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Sightline EDM®: Automated Anomaly Detection in Real-Time

Machine learning anomaly detection, AI, and big data analytics make it possible to identify anomalies in data or potential data outliers in large data sets that wouldn’t be detectable by a human user alone.

By establishing and using historical baseline data across ecosystems and combining it with data collected in real-time, your company can identify issues before they create high-cost production interruptions. Sightline EDM® automates anomaly-based monitoring, saving your company time and money.

Machine Learning Anomaly Detection Prevents Potential Issues As They Occur 

Collect real-time data across thousands of inputs throughout your ecosystems with Sightline EDM®. We have identified the ideal evaluation metrics for anomaly detection while establishing a historical baseline, allowing you to identify data outliers that would otherwise be difficult to find.

We don’t just make it easier to detect anomalies, we make it easier to track the data. Sightline EDM® simplifies time series anomaly detection by providing a holistic view of your data in one central dashboard whether you work in one facility or several locations.

Sightline EDM® uses AI and time series anomaly detection to trace historical activity and identify potential data outliers. Establishing your historical baseline allows the software to measure the significance of the flagged anomalies.

Sightline EDM® doesn’t just employ anomaly detection algorithms, it allows you to configure and build customized alerting algorithms to identify potential issues—and their statistical significance—in real-time within the context of your specific parameters and alerts.
Stay ahead of potential bottlenecks, technical issues, and other costly interruptions with a visual “spike finder”. Sightline EDM® utilizes early warning detection algorithms to identify threats before they interrupt your business.
Sightline’s AI technology flags anomalies as they occur. These reported anomalies are then examined against historical data, across facilities. The software also examines the flagged anomalies within production capacity to weigh severity using statistical confidence levels. In other words, we can identify potential critical production problems before they happen.
Bottlenecks are difficult to track and manage.Production slowdowns often go unnoticed for days, even weeks, when being monitored manually. Machine learning anomaly detection detects and prevents bottlenecks that often go undetected by a human user alone. Production slowdowns will no longer hold your company back and impact your bottom line.

Configurable Off-the-Shelf Analytics Solution

Unified Dashboard with Optional Drill-Down

Enterprise data insights from across ecosystems in one centralized dashboard. Consolidate data pulled from multiple monitoring tools into one dashboard with drill-down capabilities.

Usable, Right Out of the Box

Leverage your enterprise data immediately with a solution that is ready to use right out of the box. There is nothing standard about EDM®. This fully configurable solution can be customized to suit the unique needs of your organization with ease.

Scalable Usability for Teams of All Sizes

With compatibility across all web browsers and mobile devices, role-based access controls, security, and user views, this proven, enterprise-grade software solution is easily scalable for small, large, or growing teams.

Standard Integrations Across Systems

Aggregate data in minutes, not months, from PLCs, CNC machines, process equipment, ERP/MES systems, and other sources of critical data. With Sightline EDM®, organizations get a highly detailed view of manufacturing data analytics.

Stop High-Cost Interruptions with Time Series Anomaly Detection

Sightline EDM® identifies anomalies in real-time that a human user alone would never detect. With custom alerts, your teams can quickly mitigate problems as they arise. You can improve your operational efficiency and lower overall costs with:

  • Advanced data analytics, anomaly detection, and root cause analysis
  • Holistic view of information with data intelligence dashboard
  • Real-time data collection and custom alerts
  • End-to-end data security
SIAS Data Security

Let’s Discuss How Anomaly Detection Can Keep Your Systems Running Smoothly 24/7

Speak with an EDM expert today!