Tamr Named a Cool Vendor in Gartner’s “Cool Vendors for Data Integration and Data Quality, 2015” Report

Provides Technology for Automated Mapping of Enterprise Information Assets and Relationships Across Data Silos

CAMBRIDGE, Mass., April 14, 2015 – Tamr, Inc., today announced that it has been recognized by Gartner as a Cool Vendor in Data Integration and Data Quality for 2015, in its report published on April 8, 2015. Tamr offers an enterprise data-unification platform that dramatically reduces the time and effort required to connect and integrate diverse, siloed data for business analytics.

“The escalating complexity and diversity resulting from proliferating internal and external, big and small data sources makes it increasingly difficult for organizations to understand the information most relevant to drive forward their digital business agenda,” according to the Gartner report authors. “Organizations have an increasing need to understand not only the data within these diverse data sources, but also the relationships across them.”

“The Tamr Platform is delivering solid ROI for customers like GE, Novartis, Roche, Thomson Reuters and Toyota Motor Europe, and we believe being named a Gartner Cool Vendor validates our approach,” said Nidhi Aggarwal, strategy lead for Tamr. “By connecting all their data sources efficiently using Tamr, customers are achieving operational savings and strategic business value from customer data integration, procurement data unification, clinical data standardization and other use cases.”

Tamr combines machine learning algorithms with collective human insight to identify sources, understand relationships and curate the massive variety of silo-ed data.

Advanced machine learning algorithms automatically match attributes and entities across the full range of data sources, whether large or small; structured, semi- or unstructured; internal or third party – often accomplishing up to 90% of the task without human intervention. When human intervention is necessary, Tamr generates questions for data experts, aggregates responses and feeds them back into the system. This feedback enables Tamr to continuously improve its accuracy and speed over time.

The Gartner report authors also offered this recommendation: “Explore the limits of automation and machine-learning in data discovery within big data sources, and the data relationships across them, to address the exponential rise in big and small data sources.”

The Gartner Cool Vendor recognition caps a year of awards and accolades for Tamr since it launched in May 2014, including:

About Gartner’s Cool Vendor Selection Process

Gartner, Inc., “Cool Vendors in Data Integration and Data Quality, 2015,” was written by authors Saul Judah, Eric Thoo, Ted Friedman, Andrew White and Alan D. Duncan, and published in April 2015. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

About Tamr, Inc.

Tamr, Inc., catalogs, connects and publishes the vast reserves of underutilized internal and external data using a combination of machine learning with human guidance so enterprises can use all their data for analytics. Tamr was founded in 2013 by big-data serial entrepreneurs Andy Palmer and Michael Stonebraker, who previously co-founded Vertica Systems (acquired by HP); Ihab Ilyas of the University of Waterloo; George Beskales; Daniel Bruckner; and Alex Pagan.

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