Bad data costs money. A pricing error in your product catalog loses revenue. Wrong user counts mislead executives. Stale inventory data frustrates customers.
Data quality isn't optional. You'll be asked about it because companies have been burned. Show you'll catch problems before dashboards break or ML models fail.
I'll cover quality dimensions, testing strategies, and monitoring patterns that prevent data disasters.