Plan & Prepare
In this session, he explores a critical yet often underestimated factor in digital transformation success: master data quality. As organisations accelerate efforts to modernise ERP landscapes and embrace AI-driven insights, the foundational role of high-quality data is frequently overlooked.
Drawing on extensive, real-world experience, he highlights how poor master data quality can significantly hinder S/4HANA migrations, creating delays, increasing costs, and introducing risk into transformation programmes. More importantly, he demonstrates how inadequate data can undermine or even derail AI initiatives, where reliable, consistent, and governed data is essential for generating meaningful insights.
The presentation provides a clear, practical perspective on the direct relationship between data quality, business outcomes, and the success of AI and ERP modernisation efforts. Attendees will gain an understanding of common data challenges, the risks of neglecting data foundations, and the strategic importance of embedding data governance and quality management early in transformation journeys.
This session offers valuable insights for organisations seeking to maximise the return on their S/4HANA and AI investments by ensuring their data is truly fit for purpose.