I’ve found phonetic similarly algorithms like this to be very useful for data cleaning work, especially when your data generating process involves transliteration. That is, if your users know Language A but your data involves Language B, your users will record terms from Language B with highly varied spellings that nonetheless sound very similar when pronounced. Phonetic similarity algorithms help you cluster these spellings together by sound so you can map them to a canonical term from Language B.