Lessons for Every Industry
In Detail: 2021
- Cost Visualization
- Predictable Outcomes
Leveraging Advanced Simulations
Continuous success relies upon calculated preparations for each unique racing situation. To achieve the best racing outcomes, the team simulates millions of racing scenarios and car configurations to devise the best strategies and ensure the best cars are on-track any given race day.
Winning Data-Centric Strategies
In Detail: 2020
- Data Foundation
- Constant Adaptations
- In-the-moment Decisions
Laying a Foundation for Long Term Success
Formula One™ racing is probably the most competitive, technology-intensive sport in the world. To achieve continuous success and keep competitors at bay, teams must expertly wrangle the volume, variety, and velocity of their data and turn it into a competitive advantage that fuels innovation.
Fast Decision-making Race after Race
Data analytics supports the game plan and the minute-by-minute decisions made by the garage, drivers, and other team stakeholders. With every new circuit, unrelenting competitors, and changing weather and track conditions, data analytics and decision-making are crucial.
In Detail: 2019
- Optimal Car Setup
- Reliability Testing
- Digital Twins
Expecting the Unexpected
Data is central to Formula One™. Teams sift through billions of parameter combinations to find the fastest possible setup for that track, that day, that car, that driver. With so many variables and changing conditions, it’s impossible to fully prepare. But here's how Mercedes-AMG Petronas Formula One Team expects the unexpected.
Continuous Innovation & Collaboration
Here’s how the team uses data to bring insight and build a superior understanding leading to operational excellence and competitive advantage. This story describes its use of aerodynamics testing in a wind tunnel, and dynamometer and hydraulic testing to assess and improve the reliability of components.
Digital Twins Throw Down Big Gains
Factors contributing to Formula One™ car performance include design, aerodynamics, configuration, strategy—and the unsung hero—simulator analytics. F1™ teams, like Mercedes-AMG Petronas Formula One, use simulators that mimic the real track experience, a digital twin that maximizes limited on-track testing time.
Fueling Industries Beyond the Track
Internet of Things
The modern data-centric economy is exploding with connected devices. Businesses need to integrate them, aggregate the massive flow of disparate data into a cohesive view, analyze, then quickly act on the insights. Learn more about using the Internet of Things like the F1 team.
Digital twins are models of physical systems and offer tremendous value. One example is digitally monitoring physical assets and predicting when maintenance is needed to reduce downtime. Learn more about how the F1 team has turned digital twins into a competitive advantage.
TIBCO Hyperconverged Analytics allows an understanding of past and present trends so you can make informed decisions and achieve better outcomes. Learn more about how hyper-converged analytics delivers predictive insights at scale.