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Table of Contents

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

Transformation Guide

Transformation Guide

Decision Transformation Overview

Decision Transformation Overview

The Decision transformation is a passive transformation that evaluates conditions in input data and creates output based on the results of those conditions.
Configure a Decision transformation to generate different values based on the values found in input fields. For example, if customer revenue is greater than a specific amount, you can add the string "Priority" to the customer name.
You can add multiple decision strategies to the Decision transformation. Each strategy evaluates an
IF-THEN-ELSE
conditional statement. Within this statement, you can use
ELSEIF
conditions or nest additional
IF-THEN-ELSE
statements.
The Decision transformation is similar to the Expression transformation in that it allows you to use conditional statements and functions to test source data. However, the Decision transformation is different from the Expression transformation in the following ways:
  • The Decision transformation uses
    IF-THEN-ELSE
    statements to evaluate conditions. The Expression transformation uses
    IIF
    statements.
  • The Decision transformation contains functions that are not available in the Expression transformation.
  • Each decision strategy can generate multiple outputs.

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