AI Agent Analytics: Monitoring Performance with Data Cloud Reports

As organizations deploy automated agents to handle customer interactions, understanding how these agents perform is critical to maintaining service quality and efficiency. This text-based course guides you through the foundational concepts of agent analytics, showing you how to turn raw interaction data into actionable insights. You will learn how to set up key performance indicators, track agent accuracy, and leverage cloud data platforms to build comprehensive performance reports that drive continuous improvement. What you'll learn: - Understand foundational terminology of AI agent monitoring and performance tracking. - Identify key metrics including response latency, resolution rates, and user satisfaction scores. - Analyze interaction logs using data cloud reporting tools to pinpoint conversation bottlenecks. - Configure dashboards that visualize agent behavior, cost, and token usage trends. - Apply data-driven insights to refine agent prompts, workflows, and connected knowledge bases. - Evaluate agent effectiveness over time to ensure alignment with business goals. The course begins with essential definitions and metric frameworks before walking you through the practical steps of querying, filtering, and reporting on agent data within a cloud ecosystem. Designed for beginners, operations managers, and business analysts, this course requires no prior background in data science or programming. Start reading today to unlock the full potential of your automated agents through the power of analytics.