Big Data Analytics
Abstract:
This study examines how the acceleration of digital transformation and technological advancement has led to an era of information overload, commonly referred to as Big Data, which has become a vital resource for deci sion-making and organizational transformation. Big Data Analytics (BDA) is a crucial component of modern decision-making and management. It is characterized by factors such as volume, variety, and velocity, BDA utilizes diverse data mining techniques to derive unique insights, transforming business functions by enhancing process-oriented dynamic capabilities, product innovation, and overall business value. Despite its advantages, big data analytics implementation faces challenges such as data fragmentation, integration difficulties, high costs, security and privacy concerns. The requirement for large-scale infrastructure and highly specialized expertise, which results in high initial costs and extensive periods to realize a return on investment (ROI) has made such resistance for organizational change. Despite these hurdles, BDA offers transformative potential, particularly in healthcare, enabling proactive, personalized patient care. The field of healthcare exemplifies both the benefits and complexities of big data adoption, as real-time analytics and predictive modeling en hance patient outcomes, operational efficiency, and proactive care, such as demonstrated by CHI-Franciscan’s successful integration of these technologies. Looking ahead, the effective future of big data analytics depends on fostering interoperability across systems, strengthening data governance, ensuring ethical standards, and promoting interdisciplinary collaboration.
