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(This article was first published on <strong><a href="http://blog.revolutionanalytics.com/2017/07/more-companies-using-r.html"> Revolutions</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
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<p>Here's a quick roundup of some case studies published recently on the <a rel="nofollow" href="https://customers.microsoft.com/en-us/home?sq=&ff=&p=0" target="_blank">Microsoft Customer Stories</a> portal, with examples of companies running R in production environments using the Microsoft stack.</p>
<p><strong><a rel="nofollow" href="https://customers.microsoft.com/en-us/story/etoro" target="_blank">eToro</a></strong>, the social trading network, uses Microsoft R Server and Azure Machine Learning so that investors can automatically duplicate market strategies and actual investment decisions of successful traders in the eToro network to use in their own portfolios.</p>
<p><a rel="nofollow" href="https://customers.microsoft.com/en-us/story/acxiom-corporation" target="_blank"><strong>Acxiom</strong></a>, the marketing analytics company, is using SQL Server R Services to build more accurate models using larger data sets, which results in more precisely targeted marketing for customers.</p>
<p><a rel="nofollow" href="https://customers.microsoft.com/en-us/story/merck-co" target="_blank"><strong>Merck</strong></a>, the pharmaceutical company, is using Microsoft R Server for Hadoop to analyze the various factors that affect the cold chain such as origin, destination, shipment route, external weather, and logistics providers. With an improved temperature-controlled supply route, Merck can reduce wastage caused by temperature fluctuations.</p>
<p><a rel="nofollow" href="https://customers.microsoft.com/en-us/story/pros" target="_blank"><strong>PROS</strong></a>, the dynamic pricing software company, uses Microsoft Azure and Microsoft SQL Server 2016 with R Services to to keep up-to-the-minute pricing accurate, competitive, and profitable.</p>
<p><a rel="nofollow" href="https://customers.microsoft.com/en-us/story/worldsmart" target="_blank"><strong>WorldSmart</strong></a>, the retail technology specialist, uses Azure Stream Analytics services and Microsoft R Server to drive several of its Machine Learning forecasts and analysis.</p>
<p><a rel="nofollow" href="https://customers.microsoft.com/en-us/story/dv01" target="_blank"><strong>dv01</strong></a>, the financial reporting and analytics platform, uses Microsoft SQL Server 2016 running on Azure Virtual Machines <a rel="nofollow" href="http://blog.revolutionanalytics.com/2017/04/dv01-uses-r.html" target="_blank">and R</a> to bring greater transparency to the consumer lending market.</p>
<p><a rel="nofollow" href="https://customers.microsoft.com/en-US/story/heartlandbank" target="_blank"><strong>Heartland Bank</strong></a>, in New Zealand, replaced SAS with Microsoft R Server and SQL Server to analyze risk, evaluate credit lines, and understand cash flows.</p>
<p>You can find more case studies at the <a rel="nofollow" href="https://customers.microsoft.com/en-us/home?sq=&ff=&p=0" target="_blank">Microsoft Customer Stories</a> portal.</p>
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