This final paper deals with the problem of the interconnection of data and models, that is, explains their proper structure and their interaction through the concepts of metadata and metamodels in the context of managerial functions, structures, and ultimately managerial decision-making. Their detailed analysis and the ways which management team uses metadata and metamodels important for decision-making process on managerial hierarchical structures in the organization, which is supported by concrete examples from professional literature. Data quality issues, date of data creation, data quality, time limitation, managerial experience and risk-taking are some of the components that directly connect metadata and managerial decision-making process. Considering that the manager, in organizational structure, is the main figure responsible for decision-making processes, the same metadata will not work in the same way for each individual. Data quality is measured depending on the data structure, accuracy and reliability. That quality, together with time limit, can have a positive or negative impact on decision maker himself. The manager’s responsibility to admit the mistake, or to generate the best possible information from the data, makes him stronger, and contributes to his work experience. Consequently, the greater his experience, the higher the quality of the decision made and vice versa. This complete example will be witnessed by excerpts professional and scientific papers that reveal in what ways metadata directly affects the process of managerial decisions.