A match algorithm applies a predefined match score to a pair of values when one or both values are null. You can edit the match score that a field match algorithm applies to null values.
Null Match Scores and Field Match Algorithms
When you configure a field match algorithm, verify the match score values that the algorithm applies to null data. A field match algorithm applies a default score of 0.5 when it compares two values and one or both values are null. A score of 0.5 indicates a low level of similarity between data values.
Consider the following rules and guidelines when you verify the null match scores:
When the algorithm analyzes columns that contain primary keys or other critical data, do not edit the default scores. In this case, a null value represents a data error, and the default scores are appropriate for the data.
When the algorithm analyzes columns that can optionally contain data, update the null match score values to the same value as the match threshold. You cancel the effect of the null values on the match analysis when you set the null match scores to the match threshold value.
Null Match Scores and Identity Match Algorithms
An identity match algorithm applies a match score of 0 when it compares two values and one or both values are null. Identity match analysis assigns a record with a null match score to a unique record cluster and records a cluster size value of 1. You cannot edit the score that an identity match algorithm applies to null data.