Table of Contents


  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 General Data Cleansing Rules

India General Data Cleansing Rules

Use the general data cleansing rules to identify the type of information contained in input fields.
Find the general data cleansing rules in the following repository location:
The following table describes the general data cleansing rules in the India accelerator:
Returns all alphabetic characters in upper case across multiple ports.
Validates the check digit of a number according to the Verhoeff Algorithm. The check digit is the final digit in the number. Returns Valid if the check digit is correct. Returns Invalid for an incorrect check digit and any non-numeric input.

Dependencies on Core General Data Cleansing Rules

The India accelerator depends on the following general data cleansing rules from the Core accelerator:
  • rule_Assign_DQ_Match_Code_Description
  • rule_Remove_Extra_Spaces
  • rule_Remove_Leading_Zero
  • rule_Remove_Limited_Punctuation
  • rule_Remove_Non_Numbers
  • rule_Remove_Punctuation
  • rule_Remove_Punctuation_and_Space
  • rule_Replace_Limited_Punct_with_Space
  • rule_UpperCase
For more information about these rules, see Core General Data Cleansing Rules.

Updated January 30, 2023



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