is it really enough to support AI, advanced analytics, and continuous innovation?
This webinar explores how S/4HANA reshapes data structure, governance, and long-term innovation readiness. Learn why AI and analytics fail without strong data foundations, how migration decisions impact future flexibility, and how to avoid repeatedly rebuilding your data landscape. Discover how designing governance and lifecycle management upfront enables continuous analytics, automation, and AI value.
Key Takeaways
- How S/4HANA data foundations influence AI and analytics outcomes
- Why governance is critical to sustaining innovation at scale
- Common migration decisions that limit future flexibility
- How to align ERP data with evolving analytics and AI needs
- What it takes to move from a one-time migration to continuous innovation
Who Should Watch
- CIOs, CTOs, and Digital Transformation Leaders
- SAP S/4HANA Program and Platform Owners
- Data, Analytics, and AI Leaders
- Enterprise Architects and Technology Strategists
- Business and IT stakeholders planning long-term innovation on SAP

