Process data analytics to predict failures
Sudden and unforeseen breakdowns, e.g. in heavy
industry, gas & oil industry or in transport are a big problem and cost.
Companies are trying to predict that a given failure is approaching, e.g. due
to material fatigue. As in the case of churn, our algorithms analyze the
historical data provided by the client (but not only this data) and are very
likely to determine the possibility and time of failure. In this way, the
customer can avoid it, e.g. by exchanging the given component.