video1.0<iframe src="https://www.loom.com/embed/a8367408f722446aa93b29a4d652da10" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/a8367408f722446aa93b29a4d652da10-74ba8422990bf77b.gif329.266667In this video, we’ll walk you through Danelec’s Data Quality Module, designed to give you full transparency and control over your fleet’s sensor data — saving time, effort, and money. With automated outlier detection and data outage alerts, this module can save up to 72 hours per vessel per year, equivalent to $1,910 in analyst time — freeing up resources to focus on insight rather than cleanup. 🔍 What you'll see in this demo: Real-time view of fleet-wide data quality Sensor availability and outage tracking Automated outlier detection using relationship and bound testing Speed Log Bias Detection to ensure reliable speed loss analyses Tools to filter out invalid data before it skews performance assessments 🎯 Key Benefits: Ensure clean, reliable performance data Reduce manual data validation workload Catch issues before they affect your analytics Future-ready: supports upcoming Noon Report checks 💡 Ideal for technical superintendents, analysts, and performance teams who rely on data they can trust. 👉 Learn more at https://www.danelec.com/performance/danelec-data-quality *Assumes 72 hours saved per year, per vessel, based on average correction effort.