Microsoft has acquired Revolution Analytics, a leading commercial provider of software and services for R, a widely used programming language for statistical computing and predictive analytics.
According to Joseph Sirosh, Microsoft’s corporate vice president of Machine Learning, the acquisition has been completed in order to help more companies use the power of R and data science to unlock big data insights with advanced analytics’.
Organisations across a range of sectors are looking to adopt powerful analytical models in order to help make better-informed, data-driven decisions. This requires high performance computation that is both ‘close’ to the data and scales with the needs of a business over time. Companies also need to reduce the data science and analytics gap inside their organisation in order for more employees to use and benefit from R.
Microsoft used R to develop the capabilities of the Xbox online gaming service, and the company’s data scientists apply machine learning to data from Bing, Azure, Office, as well as sales, marketing and finance departments.
“Revolution Analytics provides an enterprise-class platform for the development and deployment of R-based analytic solutions that can scale across large data warehouses and Hadoop systems, and can integrate with enterprise systems,” explained Sirosh. “Its Revolution R product line, combined with its expert advisory services and training, help people and companies realise the potential of big data using sound statistical, scientific methodologies.”
Revolution Analytics includes large banks, pharmaceutical companies, and manufacturers on its list of customers. The company contributes to open source R projects on a regular basis, and supports more than 150 R user groups globally.
“We’re excited the work we’ve done with Revolution R will come to a wider audience through Microsoft,” said David Smith, chief community officer at Revolution Analytics. “Our combined teams will be able to help more users use advanced analytics within Microsoft data platform solutions, both on-premises and in the cloud with Microsoft Azure. And just as importantly, the big-company resources of Microsoft will allow us to invest even more in the R Project and the Revolution R products.
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