Supplier Data Mastering Solution Overview
See how Tamr transforms fragmented supplier data into accurate, real-time golden records that improve procurement efficiency and drive supply chain resilience.
See Supplier Data Mastering in Action
- AI-native MDM unifies fragmented supplier records and removes duplicates across systems
- Real-time mastering delivers up-to-date records to streamline sourcing and onboarding
- Seamless data enrichment from sources like Dun & Bradstreet ensures complete, accurate profiles
- Scalable automation manages millions of records with less manual effort and lower cost
See Supplier Data Mastering in Action
- AI-native MDM unifies fragmented supplier records and removes duplicates across systems
- Real-time mastering delivers up-to-date records to streamline sourcing and onboarding
- Seamless data enrichment from sources like Dun & Bradstreet ensures complete, accurate profiles
- Scalable automation manages millions of records with less manual effort and lower cost
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Supplier data is scattered, inconsistent, and difficult to manage across platforms.
Critical information about vendors and spend remains fragmented—driving up costs, damaging negotiating leverage, and making the supply chain vulnerable to disruptions.
Organizations face four pressing challenges caused by poor supplier data quality:
- Reduced procurement efficiency.
- Reduced visibility into supplier spend.
- Vendor onboarding delays.
- and Supply chain risks.
Tamr addresses these challenges with a unique approach.
Our AI-native master data management platform uses patented AI and machine learning to unify fragmented data into ‘golden records,’ eliminating duplicates and errors and improving quality and completeness.
Tamr continuously cleans, curates, and enriches supplier data with authoritative sources like Dun & Bradstreet—ensuring supplier records are complete, current, and ready to use in real time.
And because it’s built for scale, Tamr easily manages millions of records, reducing manual effort and the need for deep technical expertise—saving money and accelerating time-to-value.
Société Générale used Tamr to unify more than 100 supplier data sources, reduce manual data preparation by 90%, and deliver greater than 80% classification accuracy for improved spend analytics.
With Tamr, organizations turn messy, siloed supplier data into a reliable foundation for sourcing strategies, supply chain resilience, and long-term savings.
Ready to see it in action? Schedule a demo today.