How does the Fuzzy Logic algorithm work in Screening?

KYC360's Fuzzy Logic algorithm is based on the Jaro Winkler bias which compares two strings of data and defines their likeliness based on a percentage match. Our system then filters out results that don't meet the minimum required percentage match threshold based on your criteria (for KYC360 Screening) or the search accuracy setting (for RiskScreen).

It is important to note that string 1 is the search term you input and string 2 is all existing Dow Jones profiles (including aliases) as such, we recommend that the legal identifier i.e. name of the individual / entity is entered in full. Variations of the name may also be entered if the individual / entity has a well-known alias i.e. Boris Johnson whose full name is Alexander de Pfiellel Boris Johnson.

In addition, it should also be noted that the similarity between string 1 and string 2 is defined by an algorithm, which takes into consideration name length, spaces between and additional characters (which are not letters) so whilst two strings may seem similar to the human eye, spelling variations or misspelt names when your criteria / search accuracy is set too high may filter out relevant results, even if the two results read as similar to the human eye i.e. John Smith versus Joan Smithe.