Time series data refers to a type of data that is collected over a period of time and has a continuous value or measurement associated with it. This category of data exists on its own because it serves a distinct purpose in analytics, often helping organizations make predictions and identify patterns in their operations. Time series data can be used for various applications such as forecasting, anomaly detection, and monitoring, which are crucial for businesses to optimize their performance and decision-making processes. It is essential to distinguish between metrics and events, as they serve different purposes in time series analysis. By understanding the significance of time series data, organizations can unlock valuable insights that inform their strategic decisions.