Pros and cons of using the zscore of a dataset before normalizing it during feature engineering? Normalization is a common feature engineering technique. However, this post used standardize(zscore) on the dataset before normalizing it.

I think that would result in losing some of the information in data.

What are the pros and cons of doing this?
Normalizing an already normalized dataset should not change anything unless for some reason a different normalization scheme is used.