Data quality describes how accurate, complete, and reliable the collected data is. Poor setup, duplicates, spam traffic, and missing tracking can distort the numbers and lead to the wrong decisions.
Filtering out internal traffic and bot visits is a basic step in ensuring data quality in an analytics tool.
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