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.