Walk a CRM hygiene decision when AI keeps surfacing duplicates
Use the five-step data-quality framework to decide whether to govern, standardize, cleanse, or monitor first.
The signal Three duplicate opportunities appear in the same AI forecast summary, all tied to slight variations of the account name and inconsistent owner notes. If the process stays loose, every future summary inherits the same noise. The framework Fix sequence matters Data-quality work is most effective when you choose the next move in the right order. Bad shortcut Just delete duplicates and hope the problem stops. The system stays cleaner because prevention, cleanup, and monitoring reinforce each other. If the same data issue returns, cleanup alone is usually the wrong first answer. Step 1 You confirm that duplicates keep…
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