Big Data Analytics with R

Businesses today have a conundrum. Although the vast majority of organizations have a deep visibility into their past, thanks to traditional Business Intelligence (BI) tools that analyze the historical performance of the business, many still depend on intuition or optimism to better understand the present and future, forcing them to fly blind when mapping their company’s future strategy. Why? There are two primary reasons:

• Traditional BI tools lack forward-looking insight, rendering them useless in anticipating future performance
• Most predictive analytical tools on the market today are complex, time-consuming, and expensive

Alteryx Analytics provides deep integration of R statistics and predictive language, offering a way to bridge the worlds of ease of use and sophisticated predictive analytics.

Key Alteryx capabilities for Predictive Analytics:

• Fastest platform to build predictive analytics: Pre-built predictive tools, built using R, can be very simply integrated into analytic applications
• Fast access to all relevant data: A single workflow for preparing the dataset using Big Data saves time that’s often wasted integrating data
• Simple sharing of predictive analytics: Single-click sharing of analytic applications makes it easy to get accessible predictive analytics into the hands of decision makers