Data Quality for Anomaly Detection and Monitoring
The ID3 Data Quality Service is fully integrated into the ID3 Data Manager module, bringing powerful capabilities for anomaly detection and monitoring within high-frequency sensor environments.
Integrated within the ID3 Data Manager, the ID3 Data Quality Service delivers fast, accurate insights into high-frequency sensor data, detecting anomalies before analysis begins. It operates both as a standalone tool and as part of a broader monitoring ecosystem.
The service combines two complementary methods:
- Univariate Analysis – Uses expert-defined, configurable rules to catch common issues like out-of-range values, sudden spikes, and flatlined sensors.
- AI-Based Analysis – Employs advanced Temporal Convolutional Networks (TCNs) to uncover complex, hidden anomalies by analyzing relationships across multiple sensors.
Together, these approaches provide a comprehensive, real-time solution for ensuring data integrity and optimizing sensor performance.