InterCriteria Analysis of the Global Competitiveness Report for the Financial System EU Countries

In recent years, innovative techniques for data analysis and decision-making, resulting from the processing of a large database, have been increasingly used. This trend is part of the management process, for example in the field of finance, where through the application of elements of artificial intelligence, data is processed, processes are analyzed, risk is assessed and intelligent solutions are proposed.In this paper, data from The Global competitiveness report of the World Economic Forum is processed in order to analyze the financial systems of EU Countries. The emphasis is on the data from Pillar 9 - Financial System. It consists of the indicators - Debt and Stability. These in turn include several sub-indicators.The analysis was carried out by applying the Intercriteria Analysis.