What are the best ways to prioritize data quality in marketing analytics?

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Data quality is essential for marketing analytics, as it affects the accuracy, reliability, and validity of your insights and decisions. Poor data quality can lead to wasted resources, missed opportunities, and damaged reputation. How can you prioritize data quality in your marketing analytics processes and projects? Here are some best practices to follow.

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