Whether used for infographics, presentations or reports, data storytelling example put complex information into context and build trust among your audience by leveraging narrative and visual tools to break down data, analytics and complex information. This allows you to deliver a story that resonates with your audience’s perspective and experience, without leaving them overwhelmed or confused by the complexity of the topic.
The most important step in creating a data story is understanding your target audience, the objective of the story and any other background information you need to provide. This helps you determine how technical the content needs to be and what elements are most relevant to your audience. For example, if your data story is for an executive team, you may need to provide more details on the underlying complexities and correlations than if it was targeted at a generalist audience.
Data Storytelling in Action: A Deep Dive into Successful Examples
For example, in the story of how Uber helps people move around cities every day, the narrator uses words to set the scene and build intrigue and the data visualizations are a great way to quickly communicate key information. By focusing on the data that matters most to their audience, the team ensured that they told a data story that was accurate and relevant to their audience.
It is also important to use a data storytelling platform that can help you identify and analyze the most important information for your specific data story. For instance, using augmented analytics, ThoughtSpot can auto-drill down into your data and alert you to identify patterns or correlations that can change rapidly and might be missed otherwise.