We often analyse them as separate layers.

Projects don’t experience them that way.

A site can score strongly against five criteria and still fail because of the sixth. More importantly, the relationships between those criteria can create constraints that aren’t obvious when each dataset is viewed independently.

Power is a good example.

Knowing that infrastructure exists nearby is useful. Understanding available capacity is better. But neither answers the complete question if the route to connect it crosses land you can’t secure, requires infrastructure that won’t arrive in time, or creates a programme that no longer works commercially.

The same applies to fibre, planning and construction.

This is where site selection becomes less about collecting more data and more about understanding how that data interacts.

The question isn’t:

Does this location have land, power and connectivity?

It’s:

Can land, power, connectivity and the wider delivery environment come together to support this particular requirement?

Maps naturally encourage us to think in layers.

Real-world infrastructure doesn’t.

The intelligence sits in the connections between them.