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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

Configuring a Weighted Average Transformation

Configuring a Weighted Average Transformation

You use the Weighted Average transformation to adjust the overall match score that a mapping generates for a series of match analysis operations. You edit the relative weights of each input port to reflect the priorities of the data comparisons that you defined for the source data set. Each input port on the Weighted Average transformation represents a match score output from a Comparison transformation strategy.
The following steps describe the process to configure a non-reusable Weighted Average transformation in a mapplet or mapping that uses Comparison transformations.
  1. Open a match analysis mapplet or mapping, and add a Weighted Average transformation downstream of the Comparison transformations.
  2. Connect the score output from a Comparison transformation to a Weighted Average input port.
    Repeat this step for other Comparison transformations in the mapplet or mapping.
  3. Select the
    Ports
    tab on the Weighted Average transformation.
  4. Double-click the
    Weight
    field for each input, and enter a weight value between
    0.001
    and
    1
    . The weight value should reflect the relative importance of the input score when compared to other inputs on the transformation.
  5. Save the mapplet or mapping.

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