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SAS® Visual Data Discovery

What is SAS® Visual Data Discovery? SAS Visual Data Discovery, powered by JMP® software, provides a point-and-click user interface to the advanced analytics capabilities of SAS/STAT® and other analytical modules (such as SAS/ETS®, SAS/QC®, SAS/OR® and SAS/IML®) that can be purchased as add-ons.

What does SAS® Visual Data Discovery do? SAS Visual Data Discovery provides interactive data visualization and a rich and collaborative environment for SAS programmers and advanced users to customize analysis by writing their own code and sharing with others via JMP plug-ins or SAS Stored Services. In addition, it supports the deployment of analytic tools to business users in a GUI, so even nonstatisticians and programmers not familiar with SAS can realize analytic excellence.

Why is SAS® Visual Data Discovery important? SAS Visual Data Discovery overcomes the inherent limitations in spreadsheets, static graphs, charts and tabular reports, providing a nonprogramming environment for exploratory data analysis. It enhances advanced analytics and exploratory data analysis with interactive data visualization, leading to better analysis, better decisions and more effective presentation of analytic results.

For whom is SAS® Visual Data Discovery designed? SAS Visual Data Discovery is designed for people who need interactive data analysis and visualization capabilities, broad data preparation features, and deep analytics. Even nonstatisticians and programmers unfamiliar with SAS can access the power of SAS through the JMP environment.

For business users needing access to corporate data, the client/server version of SAS Visual Data Discovery includes SAS Integration Technologies for point-and-click access to corporate data assets stored in virtually any system. Complex analysis and reporting are available to business users through an interactive data analysis environment.

SAS Visual Data Discovery can be upgraded with SAS/ETS, SAS/QC, SAS/OR and SAS/IML to provide additional capabilities in forecasting, quality improvement, optimization and more specialized analyses and exploration.

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