Creating visualizations from data can be a powerful and intriguing way to present findings. But way too many design teams sit on vast amounts of data. They also spend entirely too much time making static images rather than interactive tools.
In his virtual seminar, Data Visualizations that Pack a Punch, Brian Suda outlines different types of meaningful data visualizations, from charts and graphs to more interactive models. He also discusses the importance of using the right tools and newer technologies and higher resolution displays as they emerge.
The audience asked a slew of great questions during the live event. Brian comes back to chat with Adam Churchill and tackle some of those questions in this podcast.
How do you approach accessibility challenges, such as color blindness? How do you communicate that the data you’re presenting is “fresh”? Is there a good way to demonstrate the ROI of good visualizations? What can you do to encourage people to start exploring and using data? Are there any examples of companies currently using visualizations well? Should you try to do this in-house or is it better to outsource to an agency? What is the best way to get started? Recorded: August, 2013