Alteryx and Revolution Analytics Partner
Alteryx and Revolution Analytics today announced they have joined forces to make R-based predictive analytics more accessible and scalable for the enterprise. Each company will bundle the other's technology with its offerings and will continue to expand integration in future software releases. By combining the easy-to-use Alteryx analytics platform with the production-ready Revolution R Enterprise solution, organizations can bypass the time and cost impacts of complex and training-intensive legacy analytics solutions built on proprietary technology.
"Business is being reinvented by how modern analytics are delivered. However, the majority of organizations are challenged by the usability and scale of analytics tools at their fingertips," said George Mathew, President and COO of Alteryx. "This is why the Alteryx - Revolution Analytics partnership is broadening the aperture of R-based predictive analytics. Our mission is to get a modern experience into the hands of over three million data analysts to solve today's analytic challenges."
Starting in Q1 2014, Alteryx will include a copy of Revolution R Enterprise Workstation with each license of Alteryx Professional and Alteryx Personal Editions, its two core Designer products targeted at line-of-business data analysts. Revolution Analytics will include a copy of Alteryx Personal Edition with every license of Revolution R Enterprise Server, and Alteryx Project Edition, a free version of the Alteryx Designer, with its Workstation product. The two companies will also engage in deeper product integration, enabling R-based analytics produced in Alteryx, via easy drag-and-drop tools, to be processed faster by Revolution Analytics' highly scalable R in a variety of compute contexts – locally deployed R, server-deployed R or through in-database analytics in Teradata 14.10. R has quickly gained acceptance among data scientists and is emerging as the enterprise and academic standard for statistical computing. It is now the number-one statistical language, with over two million users worldwide.
Broader enterprise acceptance and usage of predictive analytics has faced two obstacles. First, complex, difficult-to-use and costly solutions from legacy vendors like SAS have made it prohibitive to put sophisticated analytics directly in the hands of analysts in departments such as Marketing and Operations. Secondly, the absence of enterprise readiness of newer solutions has slowed the adoption of predictive analytics. This new partnership addresses these issues by providing data analysts with a simple drag-and-drop environment from Alteryx to build R-based analytics, and the scalability of Revolution R Enterprise meets production-grade requirements.
"R holds significant potential for businesses struggling to fill the analytics skills gap," said Tony Cosentino, VP and Research Director at Ventana Research. "The software industry has picked up on this potential, and the partnership between Revolution Analytics and Alteryx is a good example. The companies address two of R's top adoption challenges, scalability and usability, by providing their customers with an integrated, commercialized solution."
