Determination of the interactions that take place between seemingly unrelated events within social networks give companies a competitive advantage in understanding how customer buying decisions are made and how to market and sell to various target groups. Government agencies charged with protecting our nation's security can gain a better understanding of intent by analyzing the interactions that take place between various hostile entities. Being able to discern shifts or changes in social network patterns in real time requires a high throughput, low latency engine that can capture and analyze the increasing number of interactions in real-time.
FedCentric's Memory-Centric Database (MCDB) solution speeds up the processing of social network analysis such that usage patterns can be monitored in real-time and response times to act on significant interactions or changes in usage patterns can be reduced.

