Alteryx and McLaren Racing have a strong partnership as advanced analytics is driving a new era of racing.
To go along with our latest Alter Everything podcast episode where we hear from Trevor Schulze, Alteryx’s Chief Information Officer, and Zak Brown, McLaren’s CEO, we wanted to share a demo of how Alteryx’s technology can be applied to racing data.
Check out the video below, where Vishal Soni (@vsoni) walks us through an Alteryx Machine Learning use case: determining which car configuration will result in the fastest lap time by optimizing the aerodynamics of a Formula One car.
Vishal demonstrates data setup, model setup, getting insights from the model results, simulation, exporting the model, and automation in the cloud.
To learn more about Alteryx Machine Learning, check out these articles:
The Power of Automated Machine Learning
Machine Learning for the Data Analyst
Why Alteryx Machine Learning
To learn more about McLaren + Alteryx, here are some resources:
5 Brilliant Ways McLaren Racing Uses Data to Meet Their Goals (That You Can Use, Too)
Tune Up Your Analytics with McLaren Racing
Formula 1 and Business: 4 Key Similarities
If you want to try Alteryx Machine Learning to answer your own optimization questions, you can start a free Alteryx Analytics Cloud trial here.
