![]() Tools can reveal stories, help us tell stories, but they are neither the story itself nor the storyteller. Look ma, no story! by Moritz Stefaner "Tools have no stories to them. If they don’t, they will find themselves on the wrong side of history." We "humanize" the data by turning raw numbers into a story about our performance."Ĭoffee & Empathy: Why data without a soul is meaningless by Om Malik "The idea of combining data, emotion and empathy as part of a narrative is something every company - old, new, young and mature - has to internalize. Good analysis parses numerical outputs into an understanding of the organization. Data scientists aren’t always up to the job.”Ī Data Scientist's Real Job: Storytelling by Jeff Bladt and Bob Filbin "In short, we're tasked with transforming data into directives. “As with any good story, a data tale needs a beginning, a middle, an end, and some actionable insights. The Next Chapter in Analytics: Data Storytelling by Beth Stackpole. Posts and Articles about Data Storytelling ![]() Below you'll find a collection of some of the best (1) blog posts and articles, (2) presentations, (3) books and other resources (4) Podcasts and (5) research papers on this topic.Īnd while you’re here, you should sign up to try our unique data storytelling platform for building your own data stories.ġ. Many of the bright minds in the data visualization field have started to tackle these questions - and it is something that we've been exploring at Juice in our work. Is it more about story-telling or story-finding? How can the traditional tools of storytelling improve how we communicate with data? Where does data storytelling fit into the broader landscape of data exploration, visualization, and presentation? Is data storytelling more than a catchy phrase? While the term has been around for a while, we are still early in the discussion about what Data Storytelling means and how it should be practiced. We need to use the tools and techniques of narrative stories to engage audiences with data. ![]() It is a recognition that well-designed charts aren’t enough to move people to action. “Gartner projects that by 2025, data stories will be the most widespread way of consuming analytics” - Data Trendsĭata Storytelling is the evolution beyond data visualizations.
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