What makes a carbon footprint calculation credible?

There are many, many parts to that.

We're starting with, you know, rubbish in, rubbish out.

You need good quality data.

The whole like a reliable cover for print, I'd say that there would be three things here.

One having to do with, are we calculating it correctly? Can we be certain that the equations that are being used are done correctly? And the second one is having to do with how much actual data do we have for making the calculation? How much of the primary activity data do we have in a given calculation compared to then how much statistical proxy data do we use? And then thirdly, what is the quality of that primary activity data that we use for the calculation? And these three things need to be treated quite differently and there are different ways to assessing them.

And here in the setup that we use that on the calculation part with our platform and our system, we control all the calculations so we can guarantee that the calculations are made correctly.

So I guess what I'm wondering is, how can companies find this balance of having good enough data? So they're not spending all their time trying to get this primary perfect data, but equally, they have robust enough data to actually make a meaningful decision that will have an impact