SAS launches do-it-yourself predictive analytics for business users
Quick, automated data mining models enable better decisions
CARY, NC (Sep. 02, 2010) – Organizations that arm business analysts with SAS® Rapid Predictive Modeler empower a whole new group of employees to determine the best actions for reducing risk and improving organizational performance. SAS, the leader in business analytics software and services, is making its award-winning predictive analytics even more pervasive in the launch of SAS Rapid Predictive Modeler. SAS provides a quick, easy and effective way to develop predictive models that address a broad range of business scenarios, including customer segmentation, up-sell, cross-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.”
Predictive analytics made simple
When nonstatisticians can generate models in a few simple steps, more people can contribute to solving problems and seizing opportunities. Business users just 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.”
Forward-thinking organizations have long reported significant success using SAS® Enterprise Miner™, which analytic professionals can use to further refine and customize the models generated by business users. SAS Rapid Predictive Modeler integrates with SAS Model Manager for central management, promotion and performance monitoring. It also integrates with SAS Scoring Accelerator, allowing the models to be deployed and then executed directly within the database environment to further increase speed.
"Organizations are constantly looking for ways to speed up both the development and deployment of analytic applications. SAS Rapid Predictive Modeler provides key functionality in both areas," said Mike Rote, Teradata Corporation's Director of the SAS and Teradata Center of Excellence. “The models generated by SAS Rapid Predictive Modeler can be deployed in-database for quicker utilization of analytic results and faster decisions. This new offering will be well received by our mutual customers."
SAS Analytics provide an integrated environment for predictive and descriptive modeling, data mining, text analytics, forecasting, optimization, simulation, experimental design and more. Part of the SAS Business Analytics Framework, SAS Analytics are backed by the industry’s most comprehensive range of consulting, training and support services, ensuring customers maximum return from their IT investments.
SAS Rapid Predictive Modeler is now available worldwide. Existing SAS Enterprise Miner customers will receive SAS Rapid Predictive Modeler with the release of SAS Enterprise Miner 6.2.
SAS is the leader in business analytics software and services, and the largest independent vendor in the business intelligence market. Through innovative solutions delivered within an integrated framework, SAS helps customers at more than 45,000 sites improve performance and deliver value by making better decisions faster. Since 1976 SAS has been giving customers around the world
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Quick and easy predictive analytics help business analysts address a wide variety of business challenges, such as customer churn.