How to Get Proactive About Data Quality

The best way to improve data quality is to prevent data errors at the source. But that requires major shifts in mindsets and organization, as meal-kit company HelloFresh learned.

When it comes to dealing with data quality, teams and companies fall into one of three modes: unmanaged, organized cleanup, or proactive prevention. Most organizations get stuck in one of the first two. The work of addressing data issues is demanding, messy, and time-consuming. Poor-quality data can cripple decision-making and doom generative AI projects, since bad data fed to AI models turns into untrustworthy results.   

https://sloanreview.mit.edu/article/how-to-get-proactive-about-data-quality/