The Use of Data Analytics in Recruitment
March 11th, 2019
We’re coming up to the end of the 2017 season. The championship battle might be over but there is still plenty of work for the teams to do as they get ready for the 2018 title fight (here’s to another Hamilton win!). Big Data and analytics play a huge part in helping the teams find that edge, and get ahead of the competition.
Data and particularly the Internet of Things (IoT) is what drives these teams forward to become better as each race passes. Each car on the grid is fitted with multiple sensors all collecting a mass of data. For example, each Mercedes car has 200 sensors generating over 300GB of data in just one race weekend!
Tracking stats from tire pressure, fuel efficiency, brake temperature and more, these sensors allow the cars to feed real-time data to the pit crew and engineers and can allow them to make better and quicker decisions regarding the car and race strategy.
The data and sensors play a part in the entire race weekend, from Friday practice to the race on Sunday. The data during the free practice sessions can help the engineers spot potential problems, predict qualifying results and the outcome of the race.
During the race the data can help the engineers see, for example, how aggressively the driver is racing by looking at the fuel consumption and tire degradation. They can speak to the drivers and change the strategy accordingly.
And this data and analytics doesn’t just help for the races during a season, it can help with the development of the car and engine for the next one, as many teams are now “focusing on next year” the data they have been collecting from the races this season, and the ones still to come, can help gain that edge on next year.
F1 has definitely become data driven, while the driver’s skills still play a major part in the race so does the telemetry and the data collected during race weekends. Whether you like the data driven hybrid era of F1 one thing is for sure, the future of F1 is going to mean more data.
I’m excited to see how the teams continue to take advantage of the data available to them, and for a (hopefully) exciting 2018 season!
How do you think big data can keep changing F1 in the future? Do you want to see it be used even more?
This blog was originally published on LinkedIn. To read the original blog click here