Glossary
Data storytelling
Combining data, visuals and narrative so an audience understands an analysis and knows what to do about it.
Data storytelling is the practice of presenting an analysis as a narrative with a clear point, rather than as a chart or dashboard left for the audience to interpret on their own. It sits on top of data visualization: the chart shows the data, the story explains why it matters and what should happen next.
A typical structure sets up the context the audience already has, states the finding, shows the supporting evidence with one or two well-chosen charts, and ends with a specific recommendation or decision. Effective data storytelling usually means cutting most of the analysis actually performed down to the handful of numbers that support the message, rather than presenting every chart that was built along the way.
It matters because decision-makers act on a clear takeaway far more often than on a dashboard full of numbers they have to interpret themselves, which is why it is a core skill in business intelligence work. Common pitfalls are leading with methodology instead of the finding, including too many charts so the real point gets lost, and stating a conclusion the data does not actually support.
Last reviewed September 19, 2026