This Guidance demonstrates how to build satellite communications (SATCOM) control plane analytics pipelines. Given bursts of time-series metrics, this Guidance helps SATCOM operators transform their data to identify trends that impact their business outcomes. It then renders results using business intelligence tools to display data-rate trends on a geo-map, and applies machine learning (ML) to flag unexpected signal-to-noise ratio (SNR) deviations. Moreover, this Guidance offers a low/no-code approach, enabling SATCOM operators to discover new insights into their data, achieve automatic scaling, lower costs, and reduce operational overhead.