Data visualization—also known as data viz—is the practice of translating information into a visual context, to make data easier for the human brain to understand. In turn, this makes it much easier to glean insights and identify trends, patterns, and outliers within large sets of data.
Not long ago, the ability to create smart data visualizations was a nice-to-have skill. For the most part, it benefited design- and data-minded managers who made a deliberate decision to invest in acquiring it. That’s changed. Now visual communication is a must-have skill for all types of managers, because more and more often, it’s the only way to make sense of the work they do.
Despite the fact that data visualization has only recently become ubiquitous, its origins trace back to the mid-19th century. But who was the originator?
In the 1850s, Florence Nightingale was an English social reformer, statistician, and the founder of modern nursing. She came to prominence while serving as a manager and trainer of nurses during the Crimean War, in which she organized care for wounded soldiers at Constantinople. Nightingale gave nursing a favorable reputation and became an icon of Victorian culture, especially in the persona of "The Lady with the Lamp" making rounds of wounded soldiers at night.
Florence Nightingale is also regarded as the first person to truly master the graphical representation of statistics.
She first developed a form of the pie chart now known as the Nightingale rose diagram, equivalent to a modern circular histogram, to illustrate seasonal sources of patient mortality in the military field hospital she managed. The vivid and engaging graphs she made to back her public health campaigns convinced the Queen of England and other authorities that deaths due to filth and poor sanitization could be averted—saving countless lives.
The combination of hard data and striking images is powerful.
Data visualization attracts attention and persuades people. Studies show that people form impressions of images in 500 milliseconds -- just half a second. That is too brief to truly understand what the graph is about, but not too brief to generate engagement and interest. We respond to images without conscious thought.
To optimize the impact of your data visualization, LINK offers the following three considerations:
These are my thoughts on how companies can create stronger marketing visuals to connect more strongly with their target audiences. I would love to hear yours.
Thanks for reading.
p.s. If you'd like to connect more strongly with your target audience, I'd love to help. Please message me at Todd@LINKTrainingAndConsulting.com, or call me at (513) 240-8383.