Integrating the Collibra catalog with DQLabs empowers organizations to make data-driven decisions that boost operational efficiency. By seamlessly pulling and pushing metrics between Collibra and DQLabs, users gain real-time insights into data quality, allowing stakeholders to quickly address issues and drive better business outcomes. This integration ensures that key metrics such as data quality scores, rows passed/failed, total rows, thresholds, results, and asset run completion dates are readily available in a central catalog. It enhances governance by enabling stakeholders to track, evaluate, and enforce data quality standards throughout the data lifecycle. By syncing DQLabs’ data quality metrics with Collibra, organizations ensure their data governance framework remains comprehensive, accurate, and up-to-date.