Building high-velocity data quality feedback loops: A modern approach to enterprise data health

Poor data quality can lead to lost opportunities, reputational damage, increased operational costs, and potential regulatory exposure. A modern approach to improving data health involves building high-velocity data quality feedback loops that connect data producers and consumers effectively. This is achieved by implementing rapid feedback loops at the point of delivery, providing precise issue details, and communicating in a standard format. Automated feedback loops can be built using technologies like Hasura DDN's plugin ecosystem, JSON Schema standard, and AJV for generating standardized rule results. The approach provides significant advantages such as proactive detection, enhanced communication, clear accountability, standardized approach, and accelerated resolution.

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