Contact Tracing is critical to minimizing the spread of COVID-19 in your community. Coronavirus infections are particularly dangerous to vulnerable populations such as retirement homes, elderly family members, medical providers, and front-line service personnel. By collecting and managing the data of your population, you are prepared if and when an outbreak occurs.
The FMS Advanced Systems Group developed Sentinel Visualizer to visualize complex relationships hidden in traditional rows and columns. For instance, schools can store relatively static data on their students, teachers, staff, classes, clubs, sports, siblings, family members, etc. When positive tests occur, one can find common links to quickly identify those who need to be tested and quarantined while limiting the impact on the wider community.
Sentinel Visualzer helps analysts mine their data to find hidden relationships among people, places and events. Built with Visual Studio .NET on a SQL Server database, Sentinel Visualizer provdes advanced data visualization through link analysis, geospatial mapping, timelines, social network analysis (SNA), advanced filtering and decluttering, and many other tools to maximize the value of data.
As the rampage and manhunt in Boston, Cambridge, and Watertown transpired, MIT Technology Review published an article that mentioned our Sentinel Visualizer product. In the April 19, 2013 article, David Talbot describes the rise of technology to detect the activities of criminals over the Internet and connect seemingly unrelated people, places and things. For more information, visit Building a Picture of the Boston Marathon Bombing Suspects through Social Network Analysis.
The FMS Advanced Systems Group has a new video for its Sentinel Visualizer program: An Introduction to Social Network Analysis (SNA). If you are trying to find hidden relationships among people, places, and events, Social Network Analysis can help.
Social Network Analysis is a subset of network theory that finds important relationships and centrality in complex networks. Learn how organizations in the law enforcement, intelligence, defense, finance, and other data intensive fields are using Sentinel Visualizer in their missions.
We are all used to seeing the 'rows and columns' metaphor when looking at data. In fact it is the primary interface for many of our data analysis tasks.
But rows and columns can hide valuable patterns. What happens when you take data out of a database and visualize it as a network? Now you can see important connections, centrality, trends, movement over time, and many other key indicators.