Data modernization is the process of transforming traditional, outdated data systems and practices into more efficient, flexible, and scalable technologies and methodologies. This typically involves migrating data from legacy systems to cloud-based platforms, implementing data governance and management processes, integrating new data sources, and leveraging advanced analytics and machine learning to extract valuable insights from the data. Data modernization aims to help organizations keep pace with the rapidly evolving data landscape and drive better decision-making, innovation, and business performance.