Over my 23 years in the US Navy, in particular as part of Naval aviation, I created or reviewed a great deal of data, analysis and reports trying to determine trends with aircraft operations. The underlying metrics typically drew on the same basic analysis construct; the data was evaluated in aggregate and a generalized rate or metric for the factor of interest was developed. Examples of these metrics included aircraft utilization rates (hours/month/aircraft or fatigue-life-used/aircraft/year) or a sub-system’s failure rate (mean flying hours between removal). This analysis approach was often the only one available since the data was commonly reported in a generalized or aggregated way. The analysis results were therefore overly generalized metrics that failed to accurately capture the true behavior of individual aircraft and allow for the level of detail required to make the best decisions.