Usage of OLAP Cubes as a Data Model for DSS

A decision support system (DSS) is a software application designed to determine suitable actions for specific organizational situations.Its main component is a data repository analyzed to produce decisions.This paper describes the data organization (Data Model) as a multi-dimensional OLAP cube with amendments for decision-making support.We present DSS functionality as building (slicing) hyper-cubes into decision sub-cubes.The system's adjustment and evolution involve changing the granularity of these sub-cubes.We discuss the merging and splitting of hyper-cubes, arguing that this functionality is adequate for creating complex, real-time DSSs for various incidents, such as cybersecurity incidents.