Over the last five years, we’ve seen an explosion in excellent data storytelling. Data visualisation has emerged as a powerful tool for transforming complex data into actionable insights.
A big part of this story has been the rise of data journalism. However, data storytelling has also found its way into content teams across various sectors, including brands, NGOs, universities, and more
Renowned data visualisation and data science teams, such as those at the New York Times and Five Thirty Eight, have produced some of the most highly praised data stories. These interactive narratives showcase the capabilities of modern web browsers, making them stunning examples of data storytelling.
Today, businesses, non-profits, universities, and other institutions are leveraging data visualization tools to create impressive visualizations that drive their message home.
In this guide, we'll cover:
What do the BBC, Tripadvisor, and Penguin have in common?
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Data storytelling involves using data to craft a compelling narrative, often employing mediums like infographics, data visualisations, interactive maps, and feature articles. It is an incredibly powerful tool for conveying complex information in a way that is easily digestible.
A good data story hinges on the ability to create an engaging and informative narrative. This requires selecting the right data points, drawing correlations, and weaving them into a coherent and captivating story.
Data storytelling can greatly benefit businesses in their marketing campaigns, as it helps target audiences grasp the information being presented. Furthermore, it aids decision-makers in understanding raw data and making informed choices.
Beginners to data storytelling can start by exploring simple visualisation techniques, such as pie charts, before delving into more advanced methods. With platforms like Spotify leveraging data storytelling to engage their target audience, it is evident that data visualisation is a crucial element in today's communication landscape.
Here’s the problem, though: few (if any) content teams have the development resources of the Times. If all effective data storytelling relied on a team of data scientists and web developers, then we wouldn’t see very many data-driven stories.
Happily, this isn’t the case. Nearly every media company in the world is publishing data stories, with data journalism and data storytelling skills becoming increasingly sought-after.
"Democratisation" might sound a little lofty, but it’s true: the barriers for telling stories with data have radically decreased over the last five years. Why? Because of four related trends.
But this doesn’t tell the full story. Even with lower barriers to entry, data storytelling still needs to make business sense for your organisation. Your content team should only invest in data storytelling if it helps your organisation — whether it's a media company, brand, government agency, university, or NGO — achieve its strategic objectives.
Here are four reasons organisations should invest in data storytelling:
During the Brexit debate, all sides made very specific and confident claims about the impact of the United Kingdom leaving the European Union. For those looking on, this led to a great deal of confusion about what the impact of Brexit would actually be. It has also made decision-making within the UK very difficult.
To help, Sky News produced this incredibly informative story with actual data points on the immediate impact of Brexit on the UK. Their assets worked beautifully in the story, and would also have been a great draw on social media.
It’s common for NGOs to have ambitious goals — but it’s less common for them to track and report on these goals using data. The best NGOs, like Oxfam Ireland, not only collect this data, but use it to tell a story of both urgent need and impressive impact.
In their annual impact report for stakeholders and the public, the team at Oxfam showcase how they drive change using data-driven maps, dashboards, and infographics, presented in an elegant and digestible way.
Often with data storytelling, less is more. While data experts might want to include dozens of charts, the best content teams know how to use data visualisation in the service of a compelling story.
This is the case with The Jews of Lebanon from Arab News, which tells the rich, often tragic story of a minority community in Lebanon. While the team no doubt had access to a range of demographic data, they used the simplest — the size of the Jewish community in raw numbers — to punctuate their story.
In November 2020, the New Zealand Labour Party — led by Jacinda Ardern — won a historic and sweeping election victory. To showcase the scale of the victory, New Zealand media company Stuff produced a series of beautifully designed interactive bar charts, line charts, and maps.
While the story did use some CSS and HTML, the charts themselves were simply static illustrations, with the interactivity triggered as the reader scrolled. It's a great example of the power of data to show the breadth and scale of an event.
When most people think of data storytelling, they imagine charts and graphs. But some of the most exciting data storytelling uses geospatial data — including raster data, such as satellite imagery and aerial photography — to create interactive maps.
A powerful example of this comes from BBC News. In this piece of investigative journalism, they use a range of data sources to show the scale and impact of plans to move Indonesia’s capital away from Jakarta.
One challenge NGOs face is that, for some issues — such as the state of global fisheries — the data is so bleak that it can be difficult to show hope for improvement.
Happily, the Marine Stewardship Council are expert data storytellers and marketers. They know exactly how to use data within an engaging, human, and hopeful narrative. In this story, they provide a compelling story about how the fishing industry can make better decisions.
In some stories, the numbers are so stark that they need to be given centre stage. This is especially true in this classic data story from The Telegraph.
With well-executed, scroll-based animation of static images, the team show the implications of rapid population growth across the continent of Africa over the next century.
With the outbreak of the COVID-19 pandemic, content teams from organisations around the world — including media companies, NGOs, universities, and other businesses — published a slew of excellent data visualisations. One story came from Radio NZ who published — and continued to update — a timeline on the impact of COVID-19 in Aotearoa New Zealand.
Rather than use scroll-based animation, the team at Radio NZ decided to embed rich visualisations from data visualisation platform Tableau. The resulting story offers the best of both worlds: a stunning, well-told story, punctuated with impressive interactive charts and maps.