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A Note to Our Customers Regarding COVID-19

While the world is forced to navigate the uncertainty of COVID-19, Tamr is committed to keeping its operations running in support of its current customers, future customers, and partners. We want to assure you that Tamr will be here to…

Mar 17, 2020 Featured Content

Why Your Manufacturing Digital Transformation Initiative is Stalled

So what’s the problem? Every manufacturer I have engaged with in the past 10+ years claims to be data-driven and almost all of them are investing in “Digital Transformation and Industry 4.0” initiatives. These initiatives have  business-critical goals like better…

Nov 14, 2019 Featured Content

Five Reasons Why You Should Buy Not Build Enterprise Software

In the age of open-source software, it’s tempting to solve your data problems by building your own tools. Here at Tamr our biggest competition is not other software companies but telecoms, multinationals and oil and gas giants who are building…

Nov 13, 2019 Featured Content

Building a Future for Life Sciences Data

After a successful early career in R&D in Silicon Valley, I spent 12 years working as a carpenter. This may sound like a big U-turn. But, while I loved the intellectual piece of science, I really loved the people aspect…

Nov 7, 2019 Featured Content

Every Enterprise Is Full of Data Silos. Here’s Why.

In a recent blog post published by Mike Stonebraker, our CTO & Co-Founder at Tamr, Inc, he sheds light on the analytical method that supports decision-making known as data mastering. This practice, often referred to as Master Data Management (MDM),…

Nov 6, 2019 Featured Content

Building a DataOps Toolkit For Your Enterprise

Many analytics teams fail because they put all their eggs in one basket. Having a sole data pipeline vendor restricts your enterprise’s ability to produce responsive, flexible, and robust analytics that fuel transformative business and operational outcomes. In order to…

Oct 31, 2019 Featured Content

Why Low Latency Matching is critical to Data Mastering at Scale

It’s common to think of data mastering as the way we turn our disparate and dirty data sources into something clean that we can use to power data applications. A few dozen sources of customer data go through the mastering…

Oct 18, 2019 Featured Content

Embracing the Data Variety Challenge: The Time Has Come.

Three years ago, my partner Mike Stonebraker was working on a research project at MIT to test the boundaries of data integration and curation. Mike and his fellow researchers wanted to see if it was possible to connect thousands or…

May 18, 2014 Insights