To measure model related metrics, you need the ground truth data. But the ground truth data not always exists or there’s a delay between making predictions and getting the ground truth data. so we need to use a proxy(another way to achieve the close results). This proxy is using data health metrics to check and fix the issues with the model’s quality problems.