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Table of Contents

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  1. Preface
  2. Working with Transformations
  3. Address Validator Transformation
  4. Aggregator Transformation
  5. Association Transformation
  6. Bad Record Exception Transformation
  7. Case Converter Transformation
  8. Classifier Transformation
  9. Cleanse transformation
  10. Comparison Transformation
  11. Custom Transformation
  12. Custom Transformation Functions
  13. Consolidation Transformation
  14. Data Masking Transformation
  15. Data Masking Examples
  16. Decision Transformation
  17. Duplicate Record Exception Transformation
  18. Dynamic Lookup Cache
  19. Expression Transformation
  20. External Procedure Transformation
  21. Filter Transformation
  22. HTTP Transformation
  23. Identity Resolution Transformation
  24. Java Transformation
  25. Java Transformation API Reference
  26. Java Expressions
  27. Java Transformation Example
  28. Joiner Transformation
  29. Key Generator Transformation
  30. Labeler Transformation
  31. Lookup Transformation
  32. Lookup Caches
  33. Match Transformation
  34. Match Transformations in Field Analysis
  35. Match Transformations in Identity Analysis
  36. Merge Transformation
  37. Normalizer Transformation
  38. Parser Transformation
  39. Rank Transformation
  40. Router Transformation
  41. Sequence Generator Transformation
  42. Sorter Transformation
  43. Source Qualifier Transformation
  44. SQL Transformation
  45. Using the SQL Transformation in a Mapping
  46. Stored Procedure Transformation
  47. Standardizer Transformation
  48. Transaction Control Transformation
  49. Union Transformation
  50. Unstructured Data Transformation
  51. Update Strategy Transformation
  52. Weighted Average Transformation
  53. XML Transformations

Transformation Guide

Transformation Guide

Address Validation Projects

Address Validation Projects

You can use the Address Validator transformation in many types of project. You create an address template with different ports for each project type.
You can define an address validation project with one or more of the following objectives:
Create formatted addresses that conform to mail carrier standards
You can prepare a large address record set for a mail campaign. If you create the addresses in the format that the mail carrier prefers, your mail costs are significantly reduced. When you prepare addresses for mailing, select output ports that write each line of the formatted address to a single port. You can select a different port for the contact name, the street address lines, and the locality and post code lines.
Organize addresses by income and lifestyle indicators
You can add customer segmentation data to residential address records. Customer segmentation data indicates the likely income level and lifestyle preferences of the residents at each address. You select ports from the CAMEO output group to add customer segmentation data to address records. You can use customer segmentation data in mail campaigns that target multiple consumer markets.
Create addresses that are certified by the mail carrier
When you prepare a record set for Australia Post, Canada Post, or the United States Postal Service (USPS), you can add data that confirms the deliverability of each address.
The Address Validator transformation can generate reports to certify that the address records are complete and accurate to the data standards of each mail carrier.
Create addresses that meet regulatory requirements
You can verify that the address records held by your organization are accurate to industry or government regulations. Select output ports that write each address data element to a separate field. Also select the address validation status ports that provide detailed information on the accuracy and completeness of the output data.
Complete partial addresses
You can enter a partial address and retrieve the valid complete addresses that match the partial address in the reference data. To complete partial addresses, configure the transformation to run in suggestion list mode or interactive mode. You can enter the input address as a single line on the Complete Address port.
Improve the data quality of addresses
In parallel with other data projects, you can to improve the structure and general data quality of the address data set. For example, the data set may contain more columns that you need, or it may contain the same type of data across multiple columns. You can reduce the number of columns in the data set, and you can simplify the columns that you use for different types of data.

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