Supply chains are more interconnected and vulnerable than ever before. Discover 6 ways to address supply chain vulnerability and how AI-native can help.

AI-native MDM is changing data management using faster, more efficient ways to resolve entities, break down silos, and deliver high-quality data. Learn more.

It’s not a question of whether you should move to cloud MDM. It’s a question of when. Discover 6 benefits of SaaS MDM and why it’s time for an upgrade.

New Tamr features make it easier to load data, trigger real-time jobs, and master customer names across languages – saving time and improving entity matching.

Do-it-yourself entity resolution is not without its pitfalls. Discover the watch-outs with DIY approaches and why AI-native MDM is a better alternative.

Assessing your data is the first step in the MDM journey. Discover the steps to analyze data quality and how AI-native MDM helps to improve data quality faster.

Gaining a holistic, 360-degree view of suppliers is key to improving sourcing strategies and reducing costs. Discover how supplier entity resolution can help.

Smarter insights, cleaner data, better connections—discover the latest Tamr updates designed to enrich customer data, boost data quality, and improve usability.

Understanding the differences between AI-native MDM and AI-enhanced MDM is critical to choosing the right solution. Discover what makes AI-native MDM stand out.

Persistent identifiers provide a holistic view of entities across multiple data sources. See why a Tamr ID is critical for successful master data management.

Business cases for AI-native MDM need more than a list of technical features. They must also demonstrate real business value. Learn more in our how-to guide.

First-party data is collected by an organization about its audience, while third-party data is collected by external entities. Both are valuable for data analysis and decision-making.

Data enrichment improves data quality by enhancing existing, internal datasets with information from reputable, generally external sources. Learn more.

Connecting people, accounts, and interactions in B2C data uncovers revenue-generating and risk-mitigating opportunities. See how Tamr’s AI-native MDM can help.

Overcoming manual processes and fragmented data sources is critical to increase effectiveness of KYC programs. Discover how AI-driven entity resolution helps.

From hallucinations and false predictions to misleading correlations, faulty AI insights can fool you into making bad decisions. See how AI-native MDM can help.

AI-native MDM delivers accurate, consistent Customer 360 views that build trust, power personalization, and drive business success. See how it works.

Give your data a deep cleaning to clear the clutter and ensure critical entities are accurate, complete, up-to-date. Discover five ways to improve data quality.

From AI agents and technology investments to AI literacy and trustworthy data, explore five key themes from the 2025 Gartner Data & Analytics Summit. Read more.

Discover what makes Tamr AI-native and how the use of AI, at the core of the platform, is disrupting the MDM category, which has traditionally relied on rules.

Mizuho and AMN Healthcare reveal six lessons learned on their MDM journeys. Read to understand common pitfalls and how AI-native MDM helps you to overcome them.