The Champion Behind F1 Hungary GP 2022: Data

The F1 race tracks are one of the fastest places with needed high-speed accuracy and credibility to ensure players stand a chance to win. Witness how the race utilizes data to make the best decisions behind wheels and tracks, turning variables into strategies and possibilities into reality – all with the almighty champion of DATA!

The fast-paced world of racers and tracks from Formula 1 are back at its best with the recent Hungarian Grand Prix 2022 held in the Hungaroring Budapest track full of high-tech vehicles, speed, and driving skill. The attraction of these F1 Races are undoubtedly exhilarating and nerve-wracking for drivers, teams, and fans to watch. Especially to witness a “glory moment” by Max Verstappen winning the podium with a pitch-perfect execution of Oracle Red Bull and its brilliant strategist, Hannah Schmitz.

You heard about the quote, “Team work makes dream works” – and surprisingly it does come true for Verstappen and the Red Bull Racing F1 team. Both driver behind the wheels and strategist behind the tracks work hand-in-hand to achieve the best strategy to win the Number 1 spot, especially in a high-speed race with countless variables. So how does both get to play their part as one team?

Hand Behind Wheels, Data Behind Tracks.

Max Verstappen might have driven the car and avoided the obstacles, but there’s actually one more crucial ingredient behind this fueling race – DATA. As you may know, data is one of the most powerful tools and valuable assets to businesses, especially when used with the right recipe, not only making money but Red Bull proved it can turn data into a victory!

For the Red Bull Team, data isn’t merely just statistics but strategy. Every data related to the driver, vehicle, track, and race are taken into consideration to execute the best possible outcome for decisions. As a strategist, Hannah Schmitz must consider the what, when, where, and how – putting together every factor of calculation to expect the unexpected. The high-level of preparation is used as the principal strategy engineer for the team. By using Monte Carlo simulations running on Oracle Cloud Infrastructure (OCI), they were able to estimate the possible outcomes of an uncertain event using the technique to test billions of scenarios and combinations.

They must consider all the odds and evens, and predict and expect the most out of everything. The huge amount of data and reports use recent race analysis and precedent data for the track to help predict the performance of the tire, machines, engines, and the car. Including all the track’s curve and points, weather forecasts and wind speed, and many more scenarios of possible outcomes to use data to better estimate all of the variables and keep refining the models until they find “the right key to winning”. 

All led up to the victory of Verstappen for the Hungarian GP proved how predictive analytics in data simulation could solve a problem and even provide a solution to the most surprising way in the race track. And finally, the key to how Hannah Schmitz led the Red Bull Racing Team to the best-recovery win  – the same data, but a different approach.

Data for Future Decision Making.

It has been proved that running against all odds and randomness gives you a solution to a problem. In simple terms, “data is key” – not only to acquire and keep it, but you need to manage the best out of its business and information. Monetizing data to generate profit is the baseline for every business in the industry, but have you tried data for decision-making? Well, this one will revolutionize your business to a whole new level!

The use of data isn’t merely to just analyze, but also to run it for predictions and simulations. Having your valuable data run on simulation and predictive analysis is the process of advanced analytics to make predictions about future outcomes using current and past data combined with statistical modelling, data mining, and machine learning. Simply, your data will be run through simulation and prediction to find patterns, identify risks, and find opportunities.

And the future for these advanced analytics has so much potential not only to predict and find, but also to make decisions for the best possible outcomes in major industries such as forecast sales, marketing strategies, product development, market research, and many more things that you might haven’t thought of – like winning an F1 race! 

So, are you ready to be the racer of the industries and head-on for the future with DATA?

And exciting news ahead… the World Tech Festival 2022 is less than 6 weeks away! Along with interactive sessions and expert presentations to discuss more about all things tech and the latest trends similar to this topic of data science and engineering. Join the trend with thousands of others. Sign up now it’s free!