Tamr Unveils Enterprise Platform for Scalable, End-to-End Data Unification

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Tamr, Inc., of Cambridge, Mass., introduced a new version of its scalable data unification platform that lets enterprises continuously deliver better data to decision-makers. The company also announced the addition of GE, Roche and Toyota as customers.

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.

We’re closing the enterprise analytics gap that today separates the big questions you want to ask – and the big answers you’re looking for – from your huge investments in siloed data,” said Andy Palmer, co-founder and CEO of Tamr. “The Tamr platform puts high-value data integration and enrichment into the hands of more people, so businesses can solve the big P&L-level problems that have been starved for data.”

The new Tamr Platform radically simplifies and speeds the availability of unified data for analytics and downstream applications. It includes new features that deliver value at every stage of data unification – catalog, connect, consume – and extends scalable data unification capabilities to more people throughout the enterprise.

Catalog: A Central Inventory of Enterprise Metadata

Tamr Catalog is 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.

Connect: Easier Data Unification across Data Silos

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, user-defined functions via tools such as OpenRefine, Springbok and Data Wrangler, and unstructured data. Data analysts and data curators – both seasoned and less-experienced – benefit.

Consume: Access and Enrich Data via Google Sheets or Excel

Anyone can enrich spreadsheets or other applications with unified data from across the enterprise. 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. By being able to manipulate external data as easily as if it were their own, business analysts can use the data to resolve ambiguities, fill in gaps, enrich their data with additional columns and fields, and more.


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