Proactive Care Platform is a real-time streaming analytics solution that is automatically performing corrective actions to avoid disruption of customer services.
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 implemented 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.
Benefits
Reduced Maintenance Costs
Automated failure detection and resolution significantly reduces the need for manual intervention and maintenance operations, leading to lower operational costs.
Improved Customer Experience
By proactively resolving issues before they impact customers, PCP ensures uninterrupted service delivery and higher customer satisfaction levels.
Real-time Processing
Leveraging Apache Kafka and Spark Streaming enables real-time data processing and immediate response to network events and failures.
Predictive Analytics
Machine learning capabilities enable prediction of potential failures before they occur, allowing for preventive maintenance and service optimization.
Flexible Architecture
Support for both open source technologies and SAS architecture provides flexibility in implementation based on organizational requirements and existing infrastructure.
Automated Actions
Camunda BPM integration enables automated corrective actions on customer equipment, reducing response time and ensuring consistent service quality.
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