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UNLOCKING DATAVIZ COMMUNICATION: 7 KEYS TO COMMUNICATING DATA 🔑 

As I’ve mentioned before, I am all about working smarter, not harder

So, what’s better than having a quick guide of tips to take your dataviz to the next level? 

Let’s get into it! 

7 KEYS TO COMMUNICATING ABOUT DATA 

  1. KNOW YOUR AUDIENCE.  

In order for your message to be interpreted correctly, it is important to know what your audience’s background knowledge, interest, level of understanding, etc. This will make your data more understandable and relatable for the audience.  

  1. PREP, TALK, SKETCH, PROTOTYPE, REPEAT.  

Fight the urge to go from data collection to choosing your chart right off the bat! Make sure you spend time creating context and thinking through the desired message to produce a stronger dataviz. 

  1. CREATE AN APPROPRIATE DATA VISUALIZATION (I.E. CHARTS, GRAPHS, ETC.)  

There are four main types of dataviz; idea illustration, everyday dataviz, idea generation, and visual discovery. Each type of dataviz requires different skills, goals, features, and resources. You should be asking yourself,  

Is information conceptual or data-driven? 

Are my visuals declaring or exploring ideas? 

This way you can create a dataviz that is appropriate for the setting, audience, goal, message, etc.   

  1. LESS IS MORE. 

I want you to think balance over perfection. Focus on the design’s…  

  • structure and hierarchy to make your chart neat and clean 
  • clarity by removing extraneous/ambiguous elements and leaning on metaphors and conventions 
  • simplicity by only showing what is needed and minimizing eye travel, colors used, and avoid belt-and-suspender design 
  1. USE CLEAR AND CONCISE LANGUAGE.  

Your underlying goal is to use your dataviz to get the message across clearly, effectively, and accurately. Try your best to avoid jargon and or technical terms, if possible. This way you can limit misinterpretations, misunderstandings, and make the information accessible to everyone regardless of their background knowledge/technical background. 

  1. STORYTELLING WILL BE YOUR BEST FRIEND.  

Use dramatic story structure (setup, conflict, resolution) to help your chart tell a story. This makes your data more engaging, memorable, and ultimately more relatable to the audience. And if it’s your lucky day, it may even emotionally connect with your audience to influence change or action.  

  1. PRESENT TO PERSUADE.  

As wonderful as it is to be on the creative end, you will also need to be able present and discuss your data. Focus on how you present and how you will get your audience engaged. Show your chart, don’t read it (unless guidance is needed), and let it speak for itself. Lure your viewers in, create tension, and tell stories to engage your audience and help them relate.  

FINAL THOUGHTS 

At some point, as a marketer, you will need to use data visualizations. And lucky for you, you have some starter tips to get the ball rolling and create a superior visualization for your data.  

Or maybe some ideas on how to take your dataviz to the next level! 

Do you have any other favorite keys for communicating about data?! Let me know in the comments below! 

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