Why Your Data Governance Framework Is Failing (And What You Can Do About It)

This story was originally published on HackerNoon at: https://hackernoon.com/why-your-data-governance-framework-is-failing-and-what-you-can-do-about-it. Most data governance programs fail because policies are disconnected from engineering workflows. Here is how to make governance system-enforced. Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data-governance, #metadata-management, #enterprise-data-engineering, #data-leadership, #data-governance-strategy, #data-infrastructure, #data-compliance, #data-quality-monitoring, and more. This story was written by: @kuladeepsandra. Learn more about this writer by checking @kuladeepsandra's about page, and for more stories, please visit hackernoon.com. Data governance usually fails when it depends on people remembering to follow policies stored in documentation. The most effective governance programs make the right behavior the default: datasets cannot be deployed without ownership, classification, retention rules, and quality checks. Governance works best when it is embedded into engineering tools, deployment workflows, access controls, and catalog processes.