Master Data Quality Management and Reporting

Organizations across APAC are accelerating investments in SAP Business AI, S/4HANA transformation, and enterprise automation. However, fragmented master data, manual governance processes, and limited visibility continue to create operational challenges and increase the risk of transformation.

As SAP introduces the Autonomous Enterprise vision, organizations need practical approaches to operationalize trusted data, automate governance processes, and improve business execution at scale.

Join this session to learn how SAP organizations are improving data quality, simplifying governance operations, and building the trusted foundation required for future AI and automation initiatives.

• Detect and resolve duplicate, incomplete, and inconsistent master data across customer, supplier, product, and finance domains before they impact business operations and transformation initiatives.
• Simplify and scale master data operations through automated workflows, business rules, approvals, and mass-processing capabilities.
• Monitor governance performance and data quality trends across SAP and non-SAP systems through centralized dashboards, reporting, and business visibility.