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.
Oil and Gas organizations face huge unwanted costs in the form of losses, penalties and compensation due to industrial accidents, taking a sizable chunk of their revenues. One of the important reasons for failures and accidents is the breakdown of key industrial infrastructure arising from ineffective management of the material base and inefficiencies in the MRO supply chain that are highly critical for the production and maintenance cycles.
More and more organizations are now looking to establish Master Data Management (MDM) implementations in order to manage their assets through informed decision-making based on reliable data and ensure optimal industrial safety across the enterprise.
About the company:
This US based company is a global leader in providing essential mechanical components for both land and offshore drilling rigs, complete drilling and well servicing rigs, as well as a comprehensive range of tubular inspection, internal coatings, drill string equipment, lifting and handling gear, and downhole drilling tools. It also offers supply chain services through distribution centers strategically located near major drilling and production sites worldwide. With over 800 manufacturing, sales, and service centers globally and annual revenues exceeding $12 billion, the company delivers customer-focused solutions tailored to meet the energy industry’s quality, productivity, and environmental needs.
The company faced significant challenges with their master data.
• Lack of consistency and standards for the master data
• Incorrect, incomplete, unclassified and outdated attribute fields of master
data High volumes of data in multiple languages
• Multiple ERP and other legacy instances across the company
• Poorly structured material descriptions
• Lack of data governance and collaboration across cross-functional divisions and locations
Solution: Material Master Data Harmonization & Ongoing Maintenance
The company implemented Verdantis Material Harmonize to cleanse and enrich its historical material master data. Using AI-powered tools and the Verdantis Content Repository, the solution classified, standardized, and eliminated duplicate materials.
Once the data was harmonized, Verdantis Material Integrity was deployed for ongoing data governance. It ensured continuous data accuracy through real-time validation, AI-driven classification, and duplication prevention, maintaining high data quality across enterprise systems.
Key Actions Taken:
Results Achieved:
By integrating Material Harmonize & Material Integrity, the company achieved a scalable, AI-powered Master Data Management framework, ensuring long-term data consistency, efficiency, and compliance.
