Mercedes-AMG migrates to TIBCO for enhanced data analysis
TIBCO's platform is helping to model data to refine Mercedes-AMG Petronas Motorsport's Formula One performance
Mercedes-AMG Petronas Motorsport has opted to take on TIBCO's data analytics services, including its Spotfire and Data Science technologies to help the company make better decisions when refining its race cars.
Mercedes-AMG can analyse terabytes of dynamic data from races via its Connected Intelligence platform, helping it uncover anomalies and make informed decisions when tweaking car performance.
"Mercedes-AMG Petronas Motorsport are committed to developing the car throughout the season to stay ahead of competition," said Thomas Been, chief marketing officer at TIBCO. "With new regulation changes in place for the 2019 season, data will be key to success. We wish them success in 2019, as we work together to enhance performance, improve reliability, and reduce lead-times."
Mercedes-AMG Petronas Motorsport has tested millions of simulations with TIBCO Spotfire, inputting variations to visualise how changes will impact performance. The company's Data Science platform enables the company to create and validate data science models used to analyse the information.
The autosport business said it chose to use TIBCO's data analysis platform because it can help uncover the most relevant insights into the racing car company's performance, both throughout the season and beyond.
"TIBCO technology not only provides our team with unique insights about the W10, but also gives us the necessary, real-time data we need to take the right risks at the right time to make decisions that ultimately enhance performance and help win races," said Toto Wolff, team principal and chief executive officer, Mercedes-AMG Petronas Motorsport.
"The TIBCO Connected Intelligence platform plays a key role in helping us achieve success, and we are excited for it to continue to help the team in 2019."
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