example of data storytelling makes your analytical information accessible to a wider audience. By turning your data insights into a narrative based on your organization’s goals, you can engage and inspire your audiences to take action.
Narratives and relevant visuals work together to enlighten your audience to insights that they wouldn’t otherwise have understood. They can also provide a context that explains why a specific insight matters, which will increase its value for your audiences.
From Numbers to Narratives: How to Master Data Storytelling
It’s important to keep in mind that a story needs to be relevant to your audience. It should have a conflict that resonates with your audience’s experience or perspective and offer a solution that is supported by data insights. This is why it’s so important to choose your datasets wisely and ensure that they fit the broader story you’re trying to tell.
For example, if you’re telling the story of your company’s procurement KPIs then it might be best to prioritize data from your supply chain rather than your employee metrics. Similarly, it’s a good idea to limit the number of different datasets you’re using in your visualizations so that the design doesn’t overwhelm your audience.
Another great example of data storytelling is Slack’s annual recap email that replaces invoice top and centre with a story showing the key ways its customers have used their service. This high-impact dialogue shifts the conversation with their audience and creates a strong sense of connection to their brand.