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How to Save $10M+ with Supplier Mastering

Over the past 5 years, Supplier Mastering has become one of the most common problems that we solve for our customers. Some people refer to this as the “Supplier 360” problem. Others just say, “we have poor visibility into our…

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Why Machine Learning Trumps Rules

Enterprise data and IT professionals often ask us: “Why do I need a solution like Tamr? We already have rules-based systems for data mastering.” It’s a valid question, and the answer is vitally important for enterprises that want to thrive…

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You Can’t Be Customer-Centric With Siloed Data

Consumer product companies live by their customers, but their data is often anything but customer-centric. In many cases, there are multiple entities that are the same person, or data is incomplete. It might be perfectly understandable that someone who bought…

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Introducing Steward: The First Issue Tracker for Data

Do you have a data quality process that actually works well? We’ve heard, “no”, almost unanimously across enterprises. Most often, data quality issues get raised through a process that looks like this: These sorts of emails provide little to no…

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Introducing Supplier Mastering as a Service

It’s no secret that enterprise data has its challenges. It’s messy, difficult to use, and can feel overwhelming to understand. Driving improved business outcomes from this data can feel like an insurmountable task. This is particularly true in procurement, which…

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How to Bring Intelligence to Taxonomies

Why are organic foods given their own aisles of the grocery store? Unlike other sections, “organic food” isn’t very descriptive; the classification can apply to anything from a banana to baby food. But customers have shown with their wallets that…

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