Innovation in business intelligence systems: Spatial component for advanced threat and risk analysis

This paper shows an innovative approach for implementation business intelligence systems in advanced threat and risk analysis using spatial component. It demonstrates how to improve intelligence of complete information system by involving spatial extension. Most of business data in data warehouses are often spatial per se, and without using this component, analysis missing very important dimension of the data nature. From other side, frequent problem in enterprise data warehouse is creating relations between tables which come from different sources and without any common attributes; that could be very easily solved by spatial relation. This paradigm of spatialization assumes changing overall system architecture, from data storage, via retrieving to its presentation mechanism. Particular benefit of this approach for threat and risk analysis is effective utilization of location data, advanced spatial analysis techniques and more variety in data visualization. Examples of organizations which need such system are intelligence agencies, emergence services or epidemiology centers.