The provided sources introduce a comprehensive data analytics framework specifically designed for measuring learning effectiveness in large banking organizations. This framework utilizes the Kirkpatrick Four-Level Evaluation Model, enhanced with banking-specific metrics and modern data analytics capabilities, to provide a holistic view of training impact. It details a multi-layered data collection system, including xAPI tracking, performance integration, and customer feedback, alongside a Key Performance Indicator (KPI) framework spanning reaction, learning, behavior, and business impact. The document also presents creative survey and feedback mechanisms, such as gamified online systems and offline observation checklists, and outlines advanced analytics models for predictive learning and performance. Finally, the framework includes an implementation strategy, detailing technology requirements, data privacy, expected ROI, and continuous improvement processes, with the research attributed to digital learning professional Rabi Sankar Das.