A Meaningful Approach to Data Storytelling
By some estimates, 2.5 exabytes of data is generated every day – or about 7,500 times the entire content of the Library of Congress. Not only is this amount unfathomably large, it’s also growing exponentially, with scientists estimating that data is being consumed at a compounding annual growth rate of 23%. While this increase of data offers limitless possibilities, it does not come without its challenges: how can we make data meaningful by interpreting it into reliable, credible and, above all else, actionable insights?
Advances in artificial intelligence have enabled the automation of insights from large volumes of data, but extracting the greatest value of data requires harnessing a much older set of skills: storytelling. While the story that each set of data tells will be unique, adhering to the following overarching principles will allow you to identify and convey the most compelling narrative that your data provides:
4. Make it engaging: There can be a misconception that data is boring. It’s your job to find the story that elevates numbers into a narrative that hooks your audience. This story must be compelling both visually and audibly, immersing the audience whether presented as an elevator speech or a takeaway resource. Consider the following to engage your reader or listener in your story:
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When data is shared in a narrative it’s not only more compelling – it’s more meaningful. These stories bring data to life, helping organizations to better understand and engage with their audiences.
- Mitzhajalla Ortega – CSA by Havas México.
Are you ready to implement data storytelling? Contact a member of the CSA team to learn how we can make your data meaningful.
Global VP CSA - Havas
1mogo Mitzhajalla Ortega!
Amazing piece Mitzhajalla Ortega! #MeaningfulData