Interactive dashboards, reports, BI and analytics
Go directly from reporting and exploration, to analysis, to sharing information through different channels, including Microsoft Office applications, with a single interface.
Interactive reporting. Visual discovery. Self-service analytics. Scalability and governance. All from a single, powerful in-memory environment.
Smart visualizations
Present data and results in the most compelling way with advanced data visualization techniques and guided analysis through autocharting.
Self-service data preparation
Import your own data, join tables, apply basic data quality functions and more with easy drag-and-drop capabilities.
Self-service analytics
Automated forecasting, goal seeking, scenario analysis, decision trees and more are at your fingertips, no matter what your skill level is.
Text analysis
Gain insight from social media and other text data, and know whether sentiment is positive or negative.
Location analytics
Combine traditional data sources (transactional, customer, operational, etc.) with location data for analysis in a geographical context
SAS Visual Analytics Apps for mobile devices
Use native mobile apps for iOS, Windows 10 and Android to view and interact with others through dynamic reports and dashboards on tablets and smartphones.
Flexible deployment
Runs on commodity hardware, in a private or public cloud infrastructure, or Cloud Foundry platform as a service (PaaS).
A single application for reporting, data exploration and analytics.
See the big picture – and underlying connections.
Quickly identify important variables and relationships in your data using automated analysis backed by machine learning and natural language explanations that are easy to understand. 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.
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 frontline staff can quickly interact with and collaborate on insights, slice and dice it to find their own answers, and better understand business performance.
Get 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 and automated analysis 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.
Streamline the discovery process.
Self-service data preparation gives business users the ability to import their own 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 own data in an agile – and trusted – way, SAS Visual Analytics facilitates faster, broader adoption of analytics for your entire organization.
Interactive Demos
Check out these SAS Visual Analytics interactive demos to see how quickly and easily you can explore and understand data to resolve a variety of industry and business issues.
Explore More on SAS® Visual Analytics & Beyond
-
Customer Story
Shaping higher education through cloud analyticsGeorge Mason University relies on SAS Viya to uncover insights to improve operational effectiveness and increase student success.
-
White Paper
Data Visualization TechniquesA picture is worth a thousand words – especially when you are trying to find relationships and understand your data – which could include thousands or even millions of variables. To create meaningful visuals of your data, there are some basic tips and techniques you should consider. Data size and composition play an important role when selecting graphs to represent your data. This paper, filled with graphics and explanations, discusses some of the basic issues concerning data visualization and provides suggestions for addressing those issues. From there, it moves on to the topic of big data and discusses those challenges and potential solutions as well. It also includes a section on SAS® Visual Analytics, software that was created especially for quickly visualizing very large amounts of data. Autocharting and "what does it mean" balloons can help even novice users create and interact with graphics that can help them understand and derive the most value from their data.
-
Customer Story
Providing a smooth transition for military veteransThe Institute for Veterans and Military Families at Syracuse University uses data and analytics to serve those who have served their country.
-
Conclusion Paper
Tar Heels Play to Win With SAS Analytics The University of North Carolina–Chapel Hill is known for successful sports programs, with 43 national championships in nine different sports. UNC is also known for its fan loyalty. Learn how Carolina Athletics and The Rams Club use SAS Analytics to deepen relationships and loyalty for all 28 varsity sports.
-
Managing the Analytical Life Cycle for Decisions at ScaleAnalytical models are at the heart of critical business decisions. But what’s the best way to create and manage these high-value assets when there are more decisions and data than ever?
The SAS Analytical Life Cycle guides you through the entire iterative process -- from data preparation and model development to model testing, deployment, monitoring, recalibration, and back again.
So you can automate as many decisions as possible, as quickly as possible.
-
White Paper
How analytics changes the game for universitiesWith more than 38,000 students, The University of Alabama has a wealth of data – the challenge is using it effectively. It used to take weeks for Alabama’s data analysts to manually pull data and transcribe it into spreadsheets. Using analytics, they can now pull information and produce reports in minutes. Using analytics and data visualization has transformed the university’s operations, recruitment and retention efforts.
In addition, The University of Alabama offers an innovative hands-on analytics training to prepare students for valuable careers. Read on to see how analytics has changed everything for one university – and how you could take the same journey.
-
White Paper
Advancing Your Business Intelligence With Location AnalyticsAbout 70 percent of business data contains some level of location information. When mapped in a geographical information system (GIS), location adds a new dimension to help better understand everything from consumer purchasing patterns to public utility needs to the spread of deadly diseases.
However, the power of location analytics has scarcely been tapped. Business analysts rarely use location data within traditional business intelligence and analytics workflows.
