With classic statistical approaches and novel machine learning methods, we attempt to improve insight into the connections between the quality of an organisation of firms as a type of formal social unit and the business results of firms. The research used a data set with 72 extensive and very difficult-to-obtain assessments of the quality of an organisation (recorded only once 2007) and their business results, traced in four successive business years (2006–2009). We hypothesize that a causal relationship exists between the latter and the former. Only the final conclusions will be presented, together with some excerpts of the most interesting findings in the selected years of observation. A novel general explanation method from the computer science field of machine learning and data mining can be used to explain the influence of individual relevant organisational elements on the business results. Our findings confirm that traditional statistics and machine-learning approaches are successful at modelling this dependency relationship. Furthermore, the explanation of the influence of the organisational elements on the predicted business results provides insights that have meaningful scientific interpretations and proves the important meaning of good organisation for its firm.