James Vowles

And so we're sort of this very complete stack from top to bottom.

And that makes us quite unique in the world as a result of it.

And the technologies you need for those different areas are different.

So within manufacturing, you need something called ERP, PLM.

So you need ways of basically...

If you imagine a race car, the race car is made up of 50,000 components, and each of those components can have sub-components, effectively.

It can be a bolt, a washer.

You need to be able to break down the whole car to see every single component that goes into it, because every car that we bring to a race is different.

I've already mentioned the upgrades we put on the car, but we set the car up differently as well.

For each driver or for each race or both?

Both, effectively.

So you need a system of being able to keep on top of all of the thousands of different parts that you need, what builds into it, have you got enough spares that track?

That's what, effectively, parts tracking, ERP, PLM systems allow you to structure properly behind the scenes.

You need design software, which is what our designers use at the same time, and ways of working with them that the information is freely available to everyone at the same time.

In aerodynamics, you need computational fluid dynamics software that allows you to do wind tunnel testing, so big fan switching on and blowing on a physical object, and theoretical worlds, simulation worlds, simulate at the same time.

You need software to be able to analyze data that's being spat out of your simulator, because that's working nearly 24 hours a day, or your simulation tools, that's definitely working 24 hours a day, or the track.

So we have data in tons, but bringing it together and having the ability to view it in a useful way for human beings is a core part of some of the software that we're using.

The next part of it is this.

We are, as I said, we're data rich, but we're not big data.

That's different.