PCP extracts value from network data, detects failures and automatically resolves them before they disrupt customer key services. PCP solution is based on open source big data technologies but can also be impemented on SAS architecture. Data ingestion is implemented using Apache Kafka topics. Spark Streaming or SAS Event Stream Processing is used for data processing, MLlib or SAS machine learning for detection and prediction of failures in real time and Camunda BPM for automation of corrective actions on customer equipment. PCP is designed to lower maintenance costs as well as improve customer experience.