You also have an option to use BI in a private cloud or a public cloud. You can also expand it as your business grows. You can choose a Business Intelligence implementation that fits your business need.Visual Analytics in SAS uses a variety of visual analytics techniques which will help you to present the data in a more attractive way.Visual Analytics in SAS allows you to share the visualizations through MS office applications like Excel and PowerPoint.Through Mobile BI apps you can view and interact with the reports and dashboards from your smart phone or any such device.You can implement visual analytics dashboards, reporting and analytics all from a single interface.More interactive dashboards and reportsįollowing are some of the benefits given.Features of SAS VAįollowing are some of the features given. SAS Visual Analytics is compared with products such as Tableau, TIBCO Spotfire and others. It has a traditional Business Intelligence platform and it requires skilled persons to use. It is priced little high than other visual analytic software comparisons, but has a lot of good features and functionalities. Visual Analytics in SAS is the best way to tell your Business Intelligence story. It reduces the work of the IT department and lets them concentrate on the goals of the business. SAS VA helps you to unlock insights and improve the efficiency throughout the organization. It is easier to use and has a self-service environment that can deal with large amount of data. It has a powerful in-memory technology for quicker analytic computations. SAS VA is a complete platform for analytics visualization which will help you to find patterns and relationships in data. It is the most sophisticated visual analytics platform and is best suited for larger companies with complex needs. SAS Visual Analytics is a deep analytics portfolio that was launched by SAS in the year 2012. The main task in visual analytics is to identify the best algorithm for the task at hand and develop a best solution with proper visualization and interaction techniques. Visual analytics does more than just visualization. Communicate the report effectively so that proper decisions are taken.Helps to provide more understandable ,timely and defensible reports.Gain in-depth knowledge from large, dynamic and complex data.Integrate scientific disciplines to improve the division of work between human and machine. Provide an transparent way of processing data and information for an analytic discourse.The goals of visual analytics are as follows Visual Analytics is an in memory visualization and reporting tool. This is mostly used in very large and complex data sets. Visual Analytics is a combination of automated analysis techniques with interactive visualizations for the purpose of effective understanding, reasoning and decision making. Visual Analytics is a form of inquiry in which the data is displayed in a graphical manner.
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