How Do you Scale a Data Visualization Practice for Industry?

I do a lot of customized, highly designed, bespoke data visualization for my clients. I'm lucky because I rarely have to worry about creating automated processes, delivering projects at scale, worrying about highly dynamic data with unpredictable edge cases.

But I know that I just described the kinds of things 99% of you have to deal with all the time. Doing data visualization (and analysis) at scale, in industry, is different. There are a unique set of challenges you face and an incredibly diverse set of solutions to those challenges.

Lesson: Data Visualization at Scale in Industry

In this lesson, I provide four key ideas to help anyone doing data analysis and visualization in industry to be the best you can be. To be honest, these four tips are absolutely fundamental to just about every role in every organization.

Listen: Data Visualization at Scale in Industry with Diana Yoo

Someone who is completely qualified to talk about specific solutions is Diana Yoo, Head of Data Visualization Design at Capital One. In this interview, she shares some great insights into the dedicated data visualization practice at the company, including examples of how they've approached some of these challenges along the way.

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Learn more about data storytelling and visualization via my other LinkedIn Learning courses.