Datadog distribution metrics provide globally accurate percentiles across distributed systems and applications, allowing organizations to summarize metric data accurately. Distribution metrics capture high-resolution data that can be visualized using heatmaps, enabling exploration of seasonal patterns over time. They also enable the creation of threshold queries for setting service level objectives (SLOs), precise granular monitors for proactive alerting about issues, and identification of statistically calculated outliers with standard deviations. By utilizing distribution metrics, organizations can unlock advanced analysis and monitoring, providing insights at scale to inform data-driven decisions.