SAS launches do-it-yourself predictive analytics for business users

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 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.

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SAS Rapid Predictive Modeler automatically guides users through a behind-the-scenes workflow of data preparation and data mining tasks, enabling them to generate their own models, derive on-demand insights and act on them to solve business problems quickly and effectively. It also allows statisticians or modelers to generate quick, baseline models when they are short on time and resources.

Eases the process of creating efficient, reliable and robust data mining models

• Enables business analysts and subject-matter experts to explore and analyze their data using the familiar, visual interfaces of either SAS� Enterprise Guide� or Microsoft Excel surfaced via the SAS Add-In for Microsoft Office.
• Offers a choice of basic, intermediate and advanced prebuilt models that use a broad range of classical and modern data modeling techniques.
• Automatically treats the data to handle outliers, missing values, rare target events, skewed data, correlated variables, variable selection and model selection.
• Lets users develop modeling and scoring tables using the data preparation tasks to stack, transpose, join, filter and sample data.

Provides a variety of tasks to support the complete predictive modeling

SAS Rapid Predictive Modeler is a component of SAS Enterprise Miner. It runs from either SAS Enterprise Guide or Microsoft Excel surfaced via the SAS Add-In for Microsoft Office.