Method and system for dynamic data quality policy generation and enforcement for analytic scenarios

Abstract

The application provides a dynamic data quality policy generation and execution method and system for an analysis scene, wherein the method comprises the following steps: receiving and analyzing a task request submitted by a user to obtain a corresponding structured task object; extracting a scene feature vector from the structured task object; extracting a feature combination in the scene feature vector, matching the feature combination in a pre-defined mapping library, triggering a quality rule template and forming an executable check rule set; injecting the check rule set into a check interceptor used for a feedback task request link, running the check rule set in the check interceptor, and collecting a check result; and intervening in the feedback task request according to the check result. The application sets a scene feature matching quality rule template for describing a current task situation and context information, dynamically adjusts the strictness of a quality requirement according to an actual situation, adaptively optimizes a feedback effect for a user according to a check result, and forms a timely closed-loop intervention and feedback mechanism.

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