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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

India Matching and Deduplication Rules

India 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_IND_IMO_Company_Name_and_Address_Match
Uses identity match strategies to identify duplicate rows for India data based on company names and addresses. The mapplet generates group keys from the postal code data.
mplt_IND_IMO_Familyname_and_Address_Match
Uses identity match strategies to identify duplicate rows in India data based on family names and addresses. The mapplet generates group keys from the postal code data.
mplt_IND_IMO_Individual_Name_and_Address_Match
Uses identity match strategies to identify duplicate rows in India data based on person names and addresses. The mapplet generates group keys from the postal code data.
mplt_IND_IMO_Personal_Name_and_Data_Match
Uses identity match strategies to identify duplicate rows in India 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, driver license number, tax number, or email address. The mapplet generates group keys from the personal data.
mplt_IND_Individual_Name_and_Address_Match
Uses field match strategies to identify duplicate rows in India data based on person names and address data. The mapplet generates a NYSIIS value from the first four digits of the postcode, the first letter of the surname, and the first five characters of the first name. The mapplet uses the NYSIIS value to generate group keys.
mplt_IND_Individual_Name_and_Date_Match
Uses field match strategies to identify duplicate rows in India data based on person names and dates. The mapplet generates group keys from the date data.
mplt_IND_Individual_Name_and_Email_Match
Uses field match strategies to identify duplicate rows in India data based on person names and email addresses. The mapplet generates group keys from email address data.
mplt_IND_Individual_Name_and_Phone_Match
Uses field match strategies to identify duplicate rows in India data based on person names and telephone numbers. The mapplet generates group keys from the telephone number data.
mplt_IND_Individual_Name_Match
Uses field match strategies to identify duplicate rows in India data based on person names. The mapplet generates NYSIIS codes from the surname values and uses the NYSIIS codes as group keys.
rule_IND_Individual_Name_and_Address_MatchScore
Compares person name and address fields across records in India data and generates a match score.
rule_IND_Individual_Name_and_Date_MatchScore
Compares person name and date fields across records in India data and generates a match score.
rule_IND_Individual_Name_and_Email_MatchScore
Compares person name and email fields across records in India data and generates a match score.
rule_IND_Individual_Name_and_Phone_MatchScore
Compares person name and telephone number fields across records in India data and generates a match score.
rule_IND_Individual_Name_MatchScore
Compares person name fields across records in India data and generates a match score.