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What is DataOps? - Open Source Insider http://hubs.ly/H05VZrx0
We're so done with DevOps. Today, it's a case of DevOps + DataOps, but what does this latter term mean? What is DataOps? DataOps describes the creation & curation of a central data hub, ...
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NEWS: Department of Homeland Security partners with Tamr to Enhance Global Travel Assessment System http://hubs.ly/H05GCX70
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Tamr's Mike Stonebraker on "rocket science" and self-service data prep http://hubs.ly/H05pllJ0
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HPE Software Builds Buyer's Journey with Tamr http://hubs.ly/H0593nv0
As an established company, HPE Software has an excellent track record of success with existing customers — but wanted to identify opportunities to improve engagement with prospects for new growth. To do this, HPE wanted to build a data-driven buyer’s journey that would go beyond the activities of individuals and capture activity at the company level. A major challenge was…
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"Better data fuel means better insight engine performance." Read Andy Palmer's new piece in Information Management.
http://hubs.ly/H04QR0D0
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On looking for the fatal flaws in the electronics supply chain, by Tamr's Matt Holzapfel in EBN http://hubs.ly/H04nmVk0
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Great interview with Moshe Kranc on big data trends in Virtual Strategy Magazine
http://hubs.ly/H05VZsx0
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Tamr's 2017 Predictions: "There will continue to be a shortage of qualified data scientists,” says Michael Stonebraker, while Ihab Ilyas predicts “Data Analytics will go vertical." http://hubs.ly/H05xtNZ0 
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Video: Very grateful to Meg Whitman and HPE for allowing us to share our thoughts on innovation with the awesome crowd at #HPEDiscover. http://hubs.ly/H05p1wP0
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New blogpost from Steve marshall: "Why is data curation undervalued now? (But won’t be in the Future…)" http://hubs.ly/H051-NK0
Last week, James Malone had a great post on this topic of data curation. He brought up a number of great points on technical and institutional challenges, and the difficulty in quantifying the value and urgency of data curation. We’ve come a long way in putting analytics front and center of discovering new therapeutics, but it’s clear we still have…
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Thomson Reuters + Tamr offers a powerful combination for Thomson Reuters customers http://hubs.ly/H04J-zl0
As we mentioned in a previous post, Tamr has a great relationship with Thomson Reuters. As an industry-leading content provider, the firm asked Tamr to implement a robust data integration solution (powered by Tamr’s human-guided machine learning) to handle its in-house data integration challenges. Thomson Reuters realized significant benefits of the Tamr implementation, including: Expediting their data integration efforts by…
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Yet more proof that innovation isn’t only for the young. Terrific piece by Jason Pontin on Tamr's Mike Stonebraker and 6 other innovators ... via MIT Tech Review http://hubs.ly/H047qVl0 
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Leverage All Data
Introduction

Tamr connects and enriches the vast reserves of underutilized internal and external data, allowing enterprises to use all their data for analytics and decision making. Tamr combines machine learning and advanced algorithms with collective human insight to identify data sources, understand relationships and curate siloed data at scale.

Leverage All Data

Organizations have vast, untapped reserves of structured and semi-structured data from internal and external sources. Instead of using just a portion of available data, Tamr lets customers analyze any and all of their sources. As Tamr connects more sources, it gets better, improving accuracy and speed. And Tamr works smoothly with the data tools and experts customers have already invested in.

A Growing Data Challenge

The cost and complexity of preparing the massive variety of internal and external data to power analytics and applications are unacceptably high. As a result, most organizations use less than 10% of the relevant data available. Tamr 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.

The Tamr Solution

Tamr starts by analyzing data sources—tens, hundreds, thousands—applying advanced algorithms and machine learning to connect and curate 90% or more of attributes and records. To improve precision, it taps experts with the best knowledge or insight on particular sources. This unique collaborative approach allows Tamr to speed up data connection and preparation and to provide enterprise scalability.

Big Benefits in Little Time

Tamr unleashes the power of 100% of your data. One Tamr customer has connected more than 15,000 data sources in a single view. Another that struggled with slow, manual curation saw Tamr automatically curate 80% of attributes. And a third saw Tamr finish a connecting and enrichment project in 2 weeks that typically takes 6 months.  

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