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To help you understand the effect of constructing and implementing a sub-optimal matchcode, the Evaluate Matchcode feature evaluates the five critical areas of a matchcode which determine whether one can expect the best throughput when running a process. Evaluate matchcode will indicate if your matchcode is optimized, has a warning, or is sub optimal.
Five Critical Matchcode Areas
First Component Used in All Set Columns
When the first component is not checked (not evaluated) in all used combinations, processing will be very slow, as matchkeys cannot be grouped by that first component into optimal neighborhood clusters.
If a component uses a fuzzy algorithm other than exact, each record compared will produce speed penalty on keybuilding or on that algorithms required computation when deduping.
When each key is compared, swapping one records values (for example: an inverse name format) and reattempting to identify a match will produce slower processing speeds.
Allowing one of the 2 values being compared to either be blank or a single initial will require the matchup engine to make an extra comparison(s) and will produce a speed penalty.
Advanced Matchcode Component Type
Most matchcode component types simply specify how to extract source data into a records matchkey, but Advanced types will also tell the deduping engine to perform a calculation foreach record compared, even if the Distance property is set to zero.