Two of the most interesting challenges for customer data integration fall on opposite sides of the same coin: determining when two records refer to the same real-world object versus determining when they do not. Yet without the ability to make a clear connection or distinction, it is difficult – if not impossible – to identify potential duplicate records within and across data sets. In this webcast, industry expert David Loshin of Knowledge Integrity and Dan Soceanu from DataFlux explore these challenges, look at their root causes and discuss different ways that similarity scoring and approximate matching algorithms can help determine and resolve identical entities.

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