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Top 6 Ways to Avoid Dirty Data

October 21, 2015

If you use a CRM database, it’s highly likely that it will contain some degree of ‘dirty data’. Signs of dirty data are duplicate records, invalid email addresses, empty fields, out-of-date information, mistakes in spelling, punctuation and formatting. It might not seem like a big problem however dirty data can cause significant losses to your […]

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Top 6 Ways to Avoid Dirty Data
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