Description: The Justification Analysis is a critical method in the field of model optimization, focusing on evaluating and validating the decisions made during the optimization process. This analysis allows researchers and professionals to understand the reasons behind the choices made, ensuring that each decision is backed by solid data and logic. Through this approach, the aim is not only to improve the efficiency of models but also to provide a clear and understandable basis for the decisions taken. The main characteristics of Justification Analysis include identifying assumptions, evaluating alternatives, and considering the implications of each decision. This process is essential to ensure that optimized models are not only effective but also ethically responsible and aligned with the strategic objectives of organizations. In a world where data-driven decision-making is increasingly crucial, Justification Analysis becomes an indispensable tool for analysts and managers, as it allows them to effectively communicate the reasons behind their decisions and foster trust in the results obtained.
