What distinguishes real-time data from historical data in ServiceNow analytics?

Real-time data is characterized by its ability to reflect the current status of the system, providing insights and metrics that are actively being generated and updated. This allows organizations to monitor ongoing processes, track live user interactions, and respond promptly to operational events. In contrast, historical data focuses on accumulated records over a specific period, allowing for the analysis of trends and patterns, but it does not provide real-time insights.

By understanding this distinction, users can leverage real-time data for immediate decision-making and monitoring, while using historical data for in-depth analyses and forecasting based on past behaviors. This differentiation is crucial in analytics, as each type of data serves unique purposes and informs strategic business approaches accordingly.