SAS has launched the SAS Rapid Predictive Modeler to help customers develop predictive models that address a broad range of business scenarios, including customer segmentation, up-sell, cros-sell, campaign management, customer acquisition and customer churn across many industries

"SAS Rapid Predictive Modeler brings predictive analytics functionality to business users looking to improve their operational decision making,” said Dan Vesset, Program Vice President of IDC's business analytics research. “This shift to self-service analytics by business users frees advanced analytics experts to focus on more complex analyses.”

The new solution allows business users to select data and choose inputs for the outcome they desire. The software automatically processes the input variables and selects the best predictive model. Easy-to-interpret charts deliver dynamic results, helping business analysts determine which predictions will be most valuable. 

“SAS Rapid Predictive Modeler ushers our ‘non’ data miners into the power of predictive analytics," said Tim Rey, Manager of the Advanced Analytics group for The Dow Chemical Company. "Early in the process, users get to see if their target outcomes are likely to be explained by the input variables they chose - saving time by providing a quick reality check. SAS Rapid Predictive Modeler also ensures best practices are used for both the data mining methodology and processes so we can maximize both accuracy and ROI.”