Table of Contents

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  1. Introduction
  2. Configuring Hub Console Tools
  3. Building the Data Model
  4. Configuring the Data Flow
  5. Executing Informatica MDM Hub Processes
  6. Configuring Application Access
  7. MDM Hub Properties
  8. Viewing Configuration Details
  9. Search with Solr
  10. Row-level Locking
  11. MDM Hub Logging
  12. Table Partitioning
  13. Collecting MDM Environment Information with the Product Usage Toolkit
  14. Glossary

Match Levels

Match Levels

For fuzzy-match base objects, the
match level
determines how precise the match is. You can specify one of the following match levels for a fuzzy-match base object:
Match Levels
Level
Description
Typical
Appropriate for most matches.
Conservative
Produces fewer matches than the Typical level. Some data that actually matches may pass through the match process without being flagged as a match. This situation is called
undermatching
.
Loose
Produces more matches than the Typical level. Loose matching may produce a significant number of match candidates that are not really matches. This situation is called
overmatching
. You might choose to use this in a match rule for manual merges, to make sure that other, tighter match rules have not missed any potential matches.
Select the level based on your knowledge of the data to be matched: Typical, Conservative (fewer matches), or Looser (more matches). When in doubt, use Typical.

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