ABSTRACT
Analytics-assisted organizational decision making (DM) has returned to the use of qualitative evaluations and verbal descriptions of the state of systems on the threshold of DM. One of the most widely used approaches to calculating probability-based DM is decision analysis. This approach includes different frameworks, such as the construction of decision matrixes, fourfold patterns, decision trees, analysis of utility functions. Decision matrixes are constructed both for in-game decision calculations by athletes, as in American football or volleyball and for organizational DM on the sport organization level. The wide spectrum and diversity of data in sport activities seem even more problematic when dealt with in large quantities, which raises the issue of 'big data', a different arrangement of quantitative and qualitative parameters for analysed systems. Complex analytics in general and sport analytics in particular operate with diverse data measured and evaluated by hundreds of units, indexes and qualitative assessments.
