Using the Data Quality Accelerator for Crisis Response

Using the Data Quality Accelerator for Crisis Response

Matching and Deduplication Rules

Matching and Deduplication Rules

Use the matching and deduplication rules to measure the levels of similarity between the records in data sets.
Find the matching and deduplication rules in the following repository location:
[Project_Name]\Rules\Matching_Deduplication
The following table describes the matching and deduplication rules:
Name
Description
mplt_Individual_Name_and_Address_Match
Uses field match strategies to identify duplicate rows based on person names and United States address data. The mapplet uses a combination of characters from the surname values and the postal code values to generate group keys.
mplt_Individual_Name_and_Email_Match
Uses field match strategies to identify duplicate rows based on person names and email addresses. The mapplet generates group keys from the email address data.
mplt_Individual_Name_and_SSN_Match
Uses field match strategies to identify duplicate rows based on person names and United States Social Security numbers. The mapplet generates keys generated from the Social Security number data.
mplt_USA_IMO_Individual_Name_and_Address_Match
Uses identity match strategies to identify duplicate rows in United States data based on person names and addresses. The mapplet generates group keys from the postal code data.
mplt_USA_IMO_Personal_Name_and_Data_Match
Uses identity match strategies to identify duplicate rows in United States data based on person names and personal data. The fields in the personal data column must contain a single type of data, such as telephone number, email, or Social Security number. The mapplet generates group keys from the personal data.
rule_Individual_Name_and_Address_MatchScore
Generates a match score based on person names and United States address data.
rule_Individual_Name_and_Email_MatchScore
Generates a match score based on person names and email addresses.
rule_Individual_Name_and_SSN_MatchScore
Generates a match score based on person names, Social Security numbers, and identification data.

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