SAS Visual Analytics

Interactive reporting. Visual data discovery. Self-service analytics. Scalability and governance. All from a single, powerful in-memory environment.

SAS® VISUAL ANALYTICS

NOW EVERYONE CAN DISCOVER, SHARE AND COLLABORATE ON INSIGHTS.

Key Features

  • A single application for reporting, data exploration and analytics. Explore data through interactive visualization and easy-to-use analytics. Design and distribute reports and dashboards.
  • Innovative visualizations. Present data and results in the most compelling way with advanced data visualization techniques and guided analysis through autocharting.

  • Self-service analytics for everyone. Automated forecasting, goal seeking, scenario analysis, decision trees and more are right at your fingertips.

  • Interactive reporting and dashboards. A single user interface lets you go directly from reporting and exploration, to analysis, to sharing information through different channels, including Microsoft Office applications.
  • Location analytics. Combine traditional data sources (transactional, customer, operational, etc.) with location data for analysis in a geographical context.

SEE THE BIG PICTURE – AND UNDERLYING CONNECTIONS.

Visually explore critical drivers for making better decisions. Find out why something happened. Examine all options and uncover opportunities hidden deep in your data. Automatically highlight key relationships, outliers, clusters and more, revealing vital insights that inspire action.  

DYNAMIC VISUALS TURN SEEING INTO UNDERSTANDING.

Create stunning interactive reports and dashboards. Quickly summarize key performance metrics, and share them via the web and mobile devices. Executives and frontline staff can quickly interact with and collaborate on insights, slice and dice it to find their own answers, and better understand business performance.

ANSWERS BACKED BY DATA. RESULTS DRIVEN BY INSIGHT.

Easy-to-use predictive analytics enables even business analysts to assess possible outcomes and make smarter, data-driven decisions – no programming required. Smart algorithms reduce the need for manual experimentation. And you can work collaboratively with experts to focus on what’s most relevant.

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.

Solutions That Implement SAS Visual Analytics

Profit Analytics Data Hub and Reporting

Interested?

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