Dataviz 101: Who’s Your Audience?
It's critical to think about different personas when solving dataviz dilemmas.
By now, most intelligent business professionals accept the fact that Big Data and dataviz have arrived in earnest. To quell any remaining doubt regarding the form, consider the recent words of a Gartner analyst: “Hype is now being replaced by practicality.”
Of course, that doesn’t mean that everyone in an organization can and even should start setting up Hadoop clusters and learning Python. As I write in The Visual Organization, data visualization has become essential to not only understand what is happening, but to act on it.
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