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In data matching technology situations where data quality is reasonably high, deterministic algorithms will often be sufficient. However, in data matching situations where data quality is low, both probabilistic matching and machine learning algorithms provide more techniques for handling missing, inconsistent, or incorrect data, as well as statistically sound techniques to evaluate and iteratively improve matching accuracy.
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Data matching is the process of identifying which records from data sources correspond to the same real-world entity. Email: support@iqm.com, Phone: +1.212.476.5245