Replacing aircraft components at unexpected times can be extremely costly both in terms of financial strain and customer satisfaction. The alternative to this is to repair before the problem arises, but replacing parts or components before they are worn out also wastes considerable amounts of money. To determine when a part is going to fail, technicians make judgements based on the alerts and sensor data that has been provided by the part. Alerts are often too late to be useful and raw sensor data is not easy to consistently review even with detailed visualizations. Two components of Analatom's IMAS (Intelligent Management Analysis System) software solution that are improved with the use of GPUs are complex multivariate comparative analysis of sensor streams and a fast, approximate query system. The query system works by creating packed indexes for each row/column in a database of information. By storing a subset of these indexes in memory on the GPU, each thread can handle a row or column without needing to have access to the entire database. The system built needs to perform large numbers of queries with ever expanding results, so performing this across sections of the GPU allows for more efficient processing.