More than ever, the increasingly complex challenges facing higher education are requiring institutions to develop a deeper understanding of the data at their disposal. Often, however, the available information is too vast and too variable to handle using traditional analytic methods.
Big Data provides a conceptual framework for managing and analysing large and disparate information stores, allowing institutions to identify and model patterns, and ultimately improve decision-making capabilities.
This research investigates the theoretical and practical implications of Big Data within the higher education environment, and seeks to determine whether the current fascination with analytics can better position higher education institutions to flourish in the 21st century. It aims to offer new insights to current knowledge of the potential of Big Data to advance the goals and aspirations of enhancing learning, teaching and research.