IM Relationship Resolution Information Center, Version 4.2

IBM Entity Analytic Solutions Name Manager name matching algorithm

The IBM Entity Analytic Solutions Name Manager name matching algorithm is designed to yield culturally aware name scoring.

The IBM Entity Analytic Solutions Name Manager name matching algorithm is used in conjunction with the Name Comparator 1.0 or Name Comparator 2.0 name matching algorithms. IBM Entity Analytic Solutions Name Manager groups names into three categories which it then compares and scores:

Configuration considerations - confidence threshold guidelines

These three scoring confidence threshold parameters allow you to tune name matching for specific resolution rules to meet your name matching requirements. Confidence thresholds are decimal-based, from 0.0-1.0, with 0.0 being the lowest score and 1.0 being the highest score. The higher the score in a category, the closer the names matched in that category.

When using the IBM Entity Analytic Solutions Name Manager name matching algorithm, if either the Name Comparator or the IBM Entity Analytic Solutions Name Manager thresholds are met, the confirmation or denial will be made. Only one set of the thresholds need to be met.

Name Manager Full Name Confidence Threshold:
Based on the 0.0-1.0 score, here are guidelines to assist you in determining the level of matching the Full Name score threshold:
  • 1.0 = exact or near exact match
  • 0.9 = close match (suitable for name and DOB resolution)
  • 0.8 = good match (suitable for most resolution rules)
  • 0.7 = average match (suitable when unique numbers are also present)
  • Below 0.7 = not suitable for matching
Name Manager Given Name Confidence Threshold:
Based on the 0-100 score, here are guidelines to assist you in determining the level of matching the Full Name score threshold:
  • 1.0 = exact or near exact match
  • 0.9 = very good match (may indicate given-surname swap)
  • 0.8 = good match
  • 0.7 = average match
  • Below 0.7 = not suitable for matching; may be useful when combined with Surname or Full Name to ensure some similarity
Name Manager Surname Confidence Threshold:
Based on the 0-100 score, here are guidelines to assist you in determining the level of matching the surname score threshold:
  • 1.0 = exact match
  • 0.9 = very good match (may indicate given-surname swap)
  • 0.8 = good match
  • 0.7 = average match
  • Below 0.7 = not suitable for matching; may be useful when combined with Given Name or Full Name to ensure some similarity
Related concepts
Overview of IBM Entity Analytic Solutions Name Manager
Related tasks
Enabling IBM Entity Analytic Solutions Name Manager name matching for cultures


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Last updated: 2009