3. Use interactive elements
Interactive elements give your audience another way to engage with your data visualization (remember the examples from @impact?) and result in them spending more time experiencing your content.
See, data analysts (and now you!) understand that these interactive features make it easier for people to explore and understand in-depth data without feeling lost in a world of ineffective graphs.
“Interactive elements like carousels can elevate storytelling skills,” says Froese. Tools like Tableau and machine learning models also allow more dynamic, immersive ways to tell data stories that captivate your audience.
For real-world examples, take a peek at this blog post for 15 smart ways to use Instagram carousels, which showcases how data viz can be brought to life in engaging, interactive formats.
4. Humanize the data
“Relatable comparisons or real-life anecdotes make abstract numbers more tangible,” says Froese. Think about sharing personal stories along with your data analysis in order to give your audience a specific example to ponder.
In the case of a restaurant sharing how many 5-star reviews it has received, the social media manager may also want to share an example of one of those reviews. Humanizing the data helps with transparency and trust, too — proof that you’re walking the talk.
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