Use only one Match Pass.

Set critical values for important fields.

Add additional passes.

Adjust weights using weight overrides.

group records together that are considered duplicates.

discover trends and anomalies.

identify invalid and default values.

examine single domain and free-form text fields.

The severity of false positives and false negatives.

The significance of discriminating value and frequency.

The degree of importance of a particular data field.

The confidence of a match.

Information on how to perform calculation with the data.

Logic for parsing, classifying, and pattern processing the data.

Rules for eliminating columns of data.

Rules on which records to keep.

Survive

Investigate

Transform

Standardize