Decision making in a system of private companies and public organizations can be complex, because a large amount of information is permanently transferred between them, which may be relevant to increase competitiveness. For managers to comply with the defined strategic and operational objectives and choose effective alternatives, it is fundamental to have decision support systems (DSS) that calculate indicators for a large amount of transactional data, which have meaning. In this paper, based on the Analytical Networking Methodology (ANP) applied to the opinion of experts, the key KPIs related to the technological and risk aspects for the actors identified, is presented a proposal for the decision-making process, which are then implemented in OLAP cubes on multidimensional databases of the ROLAP type.
