Organizations invest millions in SAP S/4HANA transformation, yet many programs underestimate the impact of poor master data. Duplicate records, inconsistent governance, incomplete business ownership, and weak data quality often surface only after migration begins, leading to delays, rework, increased costs, and operational disruption.

Leading organizations embed master data governance throughout the SAP transformation lifecycle, not as a one-time migration activity, but as a continuous operating model. By validating data quality, establishing governance processes, defining business ownership, and preparing for Clean Core before implementation begins, they reduce project risk, accelerate business adoption, and create a trusted foundation for future AI and automation.

Master data isn't static. New customers, suppliers, products, and financial records are created every day. While data cleansing is a one-time project, governance is what prevents the same issues from returning. The longer governance is delayed, the greater the cost and complexity of remediation during and after migration.

Access your checklist to:

• Validate Data Readiness: Identify critical master data issues before they impact migration timelines, user adoption, and business operations.
• Establish Governance Early: Build the governance processes, business ownership, and approval workflows needed to support a successful SAP S/4HANA transformation.
• Enable Clean Core & AI Readiness: Evaluate the governance capabilities required to support SAP Clean Core principles, trusted business data, and future AI initiatives.