Fleet-based analytics for data-driven operation and maintenance optimisation

Many companies that operate a fleet of machines and continuously monitor its operation, do not fully exploit the enormous amount of collected data. Usually this data is merely used by maintenance and service personnel for reactive maintenance. Some lead user companies have recently shifted to proactive maintenance (using advanced exploitation of data), but even in these cases the analysis is realised at individual machine level.

Data Science in Practice on September 14-15

Modern information and communication technology is increasingly capable of collecting and generating large amounts of data that need to be analyzed to become useful or profitable. In fact, these amounts quickly become too large for immediate human understanding, leading to a situation in which “we are drowning in data but starved for knowledge”.