Industry: Food & Confectionery
Company Size: 100,000+ employees | 300+ sites | $35B+ annual revenue
This case study explores how a leading global food and confectionery manufacturer transformed its master data management (MDM) strategy with Verdantis. With operations spanning 75+ countries and 300+ sites, the company faced challenges related to data silos, inconsistencies, and high manual intervention costs. By implementing Verdantis’ AI-powered MDM solution, they achieved cleaner, standardized, and more accessible data, leading to improved efficiency, reduced costs, and smarter decision-making.
– Data Complexity & Fragmentation – Multiple SAP instances, different taxonomies, and 10+ languages led to inefficiencies.
– Duplicate & Inconsistent Data – Supplier and product records were duplicated across regions, causing procurement errors.
– Lack of Data Governance – Inconsistent data entry and manual intervention resulted in unreliable reporting.
– High Operational Costs – Manual data cleansing and consolidation were time-consuming and expensive.
– Learn how AI-powered MDM eliminates data silos and inconsistencies
– See how automation reduces manual intervention by 80 percent
– Discover how a global enterprise achieved real-time, accurate reporting
– Understand the impact of data governance on procurement and inventory management
– Chief Data Officers (CDOs) & Data Managers – Looking to optimize enterprise-wide data strategies
– IT & ERP Leaders – Managing complex data structures across multiple systems
– Procurement & Supply Chain Professionals – Seeking cost savings through improved data accuracy
– Manufacturing & Operations Leaders – Interested in enhancing efficiency with clean, reliable master data
Download this case study to see how Verdantis’ AI-powered MDM solution can help your organization overcome data challenges and drive operational excellence.
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