Reference brief. This article explains published guidance and its practical context; it does not report a new launch or claim that an older source was released today.
Clean customer data depends on what happens after a duplicate is detected. Teams should examine how records are reviewed, merged and corrected, particularly before introducing automated messaging or lead assignment. A warning that nobody owns can leave the original workflow problem unchanged.
What the source establishes
Microsoft documents duplicate-detection rules for its platform and the role of matching criteria. These are product-specific controls; equivalent behaviour must be checked separately in another customer-management system.
See the original reference material for the publisher’s scope and detail.
Questions to carry into a product or service review
- Define the fields used to identify possible duplicates and the limits of those rules.
- Inspect what happens to activities, attachments and permissions during a merge.
- Assign responsibility for corrections and recurring import problems.
Why context matters
Strict matching can miss duplicates, while broad matching can combine different people. Keep a review step for uncertain cases and avoid treating every software suggestion as a confirmed identity match.
For the practical example, read resolve duplicate contacts before automating the customer handover. More coverage is available in Customer Relationship Management and Customer Data.
References and further reading
- learn.microsoft.comhttps://learn.microsoft.com/en-us/power-platform/admin/set-up-duplicate-detection-rules-keep-data-clean
