For many people, data storytelling is just an extension of data visualization. Most of the focus is spent on the explanatory data visualization techniques that are employed in data stories. By focusing primarily on the visuals, the two other key elements of data stories--data and narrative--are often misunderstood and overlooked. It's time for organizations to embrace a more balanced approach to data storytelling that is centered around the effective communication of insights, not just the data visualization aspects.
When you share insights with audiences, they must be put in context so they can be fully understood and appreciated. While almost everyone would agree on the importance and value of context, there is little-to-no guidance on how to contextualize numbers. In this post, I share six ways in which you can add valuable background information to your key insights so they can resonate more deeply with audiences.
As data storytelling has grown in popularity over the years, there's still some confusion about what it really is--and is not. This article explores what data storytelling is, why it's important, and what shouldn't be considered data storytelling.
Many managers are uncomfortable with interpreting the numbers in their reports and dashboards. If this common data literacy problem isn't addressed across management levels, companies will continue to struggle in their efforts to develop data-driven cultures. In this article, I cover four key areas of data interpretation that are essential for all managers who are striving to make data-informed decisions.
As I was writing my book, I gathered 100 quotes related to data storytelling. They are all featured in my book and span 10 different categories from action to visualization. I hope you find them as inspiring as they were to me.
Data literacy is a key focus of many organizations as they seek to help their employees take full advantage of their data. While data storytelling is often included in data literacy training, the question is whether it is a required skill to be data literate. In this article, I explore the minimum viable skills someone needs to qualify as being data literate. I then share where data storytelling fits in the data literacy landscape.
Master the art and science of data storytelling—with frameworks and techniques to help you craft compelling stories with data.
Effectively communicating with data is a necessity in organizations of all types and sizes. It’s often the crucial last mile in the analysis process that determines whether an insight will inspire action. Transforming data into visual communication is only one part of the picture—it’s just as important to engage your audience with a memorable and persuasive story. Narratives are more powerful than raw statistics, more enduring then pretty charts. Effective Data Storytelling teaches you how to communicate insights that influence decisions, inspire action, and drive change.