Conventional data governance practices come from a simpler time when data management was free from many of today’s challenges, such as self-service reporting and analytics.
Traditional data governance focuses on enforcement of controls and gates, which will continue to be necessary. However, these methods must be complemented with support for the autonomy and agility of the self-service world. Enforcement works together with prevention. Guides and guardrails reduce the need for gating. The need to exercise controls is minimized when curating, coaching, crowdsourcing, and collaboration are integral parts of governance processes.
In a self-service world, every data stakeholder plays a part in data governance.