Data Quality

Short answer

Data quality is the degree to which data is accurate, complete, consistent and timely enough to be trusted for decisions. In marketing, poor data quality causes broken attribution, wasted spend and flawed personalization. Teams maintain it through validation, monitoring, clear definitions and ownership of key datasets.