Crisis management relies on verified information that is presented in such a way that it becomes understandable and actionable. However, converting information into operational scenarios is arduous and time consuming, when it is done by humans.

Crisis Control introduces the power of data science to crisis management. It is able to accumulate many different sources of data. Moreover, it is able to create operational scenarios out of historic knowledge and actual information.

Crisis Control presents data in relation to time, space and correlation.

Time

The timeline-view visualizes data that has a meaningful chronological order. The feature is crucial in understanding the historic sequences of events and the decisions that have been taken, as well as in anticipating the future developments of the crisis.

Space

The space feature provides a cartographic 3D representation of the data. It includes integration of different geospatial layers such as building specifications, utility lines, and orthophoto imagery. Moreover, it allows the interactive planning of resources and allows the user to monitor the status and location of personnel and vehicles.

Correlation

The correlation-view visualizes correlation in data. This feature provides crisis management teams with the ability to discover relations in data that cannot be found by human operations.

Crisis Control allows Crisis Management Organizations to learn from history, to respond to developing incidents and to predict future behavior in a way that is humanly impossible.

Crisis Control is needed, since in current situations:

Valuable historic knowledge is not used or stored in a way that is accessible
Creating a common operational picture requires enormous amounts of time and human labor
Methods available do not provide an understandable and actionable overview of the crisis

Crisis Control

por Pandora Intelligence BV