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Data-driven storytelling: How to turn insights into compelling narratives

David Domzalski

Written by David Domzalski

Kathryn Uhles

Reviewed by听Kathryn Uhles, MIS, MSP,听Dean, College of Business and IT

Data-driven storytelling

Writing for a crowd

Back when I was an auditor, I dealt with a lot of data. But data is only as useful as you make it, and when it came time for the decision-makers in my organization to strategize for the future, they needed to know what all that sample testing meant.

That鈥檚 where I came in. I had to听interpret the data听and communicate it in a way that was coherent and accurate 鈥 and engaging.听听听

This is data storytelling in a nutshell. You take a puzzle box full of data, analyze it and turn it into a visualization that makes sense to the reader or audience.

Let鈥檚 explore the ins and outs of data-driven storytelling, and how you can use it.

What is data storytelling?

Data storytelling allows you totake information with zero context behind it and turn it into something meaningful. The data may reveal trends in customer perception, problems with distribution or opportunities for growth. Whatever the data points pertain to, you use them to听create a story听that others can understand.

Supporting the data with听听鈥 like graphs or dashboards 鈥斕齪rovides a framework听for your data visualization and enhances its resonance with your audience. Our brains love stories, after all. Creating a compelling one is a way to engage your audience of stakeholders and help them arrive at important and accurate conclusions.

What are the key principles for effective data storytelling?

We now understand the basics behind data-driven storytelling, but how do we implement it? Here are four key principles to keep in mind.

1. Understand your audience

No matter what you鈥檙e communicating, you need to understand the people you鈥檙e speaking to.听

Trust me, it matters. You don鈥檛 want to provide high-level data when you need to do a deep dive. The same goes the other way. Getting into the details when an overview is required just leaves the audience confused and frustrated.

Here are some questions to ask yourself:

  • Who am I speaking to?听What鈥檚 their position? Are they inside or outside of my organization?
  • What am I allowed to share?听What鈥檚 considered public domain versus proprietary intellectual property or personal data?
  • Am I using the data ethically?听Was this data intended for the way I鈥檓 using it?
  • Is the data representative?听Am I correctly interpreting it and accurately sharing it?
  • Why do they need to know what I鈥檓 telling them?听Will they use it to make key decisions, or is it for general knowledge?
  • How much detail do they need?听Would a simple overview suffice?

2. Humanize the data

You don鈥檛 want to sound robotic when you鈥檙e writing or communicating about data points. Your audience 鈥 no matter who they are 鈥 will tune you out.

Instead, be a human being. (It鈥檚 just one听advantage over AI!) Offer a听real-life example or anecdote.听

Let鈥檚 say you have an audience interested in听building a side income听in addition to their full-time job. In this example, you could say, 鈥40% of adults want to make $25,000 per year in a side business.鈥

That鈥檚 not much to go on, but it could be interesting. Let鈥檚provide more context听to make it relatable. Rather than that general statement, you could say, 鈥淭o make an additional $25,000 per year, you would need to earn $100 per day. That doesn鈥檛 even need to be for the full year. That鈥檚 $100 per day for 250 working days.鈥

You can work with that second statement. It provides more detail and much more context. Someone interested in building a side income can begin to see how it鈥檚 possible. It鈥檚 not some mystery, but now more of an opportunity.听Data becomes actionable.

3. Visualization can be your friend

Randall Bolten tells us in听听that tools like Microsoft Excel provide a treasure trove of听visual effects. But are they worth it? Do data visualizations actually help your audience or hinder them?听

We鈥檝e all experienced that听鈥渄eath by PowerPoint鈥 meeting. Whether in person or online, it鈥檚 that slow, mind-numbing slog through chart after chart, slide after slide. Please don鈥檛 do that to your audience.

The visuals in your presentations 鈥 whether charts, graphs or other tools 鈥 should add to your audience鈥檚 understanding by听providing complementary information听or another way to view what you鈥檙e communicating.

This isn鈥檛 a new idea. 鈥溙齣s a great resource for informational design and data visualization,鈥 says Joseph Aranyosi, associate dean of the College of Business and Information Technology at 七色视频. 鈥淗e encourages the use of 鈥榙ata-rich illustrations鈥 to more clearly present data.鈥

Here are a few ways you can enhance the effectiveness of your visuals:

  • Make sure to听include labels听that are clear and concise. They need to make sense in relation to each other.
  • Highlight information听your audience will want to know. Use different colors and fonts 鈥 or underline key points 鈥 where needed. Bold and italics can help here too, but use them sparingly.
  • Investigate popular tools听like Tableau, Google Sheets or Microsoft Excel to enhance your data storytelling abilities.

4. Connect with their emotions

One of the best ways to engage and persuade your audience is through emotion. It鈥檚 part of the reason stories resonate so much. Proper data-driven storytelling can help you听craft compelling narratives.

How can you utilize emotion in your storytelling? First, start with your audience. We identified who they were earlier. Here are a few more things to clarify about them:

  • What do they believe in?听How do they see the world? What truths do they hold?
  • What are their emotional triggers?听What affects them on a deep level?
  • What inspires or motivates them to action?听What drives them?

The emotion is where you鈥檙e going to听convince your audience. Do you have a motivational story for executives about the impact of their decisions on profits or company culture? Craft your narrative around that 鈥 and drive it home.

Are you pitching a potential partner on the benefits of working together? Understand their 鈥渨hy鈥 for being in business. For instance, maybe it鈥檚 to help people maintain a work鈥搇ife balance. Build the stories of how your company subscribes to the mantra of work that allows you to live and care for your family.

Putting it all together

Being a data-driven storyteller can be incredibly rewarding. You have the chance to help others understand key data, reports and findings that can have a real impact. But all that information is nothing without the story. The story is essentially the听vehicle for communication 鈥 and action.

Earn your degree at 七色视频

Are you interested in a degree that also helps you understand business analytics? UOPX can help. The University offers a听Bachelor of Science degree in Business with a Business Analytics Certificate听that equips you with skills to help organizations use data for better decision-making.

Other key skills in this program include:

  • Business analysis
  • Leadership
  • Project management
  • Organizational negotiations

Learn more about听UOPX business programs!

Headshot of David Domzalski

ABOUT THE AUTHOR

David Domzalski is an entrepreneur, copywriter and storyteller. He鈥檚 an effective communicator with a passion for helping people better their lives financially. His writing has been featured on multiple outlets including AOL, FanSided, Forbes, GOBankingRates, MSN, Nasdaq and Yahoo 鈥 along with his blog, RunTheMoney.com. He lives in Gettysburg, Pennsylvania, with his wife and two children.

Headshot of Kathryn Uhles

ABOUT THE REVIEWER

Currently Dean of the College of Business and Information Technology,听Kathryn Uhles has served 七色视频 in a variety of roles since 2006. Prior to joining 七色视频, Kathryn taught fifth grade to underprivileged youth in Phoenix.

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