Predictive maintenance can be seen as the most rewarding maintenance strategy. Therefore currently there is much focus is on the use of this strategy, however there can be debated that predictive maintenance is not always the most feasible strategy. FMEA/RCM is a structured method which can be used to determine a maintenance concept based on the ways in which an asset can possibly fail and the impacts these so-called “failure modes” can possibly have. I will discuss the development and improvement of maintenance concepts over time and the need for the right asset information. I will have special attention for its usage for the identification of possible predictive maintenance candidates and criticality driven asset information management. The organization and management of (future) data collection is advocated as a crucial element for making better maintenance decisions. During the colloquium I will go specifically into insides gained from a multiple case study on the use of FMEA in industry and insights I gained from working together with industry.