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183: Why Modern Data Quality Must Move Beyond Traditional Data Management Practices with Chad Sanderson of Gable.ai
The Data Stack Show
Incentivizing Quality Data Management
By establishing a lineage graph, communicating quality needs to data producers, and creating a feedback loop for metadata provision, one can ensure that data quality expectations are met. This approach not only encourages data owners to provide detailed information but also results in receiving quality data in return. This method allows for the creation of robust systems that others can rely on, fostering a culture where data producers see value in contributing metadata. It highlights the importance of moving beyond mere data entry to enriching metadata for improved data quality.
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