A Viz Apart

Hi.

I'm Mike Cisneros. If you're familiar with my name, it's probably through my work in the data communication and visualization space. I've co-authored a bestselling book, taught hundreds of in-person and virtual courses, spoken at conferences in the U.S. and around the world, created award-winning data graphics, and been featured in videos, podcasts, books, and blogs all around the internet. One quick way to get to know me is via the things I have available already online. Check them out below.

PRESENTING

WRITING

BROADCASTING

TEACHING

VISUALIZING

Or, maybe you prefer to hear how I describe myself. That can be revealing.

My most recently updated social media bio (Bluesky) says:

Best-selling author of storytelling with data: before & after, and the Ruby Marks Adventures. Trivia host @ Not Rocket Science. Data storyteller @ storytelling with data. Tableau Visionary @ the before times. CisnerosM on LearnedLeague.

On the other hand, my written-in-the-third-person corporate bio says:

Mike is an award-winning data visualization specialist, a two-time Tableau Visionary, and the co-author of storytelling with data: before & after (Wiley, 2025). His work has appeared in Makeover Monday: Improving How We Visualize and Analyze Data, One Chart at a Time (Wiley, 2018) as well as a variety of media outlets, including the Washington Post, Forbes, and Fast Company. With Jenny Schumi, Mike has written several books in the data-focused Ruby Marks Adventures series for young readers. Prior to joining SWD, he spent more than 20 years working for companies great and small, across industries ranging from music and publishing to energy retailing and the federal government. In his roles as a data storyteller for SWD and highly regarded speaker across the US and Europe, he teaches individuals and organizations how to transform complex analyses into compelling, clear visual messages that are both understood and impactful.

And my LinkedIn page says:

I show people how data can make their communications more effective—and how better communications will make their data make a difference.

While none of these are false, they're also incomplete, in and of themselves and in combination. The full truth, as always, requires additional context that isn't present in the current dataset.

But I hope all this information is directionally accurate enough for you get get a sense of who I am, enough for your level of curiosity and interest, at least.

Thanks for visiting.