Development and Challenges of Big Data and Performance Metrics for Undergraduate Learner Management

The use of Big Data analytics has become increasingly pivotal in managing and optimizing educational processes, particularly in undergraduate student management. This paper explores the development, challenges, and performance metrics associated with integrating Big Data analytics into university management systems. It examines the evolution of Big Data tools, methodologies, and their application in tracking student performance, engagement, and overall academic success. This paper highlights significant challenges, including issues related to data privacy, the complexity of data integration, and the requirement for specialized infrastructure to manage large data volumes.”The role of performance metrics in evaluating student outcomes, faculty effectiveness, and institutional performance is also discussed. By addressing these facets, the paper aims to provide insights into how Big Data can improve decision-making processes, enhance personalized learning, and promote operational efficiency in higher education institutions.