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Tamr - leverage data from all sources intelligently

Written by Brandon Klein | May 20, 2014 1:14:22 AM

opportunity from variety

Instead of using just a portion of available data, Tamr will let you analyze any and all of your sources. And, as Tamr connects more sources, it gets better, improving its accuracy and speed of automation.

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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.