The Art of Crafting Data-Driven Stories
This article is by Tableau, a software that helps you – the "business user" aka consumer of this product – visualize data and make it all look corporate sleek. In my view, these infographics (interesting in realm of semiotics) are the epitome of the problems of our "data-driven story" future, which I substantiate using their own words below:
Popular culture is fueling a dystopian view of what machine learning can do.
Machine learning is not great when your data is subjective. (all data is subjective)
We are familiar with how art and storytelling has helped influence the data analytics industry.
That doesn’t come as a surprise.
What comes as a surprise is how the technical aspects of creating an analytical dashboard, previously reserved for IT and power users, is being taken over by users who understand the art of storytelling—a skill set primarily coming from the liberal arts.
Furthermore, organizations are placing a higher value on hiring workers who can use data and insights to affect change and drive transformation through art and persuasion, not only on the analytics itself.
As analytics evolves to be more art and less science, the focus has shifted from simply delivering the data to crafting data-driven stories that inevitably lead to decisions.
Organizations are embracing data at a much larger scale than ever before and the natural progression means more of an emphasis on storytelling and shaping data.
The golden age of data storytelling is upon us and somewhere within your organization is a data storyteller waiting to uncover your next major insight.
(also in 10 featured videos, let's play "who gets to speak twice"?)