With the shortage of data scientists, today's modern business analysts are being challenged to become "citizen data scientists," and use predictive analytics to find hidden value within big and disparate data. However, the problem is that these business analysts often lack the statistical programming skills to navigate the data.
To help facilitate better analytics among business analysts, RapidMiner, provider of an open source predictive analytics platform, has formed a partnership with business analytics software vendor Tableau. The collaboration enriches Tableau data visualizations with statistically-based insights from RapidMiner, allowing business analysts to make their everyday decisions with a greater degree of confidence.
Easy-to-use, drag and drop software from RapidMiner enablesTableau users with limited data science skills to generate their own predictive results and integrate them into their analytic visualizations. Predictive analytics provides business analysts with the ability to glean new, deeper insights from their data to better understand customers, business performance and operational efficiencies.
"RapidMiner provides Tableau customers with the ability to extend upon the strong analytics capabilities already in Tableau and leverage the value of predictive analytics within their data visualizations to produce new insights that lead to better actions,” said Dan Kogan, director of product marketing at Tableau. “At the same time, we're very excited to open up the rich predictive models RapidMiner users create to a much wider audience of business users for maximum business impact."
For more information about the RapidMiner extension for Tableau, go to www.rapidminer.com.