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Data Health Tips for Donor Accounts
There is data that is clean, right where it is supposed to be and meaningful to all who view it. There is also data that is dirty, maybe a prospects State is misspelled, or perhaps a list of potential communication preferences has multiple values that mean the same thing. And then there is data that