Example Concept: Telemetry storage involves capturing and archiving data from IoT devices and sensors over time. This data is typically stored in cloud databases or data lakes, allowing for scalable and cost-effective retention. By analyzing historical telemetry data, organizations can identify trends, detect anomalies, and derive actionable insights, which are essential for predictive maintenance, resource optimization, and strategic planning.