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.
-f file:///home/ec2-user/single_customer.csv \-d "," \-ds customers \-rd 2018-01-08 \-dupe \-dupenocase \-depth 4
Carrisa Rimmer vs Carrissa Rimer
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.