Digital transformation has become a key driver of innovation and competitiveness in the financial sector, particularly in the context of cloud computing and data-driven decision-making. This study presents a case analysis of a Chilean bank that transitioned from an on-premises infrastructure to a cloud-based ecosystem, deployed over Microsoft Azure technologies. The research examines the challenges, processes, and outcomes associated with this transformation, highlighting the role of advanced data management techniques, such as MLOps, in optimizing business intelligence and operational efficiency. The transition involved restructuring data ingestion, processing, and visualization workflows, integrating tools like Azure Data Factory, Azure Databricks, and Data Lake Storage to improve scalability, automation, and security. The study discusses key improvements, including enhanced real-time data access, better orchestration of analytics pipelines, and increased transparency through Identity and Access Management (IAM) systems. Findings indicate that migrating to a cloud framework not only enhances system efficiency but also strengthens regulatory compliance, risk management, and customer trust. The research underscores digital transformation as a strategic pillar in modern banking, demonstrating how cloud-native architectures can drive operational resilience, data governance, and innovation in financial services.