Story Telling With Data

When presenting data to others, it is essential to be mindful of how it is framed. story telling with data involves leveraging narrative and visuals to convey meaning in an easily digestible manner. The use of visualizations such as graphs and charts makes it easier for people to understand complex numbers and trends. However, sometimes these visuals aren’t enough on their own to convey your point. It’s also important to provide contextual information and commentary with your data storytelling.

For example, a great way to build intrigue for a data story is by providing a hint at the findings that are to follow. This will help people invest in the information that you are presenting to them. In Nadieh Bremer’s “Why Do Cats and Dogs Do That?” data story, she positions her work by addressing common questions about cats and dogs, creating a hook that draws the audience into her content.

The Power of Data-Driven Narratives: A Guide to Effective Storytelling with Data

You may also choose to incorporate other types of information in your data stories to make them more relatable for different audiences. For example, executives might appreciate seeing how social media metrics translate into revenue dollars, while managers might want to see the impact of a particular metric on a key business goal.

Lastly, it is always important to ensure that your data stories are factual and reliable. To ensure this, be sure that your data comes from a reputable source and that it is collected in a responsible way. Also, be careful not to manipulate scales or cherry-pick data points to make them more compelling.