Data Science

Machine learning & data science for beginners and experts alike.
MeganDibble
Alteryx Community Team
Alteryx Community Team

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.

Megan Dibble
Sr. Content Manager

Hi, I'm Megan! I am a Sr. Content Manager at Alteryx. I work to make sure our blogs and podcast have high quality, helpful, and engaging content. As a data analyst turned writer, I am passionate about making analytics & data science accessible (and fun) for all. If there is content that you think the community is missing, feel free to message me--I would love to hear about it.

Hi, I'm Megan! I am a Sr. Content Manager at Alteryx. I work to make sure our blogs and podcast have high quality, helpful, and engaging content. As a data analyst turned writer, I am passionate about making analytics & data science accessible (and fun) for all. If there is content that you think the community is missing, feel free to message me--I would love to hear about it.

Comments
CailinS
Alteryx
Alteryx

I assume this podcast / demo will be on repeat for you  @DanM 🏎

VishalChothani
5 - Atom

hi

MxS
7 - Meteor

Great podcast and demo -- especially interesting to see this use case with such a high profile sport!

 

Perhaps someone from McLaren, or any other industry, might weigh-in with a comment about a critical challenge with this type of use case: how do you use Alteryx to optimize the racecar for multiple criteria, not just minimizing lap time? For example, I might want to minimize lap time, and simultaneously minimize lap time variance (assuming more than one lap). Ideally the racecar should run low lap times, consistently!

 

Formulating a goal function comprising of these two dependent variables (average lap time, lap time variance) is a possibility, but this gets complicated quickly with the addition of each dependent variable. Furthermore, a real optimization use case has to account for variation in the independent variables -- no point in identifying a point solution, only to discover any minor deviation in the input values causes the outputs to go off a cliff.

 

We've solved these real-world challenging problems, but unfortunately have do it outside of Alteryx. I am curious about the following:

 

1. How does a race team (or any other industry) formulate a probabilistic optimization for competing multiple criteria?

2. Is it possible to implement the solution in Alteryx?