Visual analytics is becoming the fastest way for people to explore and understand data of any size. Use our definitive checklist for evaluating a visual analytics, or data visualization, software application
Based on the 7 defining characteristics of visual analytics, this Excel-formatted buyer’s grid will tell you exactly what to look for and how to evaluate applications.
You’ll learn the questions you should ask software providers of visual analytics applications regarding:
- Visual exploration
- Augmenting human perception
- Visual expressiveness
- Automatic visualization
- Visual perspective-shifting
- Visual perspective linking
- Collaborative visualization
Formatted in an easy-to-user spreadsheet, this checklist will make it easy to compare and contrast vendors regarding their visual analytics capabilities.