Stage Set for Domopalooza 2020

When we launched Domopalooza back in 2015, we wanted to change the BI conference experience to align with our focus on changing the conversation around BI.

Given that the week-long event attracts an increasingly passionate community of customers who are building data-driven businesses, there’s no doubt that this conversation is one that gets more interesting by the year.

For that reason, I cannot wait for Domopalooza 2020, which will take place March 17-20 in Salt Lake City and again serve as a showcase for how the Domo Business Cloud is the solution for companies seeking to advance their competitiveness and value through better leverage of data.

As I said today when in New York to ring the Nasdaq closing bell—a day that marked the sixth anniversary of when we announced the first Domopalooza—we want customers to experience what it means to go fast, go big, and go bold.

While the Domo Business Cloud is built to empower companies to do just that, the conference is designed for any business executive, data professional or IT leader looking to understand exactly how we’ve made that possible.

Domopalooza is also that rare type of conference: one that people get excited about. Not only does it offer world-class networking, education, and entertainment (how awesome were Drew Brees and Carolyn Miles last year?), it provides inspiration that lasts well beyond the event.

After all, when you hear from customers of all sizes about how Domo is giving their teams and organizations BI leverage at cloud scale in record time, it’s easy to picture the sky becoming the limit for your own business.

As with previous years, the 2020 installment of Domopalooza will feature captivating keynote presentations and breakout sessions, as well as new product announcements and powerful demos.

Over the next few weeks, we’ll be unveiling the complete agenda—so, watch this space!

Or, simply make checking domo.com/domopalooza part of your daily routine. And get ready to reimagine how business can be done with data.