Decoupling deployment from release enhances software development processes by allowing unfinished code to be deployed without being released to users, thus enabling safe testing in production and improving release safety and velocity. This approach supports progressive delivery and minimizes risks by allowing teams to control feature exposure and perform experiments such as A/B tests, all while monitoring system and user behavior metrics. The strategy helps in preventing the unintended exposure of work-in-progress code and allows developers to safely test new features in production environments by gradually increasing the exposure from internal users to larger user populations. The method of "un-releasing" rather than rolling back changes ensures that teams can address issues without redeploying previous versions, thereby maintaining stability and fostering innovation. Split's Feature Data Platform facilitates this by offering tools to manage feature flags, conduct experiments, and make data-driven decisions, ultimately accelerating the development cycle without compromising safety or quality.