SimpleMDG at SAPinsider Las Vegas 2026

Without trusted, auditable master data, execution risks appear late, and delivery confidence declines. Most SAP AI initiatives do not fail due to technology, but because governance and data readiness are addressed too late.

Inconsistent or poorly governed master data, or excessive customization beyond Clean Core standards, prevents AI models from scaling. This slows S/4HANA programs, creates friction in RISE with SAP transformations, increases audit exposure, and reduces executive confidence.

Meet SimpleMDG at the Bellagio to explore real-world examples of automated governance that remove data barriers and ensure your AI and S/4HANA initiatives are credible from the start. Discuss your strategy with our experts and learn how to:

Make AI auditable and scalable: Learn why AI success relies on data governance, not just tools, and how trusted master data enables scalable AI in production.
Enable a true Clean Core: Learn how master data governance on SAP BTP reduces customization challenges that can disrupt S/4HANA migrations and RISE with SAP transformations.
Reduce SAP delivery risk early: Identify data readiness gaps before they impact project timelines and prevent compliance risks and loss of executive confidence.