Data Point Governance and Quality Management in ZhiZhu QA Process

This article describes how ZhiZhu's quality inspection team introduced a two‑stage data‑point governance framework—initial manual enforcement followed by automated system monitoring, real‑time validation, user‑behavior trees, and dashboards—to dramatically improve data quality, testing efficiency, and issue resolution.

MonitoringQAdashboard

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Data Point Governance and Quality Management in ZhiZhu QA Process

Youzan Coder

Aug 23, 2019 · Big Data

How to Build a Robust Event Logging Quality System with Real‑Time Validation

This article outlines common event‑logging quality problems, a systematic registration and real‑time validation framework built on Flink, configurable rule syntax, explainable results, continuous monitoring, targeted optimizations, and an evaluation model that together form a comprehensive quality‑center for big‑data platforms.

Big DataFlinkMonitoring

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How to Build a Robust Event Logging Quality System with Real‑Time Validation