Selector's software-as-a-service employs machine learning and NLP-driven, self-serve analytics to provide instant access to actionable insights and reduce MTTR by up to 90%. Selector Analytics uses machine learning and artificial intelligence to perform three essential functions and provide actionable insight to network, cloud, or application operators. Selector Analytics can collect any data, including configurations, alerts and metrics, events, logs, and logs, from heterogeneous sources. Selector Analytics can harvest data from router logs or device or network metrics. Selector Analytics collects data and normalizes, filters and clusters it. Selector Analytics also uses pre-built workflows that allow for actionable insights. Selector Analytics then uses machine-learning-based data analytics to analyze metrics and events and detect anomalies.