Master Data Whitepapers

Expert Guides on Data Governance & AI

Explore the transformative power of AI-driven Master Data Management (MDM) and Master Data Governance (MDG) solutions across various industries. Through in-depth analysis, we showcase how organizations in food and beverage, manufacturing, minerals and mining, chemicals, oil and gas, and natural resources can optimize their data processes, enhance data quality, and ensure compliance.

Our whitepapers provide valuable insights into the challenges businesses face and the innovative strategies we use to address them. With a focus on AI and automation, we demonstrate how our solutions enable data governance, reduce operational risks, and support smarter, data-driven decision-making.

Explore Our Whitepapers to gain expert knowledge on how Verdantis is helping industries achieve data excellence.

Verdantis’ research with 1,900 global operations leaders highlights MRO, inventory, and data-quality challenges, offering insights on leveraging structured data, AI,
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Mergers & Acquisitions Boosting Synergies with Material MDM

Mergers & Acquisitions Boosting Synergies with Master Data Management Mergers and acquisitions are age-old strategies for growing the company or

MMDM 2.0: Driving Environmental Excellence with Next-Generation Master Material Data Management

MMDM 2.0: Driving Environmental Excellence with Next-Generation Master Material Data Management MMDM Project to drive ERP Implementation Success in a

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MRO Master Data Management for a leading $12Bn Oil and Gas company

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.

Material Master Data Challenges

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 & Results Achieved

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:

  • Classified 150,000 materials into 1,210 UNSPSC and 500+ HTS codes
  • Parsed and normalized unstructured material attributes
  • Eliminated duplicates and enriched material descriptions
  • Established real-time data governance and approval workflows
  • Created a centralized repository for cross-functional data access

Results Achieved:

  • Improved Data Accuracy – Eliminated duplicate and inconsistent material records
  • Enhanced Classification – Standardized materials with UNSPSC & HTS codes
    Better Inventory Management – Optimized stock visibility and usage
  • Faster Procurement & Compliance – Enabled seamless material search & regulatory adherence
  • Sustainable Data Governance – Ensured ongoing accuracy with AI-driven maintenance
  • Informed Decision-Making – Centralized data repository for improved operational efficiency

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.