Innovation in Business Intelligence Systems:
Spatial Component for Advanced Threat and Risk Analysis
Mirza Ponjavić & Almir Karabegović
Location can be described by an address, a geographic region or a tracking route, that can be presented, managed and analyzed in a GIS. Recognized spatial relationships, patterns and trends can answer the sophisticated questions related to hardly visible and invisible laws applied between phenomena described by specific business data sets.
Location awareness can be incorporated into Business Intelligence Systems and used in field of risk assessment and risk management extracting the maximum value from GIS and BI integration and traditional and spatial data sets.
This paper is focused on the implementation of this system for the purpose of improving the center for the analysis of threats and risks, although the experience gained in its implementation may be fully applied in other domains mentioned.
Threat and risk analysis is the process used to obtain quantitative or qualitative measures of risk levels and has focus on quantifying the probability of negative consequences from one or more identified or unknown threat causes.
1st step: entering external data (foci of disease are generated using the hot spot and cluster analysis).
2nd step: selection of analytical method (spatial autocorrelation).
3rd step: implementation of the analytical process.
4th step: spatial reasoning and inference on the cause of the phenomena (mapping the spread of infection, buffering, overlapping with the road network and analyzing the data records of border crossings)
5th step: presentation of the results of the analysis and generation reports using GIS.
As BI system for advanced analysis of threats and risks has been designed and implemented as a dynamic and flexible framework with a variety of possibilities for improvement and expansion in all segments. This solution will certainly contribute to the quality and consistency of IBM in Bosnia and Herzegovina, which is essentially intended for.
Basic functionality and capabilities of the system can be further expanded and enriched by adding new data sources from existing agencies and other relevant institutions, by consolidation of existing transactional systems, regulation procedures and templates for making the required reports, analysis, etc. For its implementation is a key issue to achieve high level of cooperation between RAC and individual information services (agencies). As well experience and knowledge of operating personnel (analysts and administrators) is very important. Lessons learned through design, implementation and use of this system can be extrapolated to other similar systems, with certain adjustments.
By implementing this system at the center for risk analysis has been made the foundation of which is reflected in a modern, flexible and multiple employable system. In its production stage, it is not a closed system, but should be further developed through a series of possible improvements and options that should be recognized by its customers.
Conclusion and Benefits
This paper shows an innovative approach for implementation business intelligence systems for advanced threat and risk analysis in RAC environment using spatial component. It demonstrates how to improve intelligence of complete information system by involving spatial extension. Particular benefit of this approach for risk analysis is effective utilization of location data, advanced spatial analysis techniques and more variety in data visualization.
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This work is supported by Gauss Tuzla, Center for Geospatial Research Sarajevo