Data visualization can also:
- Identify areas that need attention or improvement.
- Clarify which factors influence customer behavior.
- Help you understand which products to place where.
- Predict sales volumes.
Transforming your data into insights that give you a fresh perspective on your business. Enabling you to identify what’s working and discover new opportunities. Helping your business moving forward.
Data visualization technology from SAS delivers fast answers to complex questions. Regardless of industry or size, all types of businesses are using data visualization to help make sense of their data. Learn how from your peers.
Discover how different organizations from different industries benefit from using SAS Visual Analytics.

“SAS Visual Analytics allows employees to just pull out an iPad® and show the clients all the data, face to face, and answer any questions they might have. That exchange of knowledge on a personal basis is crucial”.
Colin Nugteren, Chief Analytics Officer Directpay
“With the help of SAS Visual Analytics NS (Dutch Railways) is developing
into a data-driven company in which we can provide our travellers with a better
service and improved communication.”
Geert van der Hoek, Manager IT NS
"Understanding the underlying data helps us to work more efficiently and save costs in the long term. In addition, the uniform method of reporting saves time. There are no discussions about the definitions of the figures, there is only one version of the truth."
Jacorien Wouters, program manager NIS at Rijkswaterstaat

“Business users can now filter and explore their data, drill down to every detail, surface and correct annoying abnormalities, all while discovering relationships they hadn’t even thought of before.”
Steven De Wever, IT Project Manager at Belfius Insurance

“SNCF aims to offer the best-possible services to 2 billion travelers annually while maximizing sales figures. As such, analytical solutions from SAS are the right choice to respond to these challenges, particularly due to their flexibility in analysis and reporting of information".
Georges Colin, Big Data expert at DSI Voyageurs, the firm supervising the SNCF project

“Healthcare has always been very rich in information, but that information was not structured in any way. Now, thanks to the implementation of the SAS tool, we are able to aggregate data, which is extremely important for our work, both internally and externally.”
Luís Salavisa, Head of IT at CHPL
In a nutshell: Why is data visualization important?
Because of the way the human brain processes information, using charts or graphs to visualize large amounts of complex data is easier than poring over spreadsheets or reports. Data visualization is a quick, easy way to convey concepts in a universal manner – and you can experiment with different scenarios by making slight adjustments.
Data visualization can also:
5 big data challenges
This report outlines the five most common challenges, and explains how data visualization can help you overcome each one.
Techniques for data visualization
This white paper provides some basic tips and techniques for creating meaningful visuals of your data.
Data visualization and big data
This report explains how you can use data visualization to succeed with big data.
SAS Leader Forrester wave
"Completeness, integration and comprehensiveness of the entire suite of agile capabilities makes the difference."