BUSINESS INTELLIGENCE and ANALYTICS with SAS VISUAL ANALYTICS

Organizations are turning to analytics to gain a competitive edge. But the real advantage goes to those organizations that are quicker, more innovative and more willing to explore the road less traveled. Learn how companies like yours are transforming their culture. SAS Visual Analytics is an easy-to-use, web-based product that leverages SAS high-performance analytic technologies. SAS Visual Analytics empowers organizations to explore huge volumes of data very quickly to identify patterns and trends and to identify opportunities for further analysis. SAS Visual Data Builder (the data builder) enables users to summarize data, join data, and enhance the predictive power of their data. Users can prepare data for exploration and mining quickly and easily. The highly visual, drag-and-drop data interface of SAS Visual Analytics Explorer (the explorer), combined with the speed of the SAS LASR Analytic Server, accelerate analytic computations and enable organizations to derive value from massive amounts of data. This creates an unprecedented ability to solve difficult problems, improve business performance, and mitigate risk rapidly and confidently. SAS Visual Analytics Designer (the designer) enables users to quickly create reports or dashboards, which can be viewed on a mobile device or on the web. SAS Visual Analytics empowers business users, business analysts, and IT administrators to accomplish tasks from an integrated suite of applications that are accessed from a home page. The central entry point for SAS Visual Analytics enables users to perform a wide variety of tasks such as preparing data sources, exploring data, designing reports, as well as analyzing and interpreting data. Most important, reports can be displayed on a mobile device or in the SAS Visual Analytics Viewer (the viewer). You can use SAS Visual Analytics to explore and view data, interact with and create reports, and display reports on a mobile device or on the web. You can explore your data by using interactive visualizations such as charts, histograms, and tables. Report designers can easily point and click to query central sources of data. You can add filters and design the layout using tables, graphs, and gauges. You can use drag and drop to create a well-formatted report. Using SAS Visual Analytics, users can enhance the analytic power of their data, explore new data sources, investigate them, and create visualizations to uncover relevant patterns. Users can then easily share those visualizations in reports. In traditional reporting, the resulting output is well-defined up-front. That is, you know what you are looking at and what you need to convey. However, data discovery invites you to plumb the data, its characteristics, and its relationships. Then, when useful visualizations are created, you can incorporate those visualizations into reports that are available on a mobile device or in the viewer.