Disclosed are systems and methods that enable both the real-time monitoring and historical tracking of events and actions performed by disparate systems and software applications associated with a computing device that also permit insight into the relationships between such events and actions. The inventive systems and methods synchronously and asynchronously capture event data from various event sources associated with a computing device. The event data can be enriched before correlating associated event data into transactions resulting in telemetry information to provide a more accurate and complete picture of what activities the computing device is performing and how the computing device is utilized to accomplish particular tasks. This telemetry information enables the system to perform descriptive and predictive analytical processes as well as artificial intelligence that provide valuable insights to improve end user and system performance.
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