Table of Contents

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  1. Preface
  2. Introduction to Transformations
  3. Transformation Ports
  4. Transformation Caches
  5. Address Validator Transformation
  6. Aggregator Transformation
  7. Association Transformation
  8. Bad Record Exception Transformation
  9. Case Converter Transformation
  10. Classifier Transformation
  11. Comparison Transformation
  12. Consolidation Transformation
  13. Data Masking Transformation
  14. Data Processor Transformation
  15. Decision Transformation
  16. Duplicate Record Exception Transformation
  17. Expression Transformation
  18. Filter Transformation
  19. Hierarchical to Relational Transformation
  20. Java Transformation
  21. Java Transformation API Reference
  22. Java Expressions
  23. Joiner Transformation
  24. Key Generator Transformation
  25. Labeler Transformation
  26. Lookup Transformation
  27. Lookup Caches
  28. Dynamic Lookup Cache
  29. Match Transformation
  30. Match Transformations in Field Analysis
  31. Match Transformations in Identity Analysis
  32. Normalizer Transformation
  33. Merge Transformation
  34. Parser Transformation
  35. Python Transformation
  36. Rank Transformation
  37. Read Transformation
  38. Relational to Hierarchical Transformation
  39. REST Web Service Consumer Transformation
  40. Router Transformation
  41. Sequence Generator Transformation
  42. Sorter Transformation
  43. SQL Transformation
  44. Standardizer Transformation
  45. Union Transformation
  46. Update Strategy Transformation
  47. Web Service Consumer Transformation
  48. Parsing Web Service SOAP Messages
  49. Generating Web Service SOAP Messages
  50. Weighted Average Transformation
  51. Window Transformation
  52. Write Transformation
  53. Appendix A: Transformation Delimiters

Developer Transformation Guide

Developer Transformation Guide

Standardize Invalid Addresses

Standardize Invalid Addresses

Determines if the address validation process standardizes the data values in an undeliverable address. The property applies to address records that return a Match Code status in the range I1 through I4.
When you standardize the data, you increase the likelihood that a downstream data process returns accurate results. For example, a duplicate analysis mapping might return a higher match score for two address records that present common address elements in the same format.
Address validation can standardize the following address elements:
  • Street suffix elements, such as road and boulevard.
  • Predirectional and postdirectional elements, such as north, south, east, and west.
  • Delivery service elements, such as Post Office Box.
  • Sub-building elements, such as apartment, floor, and suite.
  • State or province names. Standardization returns the abbreviated forms of the names.
The following table describes the options on the property:
Option
Description
Off
Address validation does not correct data errors. Default option.
On
Address validation corrects data errors.

Parameter Usage

You can assign a parameter to specify the standardization policy for data errors. Enter OFF or ON as the parameter value. Enter the value in uppercase.

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