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"Tamr is a key component of our efforts to transform our internal data integration processes,
which require high levels of automation, precise match rates and a workflow designed for
business analysts rather than data scientists or developers."

- Wilbur Swan, Vice President, Core Entities, Thomson Reuters

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machine driven, human guided

Tamr combines machine learning and advanced algorithms with collective human insight to identify data sources, understand relationships and curate siloed data at scale.

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"Tamr’s approach gives you a critical piece of the workflow, bridging the gap
between the machine learning/automated data improvement and the curator."

- Mark Schreiber, Associate Director of Knowledge Engineering at Novartis

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A Growing Data Challenge

Organizations hope to use all possible data to drive their decisions, but the cost and complexity of connecting and preparing the massive variety of internal and external data required to power analytics and applications are unacceptably high. As a result, most organizations use less than 10% of the relevant data available.

Tamr is a data connection platform that dramatically reduces the time and effort required to connect and enrich data sources allowing data scientists, analysts and managers to focus on data driven innovation.

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The Tamr Solution

Tamr is a data connection platform that dramatically reduces the time and effort required to connect and enrich data sources.

Tamr combines machine learning and advanced algorithms with collective human insight to identify data sources, understand relationships and curate siloed data at scale.

Tamr starts by analyzing data sources—tens, hundreds or thousands—applying advanced algorithms and machine learning to connect and curate 90% or more of attributes and records. To improve precision, it taps a panel of experts who have the best knowledge of or insight into particular sources.

This unique collaborative approach allows Tamr to speed up data connection and preparation and to provide enterprise scalability.

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Big Benefits in Little Time

Enterprises have seen impressive results from using Tamr.

For example, one company was amazed to see over 15,000 data sources connected in a single view. Another that struggled with slow, manual curation processes saw Tamr automatically curate 80% of attributes. And, one organization, with a data connection and enrichment project that usually took six months with existing tools watched as Tamr finished the job in just two weeks.

Tamr starts a culture of data sharing in enterprises.

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"Tamr is helping us achieve a unified view of the customer—starting with connecting and curating disparate data sources on critical customer data from our internal loyalty program, as well as external social streams. Retailers are usually drowning in data because we no longer can afford to look at information that exists in the four walls of our company, but need to mash it up with user generated content outside our four walls to meet the needs of the customer. Tamr can turn that into strategic, proprietary intelligence in a timely manner."

- Timothy Kasbe, COO, Gloria Jeans Company

"However, perhaps the most interesting innovation in this area (data preparation) is coming from Tamr. What’s different about Tamr from other companies moving into this space are the triple store that underpins it and, even more importantly, the machine learning algorithms combined with expert sourcing that will help to automate the data curation process at scale. "

- Philip Howard, Research Director - Data Management, Bloor Research