Service and R&D EXCELLENCE

Anomaly detection and root cause analysis on your data can be used to enhance data exploration and enables you to reduce the response time of your service team dramatically. When issues occur, the anomalies can be highlighted and filtered on-the-fly, so the root cause of the problem is easily detectable. The quick identification of the root cause, allows you to fix the real problem rather than treat the symptoms.  This reduces the response time of your the service team and so increases your customer satisfaction.

With a better view on real use cases and patterns,  you can design your machine to be easier to use. Move a hard to reach but much used configuration screen to a faster accessible place for exampl​e.
Engineering requirements can also be more precise and thus lower the costs of materials and improve reliability. For example: avoid over-engineered but rarely used parts, or use better quality parts for high usage / failure ones.
​Finally, for the testing phase, you’ll be able to check the most common failure points test conditions that mimic the real usage of your machines, devices or systems closely.