Tamr Insights

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.

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.

Companies today have tons of valuable data. And much of that data is data collected by the company through interactions with their audience. This is first-party data. But there is also data collected by external entities that is equally as…

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

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.

Enhance data quality with 5 techniques: format standardization, filling missing values, deduplication, error correction, and outlier handling using data products.

From entity resolution and data governance to data quality, discovery, and integration, learn how AI helps data leaders improve master data management.

Learn what entity resolution is, why it’s important, and how businesses can use AI to reduce duplicates, improve data quality, and produce golden records.

Discover how AI, data quality, and entity resolution are reshaping data science. Explore key trends and insights in our blog post.

Discover how to escape the endless loop of bad data that leads to poor decisions, wasted resources, and missed opportunities ... again... and again... and again...

Discover what’s shaping the future of MDM in 2025 with Tamr’s insights. From AI-native solutions to real-time APIs and golden records, learn what’s in and what’s out to stay ahead and master your data with confidence.

Human-guided machine learning is a process whereby subject matter experts accelerate the learning process by teaching the technology in real-time.

The clock is ticking for traditional master data management (MDM) systems. As data becomes increasingly larger and more complex, companies must confront an uncomfortable truth: traditional, rules-based MDM solutions – once the backbone of data management – are no longer doing the job. Since they’re rules-based,...

Transform your data from naughty to nice with AI-native MDM. Learn how to avoid costly mistakes and optimize operations for success.

Experience the future of data quality with AI. Learn how Tamr blends AI and human intelligence to clean messy data.

Customer master data management (MDM) creates a unified, accurate, and persistent set of identifiers and attributes to describe a customer across platforms.