Mercedes-AMG Petronas Motorsport: Setting Up for Success by Expecting the Unexpected

Three C’s: Confidence, Clarity, Communication (and Collaboration Makes Four!)

While generating data is very easy for a team like Mercedes-AMG Petronas Motorsport, what is challenging is understanding it, which is what makes for a championship-winning team. Every improvement made needs to come from the data analyzed, with consensus amongst the group of specialists. A consistent view of data is important, as is having faith and trust in the data and the analysis produced. When looking ahead to a race weekend, Mercedes-AMG Petronas Motorsport has two uses for TIBCO Spotfire and TIBCO Data Science software. The first is analyzing previous races and previous circuits. The team can apply predictive algorithms to understand what changes were made at previous races to help them learn and predict what to do at future events.

The second use case focuses on dissection of the large magnitude of simulations to extract the optimum car setup and discover performance trends that help the team react to what it sees during a race weekend. The team no longer needs to wait on the latest data in order to send out an analysis report. Once the team accesses more complete information, they can continually develop analyses, provide pre-event predictions and information. Based on these predictions, stakeholders are able to create a picture of the race and understand, with confidence, that they have the best representation of the car for a set of anticipated conditions.

In this part of our "expecting the unexpected" series, learn how the team makes sense of its data with TIBCO's advanced analytics tools.