Several crucial factors can impact the data analytics framework such as sources of data, quality of data, technological advancement, complexity of data, expertise of data analysts, market or industry trends, regulatory changes, ethical considerations, integrity of data, availability of resources, analytical tools or techniques and evolving business requirements. Addressing these significant factors ensures a robust and effective data analytics framework that provides valuable insights and also continues to support data-driven decision-making.