Visual Analytics using SAS
Sankhyana Consultancy Services Pvt. Ltd.
Data Driven Decision Science
Visualize and discover relevant relationships in your data. Create and share interactive reports and dashboards, and use self-service analytics to quickly assess probable outcomes for smarter, more data-driven decisions
SAS Visual Statistics helps you get predicted values from the predictive models. It requires SAS Visual Analytics. SAS Visual Statistics
The reports created using SAS Visual Analytics can be shared on tablets and phones using?SAS Visual Statistics App,?or they can be shared in Microsoft Office applications using?SAS Visual Statistics?components. You can also create your customized mobile app to display SAS Visual Analytics content using the?SAS
Turn seeing into understanding with dynamic visuals.
Create stunning interactive reports and dashboards. Quickly summarize key performance metrics and share them via the web and mobile devices. Executives and front-line staff can quickly interact with and collaborate on insights, slice, and dice them to find their answers, and better understand business performance.
Add the 'where' to the 'what.'
Add geographical context to your analyses and visualizations by combining traditional data with location data. Location analysis brings the “where” dimension to the forefront so you can analyze data in new ways to get the full picture before making decisions while identifying location-specific opportunities.
Streamline the discovery process.
Self-service data preparation gives business users the ability to import their data, join tables, apply data quality functions, create calculated columns, and more – all with drag-and-drop ease. By empowering users to access, combine, clean, and prepare their data in an agile – and trusted – way, SAS Visual Analytics facilitates faster, broader adoption of analytics for your entire organization.
?Gain chat-enabled insights.
An intuitive, low-code visual interface enables you to create and deploy custom, natural language chatbots. Get text responses, access data, reports, and visualizations, and even apply analytics and AI through a natural language, conversational interface. Configure bots within the SAS environment for easier access to insights, or connect to external services to roll them out to the world. Now getting insights from data is as easy as sending a message.
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