Monte Carlo reposted this
Which one are you? Let me know in the comments - happy Monday! #datamemes #dataquality
Barr Moses Ha ha, always a tug of war in the data zone with this one 😀! Ensuring data quality should indeed be everyone's responsibility, but in my experience, having a dedicated data quality team can significantly enhance overall data integrity. A specialized team can establish robust standards and processes, perform continuous monitoring, and quickly address issues. By collaborating closely with data scientists, engineers, and analysts, the data quality team can provide critical insights and feedback, ensuring that all data used across the organization meets high standards. This integrated approach fosters a culture of accountability and ensures that high-quality data drives decision-making.
Edwin Chuy
2w
Truthfully speaking, data quality is a shared responsibility. Except that no really wants to be responsible for it ...
This is fine! 🔥
Daljit Singh
2w
Data Scientist
Michael B.
2w
Vader CTO 👍
VP of Data at Drata
2wData quality is a shared responsibility across all stakeholders, from publishers to consumers. The data team can offer best practices and tools, but their impact hinges on the active participation of all parties in this dynamic. IMHO First, ask, "Who cares?" Consider the risks of neglecting data quality—potentially undermining trust and decision-making. Engage executives who recognize these risks and are willing to champion this cause. Their sponsorship is crucial to enforce changes and drive continuous communication and improvements. Think of it like food quality. Does it matter if we don’t have a clear cause? Am I training for a marathon, or just planning to watch TV all weekend? The purpose defines the importance.