More Companies using R

(This article was first published on Revolutions, and kindly contributed to R-bloggers)

Here's a quick roundup of some case studies published recently on the Microsoft Customer Stories portal, with examples of companies running R in production environments using the Microsoft stack.

eToro, 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.

Acxiom, 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.

Merck, 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.

PROS, 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.

WorldSmart, the retail technology specialist, uses Azure Stream Analytics services and Microsoft R Server to drive several of its Machine Learning forecasts and analysis.

dv01, the financial reporting and analytics platform, uses Microsoft SQL Server 2016 running on Azure Virtual Machines and R to bring greater transparency to the consumer lending market.

Heartland Bank, in New Zealand, replaced SAS with Microsoft R Server and SQL Server to analyze risk, evaluate credit lines, and understand cash flows.

You can find more case studies at the Microsoft Customer Stories portal.

To leave a comment for the author, please follow the link and comment on their blog: Revolutions.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...