You never know who you might run into on Miami Beach…
Art Basel, Miami’s biggest creative event, brings all sorts of characters to town. Two of our founders decided to avoid the crowds and post up at a popular Miami Tech hotspot where we often like to go for meetings and focused work. Interesting people inevitably walked by, and while the likes of Diamond Duster Russell Young were plenty inspiring, we walked straight into a friend who had texted that they were in town. Let’s call them Jenny. Jenny has been working in sports medicine for the past five years across multiple pro teams and sports.
Even during Art Week in the Offseason, frustration was surface-level
Jenny’s team just dropped the biggest-name AMS after three straight management staff failed to get what they wanted out of it. None of the promised analytics capabilities were native and it was too limited yet complex for most staff to use. Next, they trialed a newer company in the space, but after an hour-long onboarding meeting, most of them still couldn’t even figure out how to log in and get set up, much less make use of the platform.
User Interface & User Experience is why we’re building from the inside-out.
Sometimes a problem-solution set is so obvious and simple that one can become paranoid about its utility. More than 25 global sports teams have had hands-on time helping to design our software, making it truly by pros, for pros! Functions, features, literally where the buttons are–all directly influenced by the best minds in the industry. Bells and whistles don’t matter unless stakeholders with different cultures and preferences can easily USE the product. As another friend says, “everything boils down to engineering and design”.
What’s the point of aggregating data if true analytics aren’t accessible?
Getting all data into one place is an undeniably central pain point. Moving past obsolete legacy infrastructure into The Cloud and acing the API game certainly helps…but then what? It’s important to be able to do something with all that data, to be able to ask questions of it and draw insights that are actionable, not just interesting. These days, innovation is moving so fast, we’re all learning at 200mph. By skipping past business intelligence and going straight to data science as a service, we’ll make it possible for Jenny to actually make data-driven decisions; isn’t that the point?
