It is like getting a static map of the country's roads with no cars on it.
You can not make it come alive with cars (activity), but you can infer where people need to drive but you don't know when and why they drive or what they are doing, but it is a major clue.
I was thinking it was more like giving somebody iPhone schematics and die shots of all the chips and then asking them to figure out how Portrait Mode works in the Camera app.
It's unlikely that brains have an abstraction layer like that, so work like this is a necessary precondition to understanding the rest of how it works. That actual understanding may be elusive for quite some time to come, but without a connectome, forget it, no change.
Luckily this is science so we can actually find out.
And maybe there’s some data or concept that will one day be discovered that will be the key to unlocking how brains work.
For my analogy, I was thinking more of how the connectome is, like schematics, static and the dynamic part is probably more interesting.