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Data Matching: To match, or not match, that is the question*

Reltio

The outcomes of this can include poor customer experience due to things like duplicate mailings and the inability for customer service reps to get a complete picture of a client. This is where your criteria for matching are too strict and it means you can end up with more duplicates in your data than there should be.

MDM 52
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The importance of data quality in Financial Services

Collibra

Financial services are highly regulated and maintain a strong focus on compliance and risk management. Considering that major financial organizations handle enormous amounts of data today, they require data accuracy and integrity at all times to minimize risks. What is data quality in financial services?