I'm kind of scratching my head at this. Typically, for data to be useful, there needs to be some dimensionality to the data and a way to make sense of it. There

I'm kind of scratching my head at this. Typically, for data to be useful, there needs to be some dimensionality to the data and a way to make sense of it. There's really no way to escape the underlying structure of the data if you want it to be useful. Can you elaborate a bit on some example use cases?