Whether you're looking for a fuzzy matching percent or single client cleanup, Owl's duplicate detection can help you sort and rank the likelihood of duplicate data.
-ds customers \
-rd 2018-01-08 \
User Table has duplicate user entry
Carrisa Rimmer vs Carrissa Rimer
ATM customer data with only a 88% match
As you can see below, less than a 90% match in most cases is a false positive. Each dataset is a bit different, but in many cases you should tune your duplicates to roughly a 90+% match for interesting findings.