Loading...
WinklixIT Solution Simplified
Business Units
Winklix built an analytics dashboard that turns equipment sensor data into early warnings of potential asset failures.
Contact UsAn oil and gas data company collected large volumes of sensor data from pumps, compressors and other field equipment for its customers.
Customers wanted more than raw data — they needed to know which assets were likely to fail and when:
The company needed a predictive product that its engineers and customers could use easily.
Winklix delivered a predictive analytics pipeline and an interactive dashboard for asset health.
Time-series sensor data was cleaned, aggregated and stored in a scalable pipeline built on Apache Spark.
Machine learning models were trained on historical failures to estimate failure risk for each asset.
A web dashboard shows asset health scores, trends and alerts, with drill-down to individual equipment.
Configurable alerts notify engineers when risk thresholds are crossed.
The engagement delivered clear, practical results for the client:
Facing a similar challenge? Talk to Winklix about what we could build for you.
Contact Winklix
Golden Batch Analytics Improves Product Quality by up to 17% for a Leading Tobacco Manufacturer
Read full post
Large Battery Maker Saves Over 320 Person-Hours Building a New Service Support Application
Read full post
Legacy Application Modernisation Improves User Experience and Security for a Global Manufacturer
Read full post