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  1. Preface
  2. Introduction to Accelerators
  3. Core Accelerator
  4. Data Domains Accelerator
  5. Australia/New Zealand Accelerator
  6. BCBS 239/CCAR Accelerator
  7. Brazil Accelerator
  8. Financial Services Accelerator
  9. France Accelerator
  10. Germany Accelerator
  11. India Accelerator
  12. Italy Accelerator
  13. Portugal Accelerator
  14. Spain Accelerator
  15. United Kingdom Accelerator
  16. U.S./Canada Accelerator

Accelerator Guide

Accelerator Guide

Italy Matching and Deduplication Rules

Italy Matching and Deduplication Rules

Use matching and deduplication rules to generate match scores and identify duplicate records.
Matching and deduplication rules install to the following repository location:
[Informatica_DQ_Content]\Rules\Matching_Deduplication
The following table describes the matching and deduplication rules:
Name
Description
mplt_Company_Name_Match
Uses field match strategies to identify duplicate rows based on company names. The mapplet generates Soundex codes from the company name values and uses the Soundex codes as group keys.
mplt_ITA_Company_Name_and_Address_Match
Identifies duplicate rows in data based on company name and address data from Italy. The mapplet uses a combination of characters from the company name values and the postal code values to generate group keys.
mplt_ITA_Familyname_and_Address_Match
Identifies duplicate rows based on surname and address data from Italy. The mapplet uses a combination of characters from the surname values and the postal code values to generate group keys.
mplt_ITA_Firstname_3CharsSurname_DOB_and_Postcode_Match
Uses field match strategies to identify duplicate rows in Italian data based on person names, the first three characters of the family names, dates of birth, and postal codes. The mapplet generates group keys from the postal code data.
mplt_ITA_Firstname_and_PID_Match
Uses field match strategies to identify duplicate rows in Italian data based on person names and personal identification numbers. The mapplet generates group keys from the personal ID data.
mplt_ITA_Firstname_Surname_2ElementsDOB_and_Postcode_Match
Uses field match strategies to identify duplicate rows in Italian data based on person names, two elements of the date of birth, and postal codes. The mapplet generates group keys from the postal code data.
mplt_ITA_Firstname_Surname_DOB_and_Postcode_Match
Uses field match strategies to identify duplicate rows in Italian data based on person names, dates of birth, and postal codes. The mapplet generates group keys from the postal code data.
mplt_ITA_IMO_Familyname_and_Address_Match
Uses identity match strategies to identify duplicate rows in Italian data based on family names and addresses. The mapplet generates group keys from the postal code data.
mplt_ITA_Individual_Name_and_Phone_Match
Uses field match strategies to identify duplicate rows based on Italian person names and telephone numbers. The mapplet generates group keys from the telephone number data.
mplt_ITA_Individual_Name_Match
Uses field match strategies to identify duplicate rows in Italian data based on person names. The mapplet generates NYSIIS codes from the surname values and uses the NYSIIS codes as group keys.
rule_Company_Name_MatchScore
Generates a match score based on company names.
rule_Individual_Name_MatchScore
Generates a match score based on person names.
rule_ITA_Company_Name_and_Address_MatchScore
Generates a match score based on company names and Italian address data.
rule_ITA_Familyname_and_Address_MatchScore
Generates a match score based on surnames and Italian address data.
rule_ITA_Firstname_3CharsSurname_DOB_and_Postcode_MatchScore
Generates a match score based on first names, the first three characters of the surnames, dates of birth, and postal codes.
rule_ITA_Firstname_and_PID_MatchScore
Generates a match score based on first names and personal identification numbers.
rule_ITA_Firstname_Surname_2ElementsDOB_and_Postcode_MatchScore
Generates a match score based on the following information:
  • Person names
  • Any two date of birth elements, such as month and year
  • Postal codes
The rule assumes that the date format is DD/MM/YYYY.
rule_ITA_Firstname_Surname_DOB_and_Postcode_MatchScore
Generates a match score based on the surnames, dates of birth, and postal codes.
rule_ITA_Individual_Name_and_Phone_MatchScore
Generates a match score based on person names and telephone numbers.