SAS sees location analytics as an extension of BI, so it was only natural to partner with GIS leader Esri to bring GIS and BI together. Now users can access self-service mapping and spatial analytics from within the intuitive SAS® Visual Analytics tool.
-
White Paper
Data Visualization TechniquesA picture is worth a thousand words – especially when you are trying to find relationships and understand your data – which could include thousands or even millions of variables. To create meaningful visuals of your data, there are some basic tips and techniques you should consider. Data size and composition play an important role when selecting graphs to represent your data. This paper, filled with graphics and explanations, discusses some of the basic issues concerning data visualization and provides suggestions for addressing those issues. From there, it moves on to the topic of big data and discusses those challenges and potential solutions as well. It also includes a section on SAS® Visual Analytics, software that was created especially for quickly visualizing very large amounts of data. Autocharting and "what does it mean" balloons can help even novice users create and interact with graphics that can help them understand and derive the most value from their data.
-
White Paper
How any size business can supersize results with data visualizationWhat can you see and discover when you’re able to explore trends and make predictions with your organization’s data? If you’re a midsize home delivery business, you can discover new ways to make customers happy. If you’re a local government agency, you can predict where your resources are needed most. And if you’re a growing hospital, you can bring life-changing patient data directly to doctors and nurses. In this e-book, we’ve profiled six organizations that are using self-service visual exploration to make big improvements in the way they work. From college administrators to professional sports teams, everyone makes better decisions with easy access to powerful, interactive analytics.
-
White Paper
The Power of CollaborationIt’s a social world and the majority of organizations today use Microsoft Office as their chosen office productivity suite. So it’s important to deliver insights where people are working most. This paper shows how you can use results produced by SAS Visual Analytics with Microsoft Office applications – Outlook, Excel, Word, PowerPoint and SharePoint. With plenty of how-to specifics, you’ll see how easy it is to combine analytic visualizations and reports with Microsoft products to share insights, improve collaboration and drive further adoption of analytics across your organization.
-
White Paper
Bringing the Power of SAS® to HadoopWant to get even more value from your Hadoop implementation? Hadoop is an open-source software framework for running applications on large clusters of commodity hardware. As a result, it delivers fast processing and the ability to handle virtually limitless concurrent tasks and jobs, making it a remarkably low-cost complement to a traditional enterprise data infrastructure. This white paper presents the SAS portfolio of solutions that enable you to bring the full power of business analytics to Hadoop. These solutions span the entire analytic life cycle – from data management to data exploration, model development and deployment.
- Customer Story A data-driven approach to suicide prevention in Australia
-
Customer Story
Machine learning helps personalize the gift card experience across retail channelsEpipoli uses SAS artificial intelligence and customer intelligence solutions to craft relevant, real-time offers for customers.
-
It’s a brand-new ballgame with analyticsThe New York Mets improve fan experience and increase sales through better data analysis.
-
Customer Story
Achieving academic and operational excellence through business intelligenceCurtin University uses SAS Visual Analytics to provide reporting across the organization.
-
Customer Story
SAS Artificial Intelligence leads to improved customer satisfactionMachine learning models powered by the SAS Platform help high-tech company Konica Minolta Japan reduce costs and enhance competitive edge.
-
Customer Story
Analytics powers anti-money laundering effortsSAS helps Landsbankinn reduce false positives and streamline investigation.
-
Customer Story
Smart data exploration advances K-12 public education programsThe South Carolina Department of Education depends on SAS to analyze data and properly fund and serve its school districts.
-
Customer Story
Self-service analytics advances higher educationThe University of Central Florida depends on analytics and data visualization to uncover insights for increased student success.
-
Article
Location intelligence: Adding geospatial context to BI Get tips for implementing a location intelligence data strategy from industry thought leader and data explorer, Jen Underwood.
-
Article
Learning the art of analytical storytellingCrafting and pitching enticing data-driven stories is a vital skill to master. Here are a few tips to help you get started with storytelling visualizations.
-
Article
Governed analytics and discovery: Balancing business user and IT needsTDWI provides seven steps for balancing IT governance needs with the expanding use of self-service BI and data discovery tools.
-
Article
Five tips for faster, data-informed decision makingThree educational institutions share how they use data visualization to drive data-informed decision making. Five tips that apply to all organizations.
-
Article
Exploring the sun with big dataResearchers working for NASA are using automatic, exploratory and visual analysis of big data to help understand the mysteries of our universe.
-
Article
Become a strategic business partner using analytics in financeCollecting, validating and reporting information is no longer enough for finance professionals – it’s time to transform your role using analytics in finance.
Related Products
Check out these products related to SAS Visual Analytics, built on the powerful SAS® Platform.
Interested in SAS® Visual Analytics running on SAS® 9.4?