Table of Contents

Search

  1. Preface
  2. Introduction
  3. Defining a System
  4. Flattening IDTs
  5. Link Tables
  6. Loading a System
  7. Persistent-ID (Dynamic Clustering)
  8. Cluster Governance
  9. Static Clustering
  10. Simple Search
  11. Search Performance
  12. Miscellaneous Issues
  13. Limitations
  14. Error Messages

Best-Undecided-Review

Best-Undecided-Review

You can use the best-undecided-review option with the Best clustering method. If a search returns undecided match records, the Best clustering method creates a cluster for the search record. The best-undecided-review option flags the cluster created for the search record and the existing cluster of the best matched record with undecided decision. Use Informatica Data Director to manually review the details of the flagged clusters. You can merge the clusters or retain them in separate clusters.
For example, you have a record that has John Smith as the name in cluster 1. Add a record with Jay Smith as the name to the source table.
During synchronization, the record of John Smith matches the record of Jay Smith with an undecided decision. The Best method creates cluster 2 for the record of Jay Smith, and the best-undecided-review option flags cluster 1 and cluster 2. Use Informatica Data Director to manually review the details of cluster 1 and cluster 2.

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