Tamr Updates Enterprise Data Unification Platform

Tamr, Inc., has introduced a new version of its scalable data unification platform that lets enterprises continuously deliver better data to decision-makers. Founded in 2013 by big data entrepreneurs Andy Palmer and Michael Stonebraker, Tamr is based in Cambridge, Mass.

In a related announcement, Tamr also unveiled two data-unification solutions for specific, high-value data variety challenges: Tamr for CDISC and Tamr for Procurement. Tamr for CDISC enables users to  automatically convert, validate, and package clinical study data according to the latest CDISC standards, while Tamr for Procurement enables a comprehensive analysis of procurement opportunities that leverages data across all enterprise systems. 

Tamr solutions are designed to help enterprises weed through and organize enterprise data to get high-impact data and analysis into the hands of decision-makers.

According to Tamr, the new platform simplifies and accelerates the availability of unified data for analytics and downstream applications.  It includes new features for cataloging, connecting, consuming data - and extends unification capabilities to more people throughout the enterprise. 

With this release the company adds Tamr Catalog, a new tool for automatically cataloging in a central, platform-neutral place all metadata available to the enterprise as it seeks to answer its big questions. The CIO and CFO can now view an inventory of all of the company’s metadata organized by the logical business entities, versus only 20% to 30% of metadata enumerated based on how they are stored.

In addition,improvements in scalable data connection simplify and improve data unification, enabling it to be applied to more kinds of data and business problems. Improvements include easier matching of multiple entities by taking into account relationships between them; and enhanced support for Oracle, Hadoop, unstructured data, and user-defined functions via tools such as OpenRefine, Springbok and Data Wrangler.

And finally, via new APIs and a new spreadsheet plug-in, analysts can find, map and match external data with their internal data in Google Sheets or Excel.  Tamr handles the mechanics of data matching and enrichment, prompting users with suggestions and then auto-populating their spreadsheets with new and changed data based on their choices. This enables users to manipulate external data as easily as if it were their own, in order to resolve ambiguities, fill in gaps, and enrich their data with additional columns and fields.

The company also announced the addition of GE, Roche and Toyota as customers.