Link customer records with inconsistent or incomplete data across multiple systems
Example: A bank has customer records with inconsistent data, such as different spellings of names or varying formats of addresses. Using probabilistic matching, the bank can match these records based on the similarity of their attributes, even if the data is incomplete or inconsistent.
A fuzzy matching algorithm to identify similarity of information in each attribute (HMNI model)
A ML model to link customer records (XGBoost model)
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Probabilistic Matching