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Seven Sins Of Data Quality

Confess your data sins. Find redemption. Maybe even laugh about it.

Your data team has sinned. Maybe you've rationalized away data quality issues, such as "the users have a workaround" or "I haven't heard any complaints lately." Or perhaps you've hoped that by not examining the data closely, you won't be held responsible if issues arise. Welcome to the club. We had an honest conversation about the behavioral sins that sabotage even the most talented data teams.

In this recorded webinar, DataKitchen CEO Chris Bergh takes you through the Seven Deadly Sins of Data Quality: Shame, Denial, Avoidance, Passivity, Laziness, Gluttony, and Ignorance. You'll see how to spot and address these human tendencies that turn data engineers into firefighters, business users into skeptics, and dashboards into elaborate works of fiction. Learn practical ways to shift from blame and firefighting to proactive quality, avoid failed "boil the ocean" initiatives, and finally understand what it takes to move beyond the mindset of "the pipelines ran all green."

Ready to break free from data sins?   You’ll have a few laughs at our collective misery over data quality. Because if we can't laugh about our data disasters, we'll definitely cry.

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