Advancing Organizational Resilience Through Learning and Development Analytics: A Data-Driven Approach to Strategic Growth

Abstract

This chapter explores data-driven strategies that can enhance decision-making, resource allocation, instruction effectiveness, and promote institutional openness to change. The study integrates new learning analytics trends, artificial intelligence in educational evaluation, data visualization techniques, and forecasting modeling to develop a multi-faceted approach to organizational resilience. The authors present a new Resilience Analytics Framework (RAF) that integrates diverse data sources and analytic techniques for strategic growth initiatives in higher education. The chapter also discusses the ethical implications and pragmatic challenges of analytics use and provides actionable recommendations for institutions at different analytics maturity levels. The chapter concludes with potential research directions, citing future technologies like machine learning, natural language processing, and multimodal analytics to further improve organizational resilience and responsiveness in higher education.