Raising the level of concurrent users doing the same work in traditional decision support tends to slow response times for the current users because more demands are now being made on the same resources, and all are spread out across all nodes and AMPs in the system. In contrast, increasing the number of users performing tactical queries that are localized and limited in their resource use boosts overall throughput to system saturation.