Constrained vs Unconstrained
What is the difference between the two search types?
Constrained searching
The system will search against the dataset, either Dow Jones, Lexis Nexis or Worldcheck, constrained on the first letter match typed in. For example, if searching Boris Johnson, the first letter the system would look for would be "B" excluding all profiles where the name match does not begin with "B". Our fuzzy logic is used on the remaining letters within the search term.
This will reduce false positives returned, on the provision that the first letter is accurate to the name held on profile by the data provider.
Unconstrained searching
As a counter-part to the constrained searching, Unconstrained searching considers every variation of each letter, using our Fuzzy logic.
However, you may notice that when searching there is no differences in the results returned when the name entered matches exactly to any existing record on Dow Jones, Lexis Nexis or Worldcheck
Example: If searching for Jones then constrained searching would only apply the fuzzy logic to "ones" and all names would start with "J". With Unconstrained searches, you would get "Bones" and "Lones" returned if the match percentage was met. Whereas, in comparison with Constrained searching you will not get "Bones" or "Lones" but would get "Jonex" (dependent on the criteria)
For more information on the Fuzzy logic please find our article on Fuzzy logic in Screening here