This talk provides lessons learned and key takeaways from the Data, Analytics, Technology and Athletics “DATA Bulls”, an applied data science project for undergraduate students built around sports analytics.
A look at how an unconventional approach to problem-solving within Maple Leaf Sports and Entertainment has unlocked innovative tools that’s creating massive impact across multi-disciplinary focus areas within the business. A deep dive on how this approach has created a new use for AR technology to disrupt and scale Toronto FC’s talent scouting processes, and the formalized MLSE Sport Performance Lab that aims to apply this way of thinking to new levels across basketball, hockey, soccer, football, and beyond to fundamentally change how the organization looks at innovation within sports business.
"… all models are wrong; the practical question is how wrong do they have to be to not be useful.” (George Box) Athletic departments at schools with under-enrollment have been caught in a bad-model trap, where the NCAA's accounting conventions lead them to make harmful economic decisions in the false belief they are cutting costs. Andy Schwarz (PCL, OSKR) works through why the accounting gets the economics so wrong, provides detailed examples from schools that have made mistaken cuts in 2020, and outlines a solution to avoid these errors going forward.
Bringing together the leading figures in sports analytics, business, and technology.