The 7 Most Common Types of Dirty Data (and how to clean them)
https://www.ringlead.com/blog/the-7-most-common-types-of-dirty-data-and-how-to-clean-them/
Jun 01, 2019 · These each can cause a slew of issues, including poor targeting and segmentation, irrelevant non-personalized messaging, mistimed or nonexistent email delivery, and a lack of competitive insights. It’s not marketing 101 to know that accuracy and precision matter in all data-driven business decisions.
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