Table of Contents

Search

  1. Preface
  2. Part 1: Introduction
  3. Part 2: Configuring Hub Console Tools
  4. Part 3: Building the Data Model
  5. Part 4: Configuring the Data Flow
  6. Part 5: Executing Informatica MDM Hub Processes
  7. Part 6: Configuring Application Access
  8. Appendix A: MDM Hub Properties
  9. Appendix B: Viewing Configuration Details
  10. Appendix C: Row-level Locking
  11. Appendix D: MDM Hub Logging
  12. Appendix E: Table Partitioning
  13. Appendix F: Collecting MDM Environment Information with the Product Usage Toolkit
  14. Appendix G: Informatica Platform Staging
  15. Appendix H: Informatica Platform Mapping Examples
  16. Appendix I: Glossary

Accept Limit Adjustment

Accept Limit Adjustment

For fuzzy-match base objects, the
accept limit
is a number that determines the acceptability of a match. This setting does the exact same thing as the match level, but to a more granular degree. The accept limit is defined by
Informatica
within a population in accordance with its match purpose. The Accept Limit Adjustment allows a coarse adjustment to what is considered to be a match for this match rule.
  • A positive adjustment results in more conservative matching.
  • A negative adjustment results in looser matching.
For example, suppose that, for a given field and a given population, the accept limit for a typical match level is 80, for a loose match level is 70, and for a conservative match level is 90. If you specify a positive number (such as 3) for the adjustment, then the accept level becomes slightly more conservative. If you specify a negative number (such as -2), then the accept level becomes looser.
Configuring this setting provides a optional refinement to your match settings that might be helpful in certain circumstances. Adjusting the accept limit even a few points can have a dramatic effect on your matches, resulting in overmatching or undermatching. Therefore, it is recommended that you test different settings iteratively, with small increments, to determine the best setting for your data.

0 COMMENTS

We’d like to hear from you!