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De-duplicating, merging customer records with clustering

Frustrated with multiple records of the same customer which just differ due to a typo or abbreviation or different possible representations of same address?

Customer duplicate records could be very tricky. They suffer the problems such as abbreviating the address, typos and various possible representation of same address and name.

read more @...http://intelligencemining.blogspot.de/2012/10/de-duplicating-mergin...

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Comment by Michael Wagner on November 10, 2012 at 4:26pm

Fuzzy Lookups and DQS (Data Quality Services) in SQL Server 2012 work well for de-duping too.

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