Empowering Decision-Making Through Big Data Analytics Insights from Exploratory, Descriptive, Sentiment, and Predictive Framework

Abstract

Big data analytics has become an essential tool for industries to make informed decisions, enhance operational efficiency, and gain deep insights from diversified vast amounts of data. This paper explores the transformative power of big data analysis, focusing on four core types: Exploratory, descriptive, sentiment, and predictive analysis. These methods are critical in sectors such as healthcare, retail, finance, and transportation, enabling businesses to identify trends, improve customer satisfaction, and forecast future outcomes. The paper discusses the methodology, required resources, and enabling technologies for effective big data utilization, offering a comprehensive framework for implementation. A discussion on challenges and strategies for overcoming them is included, alongside real-world applications that demonstrate big data's tangible benefits. Finally, a forward-looking conclusion emphasizes the importance of continuous adaptation and innovation to leverage big data's full potential.