Description: Model governance is an essential framework for managing and overseeing data models within an organization. This approach focuses on establishing policies, procedures, and standards that ensure the quality, integrity, and security of the data models used in decision-making. Model governance involves defining roles and responsibilities, as well as implementing controls to monitor the performance and effectiveness of the models. Additionally, it seeks to ensure that models are transparent and understandable, facilitating their interpretation and use by stakeholders. In an environment where data is increasingly valuable, model governance becomes a critical component for mitigating risks, complying with regulations, and maximizing the value of data assets. This framework applies not only to analytical models but also to those used in artificial intelligence and machine learning, where oversight and ethics are paramount. In summary, model governance is a continuous process that enables organizations to effectively manage their data models, ensuring alignment with strategic and operational objectives.
