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. Macro Transformation
  30. Match Transformation
  31. Match Transformations in Field Analysis
  32. Match Transformations in Identity Analysis
  33. Normalizer Transformation
  34. Merge Transformation
  35. Parser Transformation
  36. Python Transformation
  37. Rank Transformation
  38. Read Transformation
  39. Relational to Hierarchical Transformation
  40. REST Web Service Consumer Transformation
  41. Router Transformation
  42. Sequence Generator Transformation
  43. Sorter Transformation
  44. SQL Transformation
  45. Standardizer Transformation
  46. Union Transformation
  47. Update Strategy Transformation
  48. Web Service Consumer Transformation
  49. Parsing Web Service SOAP Messages
  50. Generating Web Service SOAP Messages
  51. Weighted Average Transformation
  52. Window Transformation
  53. Write Transformation
  54. Appendix A: Transformation Delimiters

Developer Transformation Guide

Developer Transformation Guide

Identity Match Algorithms

Identity Match Algorithms

The Match transformation includes predefined identity algorithms that compare the data values in the identity index. Select the algorithm that best represents the type of identity data in the data set.
The following table describes the algorithms and identifies the inputs that you select for each one:
Identity Algorithm
Description
Address
Identifies records that share an address.
The algorithm requires the following primary input:
  • Address
The algorithm does not require a secondary input.
Contact
Identifies records that share a contact at a single organization location.
The algorithm requires the following primary inputs:
  • Person_Name
  • Organization_Name
  • Address_Part1
The algorithm does not require a secondary input.
Corp Entity
Identifies records that share corporate identification data. Optionally, select this algorithm to analyze address and telephone data.
The algorithm requires the following primary input:
  • Organization_Name
The algorithm does not require a secondary input.
Division
Identifies records that share an office location within an organization.
The algorithm requires the following primary inputs:
  • Organization_Name
  • Address_Part1
The algorithm does not require a secondary input.
Family
Identifies individuals that belong to a family. Analyzes name, address, and telephone number data.
The algorithm requires the following primary input:
  • Person_Name
The algorithm requires one of the following secondary inputs:
  • Address_Part1
  • Telephone_Number
Fields
Identifies records that share data on ports that you select.
The algorithm does not specify any required input. Select the port or ports that might contain duplicate identity data.
Household
Identifies individuals that belong to a household. Analyzes name data and address data.
The algorithm requires the following primary inputs:
  • Person_Name
  • Address_Part1
Individual
Identifies duplicate individuals. Analyzes name, date of birth, and personal identification data such as Social Security numbers, account numbers, and vehicle identification numbers.
The algorithm requires the following primary input:
  • Person_Name
The algorithm requires one of the following secondary inputs:
  • Date
  • ID
Organization
Identifies records that share organization data.
The algorithm requires the following primary input:
  • Organization_Name
The algorithm does not require a secondary input.
Person Name
Identifies records that share information about individuals.
The algorithm requires the following primary input:
  • Person_Name
The algorithm does not require a secondary input.
Resident
Identifies duplicate individuals at an address. Optionally, configure this strategy to analyze personal identification data.
The algorithm requires the following primary input:
  • Person_Name
  • Address_Part1
The algorithm does not require a secondary input.
Wide Contact
Identifies records that share a contact at an organization.
The algorithm requires the following primary inputs:
  • Person_Name
  • Organization_Name
The algorithm does not require a secondary input.
Wide Household
Identifies individuals that belong the same household.
The algorithm requires the following primary input:
  • Address_Part1
The algorithm does not require a secondary input.

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