Poor supplier master data quality—such as duplicate vendor records, missing purchasing organization assignments, and inconsistent payment terms—can disrupt procurement operations, create financial risk, and undermine regulatory compliance. This session presents a practical industry use case demonstrating how organizations can rapidly stabilize supplier data through targeted remediation while implementing scalable data governance controls. Attendees will gain insights into balancing quick operational fixes with long-term master data governance to restore trust in procurement data.
This use case focuses on addressing critical supplier master data quality issues in procurement, such as duplicate supplier records, missing purchasing organization assignments, and inconsistent payment terms. These issues create operational delays, financial risks (e.g., duplicate payments), and compliance exposure in regulated supply chains. The proposed approach combines immediate data remediation (deduplication, bulk corrections) with stronger data governance controls and validation mechanisms to restore trust in supplier data and prevent future errors.