SAP helps McLaren run better with HANA. A series of three dashboards were produced to illustrate SAP’s contribution to their relationship with McLaren’s Formula 1 Team. The dashboards were created for the annual SAPPHIRE NOW conference. Each dashboard is an exploration into the types of insights, and moreover, predictions, HANA can provide to the McLaren Formula 1 Team.
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SAP helps McLaren run better with HANA. A series of three dashboards were produced to illustrate SAP’s contribution to their relationship with McLaren’s Formula 1 Team. The dashboards were created for the annual SAPPHIRE NOW conference.

Each dashboard is an exploration into the types of insights, and moreover, predictions, HANA can provide to the McLaren Formula 1 Team.

The entire piece. Original dimensions — 1920 x 1080
Jenson Button Details
Lewis Hamilton Details
Lewis Hamilton Details
Jenson Button Details
SAP Mclaren F1 Race Dashboard

Driven by real McLaren telemetry data, the animated dashboard shows how SAP & McLaren use live data to make predictions that inform the team. Their analysis allows them to direct the driver and monitor for any potential mechanical problems that may need to be dealt with, improving efficiency on subsequent laps. The McLaren Engineering Team utilizes SAP's HANA product to make sense of this big data in real-time. We were tasked with demonstrating HANA’s value to the McLaren team.

Research

To understand the intricacies of a Formula 1 race, we watched past and current races, studied telemetry sheets, and read expert analysis of team race strategies.

Medium, Users and Constraints

The produced piece was displayed on a 60 inch screen at SAP's McLaren booth at the SAPPHIRE NOW 2012 conference. It was used by representatives on the conference floor to highlight the possible business applications and benefits that HANA brings to big data analysis.

tradeshow booth
McLaren installation at SAPPHIRE NOW 2012
tradeshow booth
McLaren installation at SAPPHIRE NOW 2012
tradeshow booth
McLaren installation at SAPPHIRE NOW 2012
tradeshow booth
McLaren installation at SAPPHIRE NOW 2012
tradeshow booth
McLaren installation at SAPPHIRE NOW 2012
Simulation Concept

The concept was to expose the quantity and types of data HANA deals with by simulating a few laps from an actual F1 race. Driven by real McLaren data and inspired by actual pit-crew telemetry screens, we re-imagined the F1 dashboard. To make the displayed information more relatable and its real-world consequence more apparent, we included a 3D animation of the F1 car that reacts to the race data.

Car
The Car

A 3D model of the MP4-27 McLaren F1 car was created, textured, and animated driving in a straight line, turning, and experiencing lock-up. To keep things simple, a few scenarios were modelled, which would loop based on the data being fed into the dashboard.

Sourcing The Track

During our research we discovered that using Google Maps, we could virtually drive on the Italian GP track: Autodromo Nazionale Monza.

The tight timeline of the project did not allow us to model the entire track for our 3D MP4-27s to drive on, so we decided to make several road scenarios, looping through them according to the drivers’ position on the track.

Moving road at ~280kph . Who-hoo!
Moving in a Straight Line

The piece of road we used on a loop for driving straight was sampled from the actual track where the Italian GP is held.

We didn’t mind the repeating pattern, in fact, we needed it–once motion-blurred, this texture would give us a smooth, varying road beneath the car.

Making a Turn

We researched how an F1 car turns–specifically, how a turn looks on the Monza track. Since each turn is different, focus was put on one particular turn.

Building Turn Assets

During a turn in the animated race, a spinning pinwheel moves closer to the car to simulate the car making a turn in that direction. How close the car gets to the pinwheel correlates to the angle of the turn; the closer the car comes, the tighter is the turn. On wide turns the pinwheel barely comes into view.

Check out how we created the pinwheel by clicking through the steps:

Pit Stop
Pit Stop
Pit Stop
Pit Stop
Pit Stop
Pit Stop
Pit Stop
Pit Stop
Pit Stop Assets

Google Maps was used to simulate the pit stop section of the road.

Predictive Timeline

The predictive race timeline we developed highlights HANA's real power: going beyond real-time analytics to predictive analytics. The timeline shows prospective future events, such as optimal pit-stop windows, potential tire failure, and predicted fuel range. These predictions are dynamic—deduced from live race data and constantly updated based on real-time analytics.

HANA predicting future events, such as tire failure, optimal pit windows and fuel outages.
Putting it All Together

The result is an effective re-imagining of the analytics dashboard used by F1 race teams and a communication tool highlighting the power of SAP's tools.