Case Study: Siemens achieves higher procurement data quality with Creactives

Siemens improves procurement data accuracy to over 90% with Creactives

Siemens, a major industrial corporation, faced significant data quality challenges within its global Procure-to-Pay (P2P) and SAP systems. Errors in ESN categorization were affecting free-text orders, catalogs, and material master data, leading to inefficient purchasing processes and unreliable reporting. To address this, Siemens partnered with vendor Creactives for its AI-powered data governance and automated categorization solutions.

Creactives implemented an Enterprise Data Space architecture to create governed Semantic Digital Twins of materials, spend, and suppliers. This solution automated and supervised categorization across Siemens' complex landscape, achieving over 90% data accuracy for purchase requisitions and a 60% increase in categorized new suppliers. The results for Siemens included minimized purchasing errors, scalable automation, improved spend visibility, and increased operational efficiency.

Siemens