In today's dynamic business landscape, the ability to make informed decisions is paramount for organizational success and competitiveness. With the advent of big data and advanced analytics techniques, businesses have access to vast amounts of data that can potentially provide valuable insights. This article aims to explore the role of data analytics in facilitating business decision-making processes. Various data analytics techniques such as descriptive, diagnostic, predictive, and prescriptive analytics, are helpful in different stages of decision-making. Chapter also addresses the challenges and limitations associated with data analytics implementation, including data quality issues, privacy concerns, and organizational barriers. Strategies for overcoming these challenges are discussed to provide practical insights for data analytics effectively. Recommendations for businesses seeking to integrate data analytics into their decision-making processes are also given. Emphasizing the importance of a data-driven culture. The insights generated through data analysis serve as a foundation for informed decision-making within organizations. Decision-makers use these insights to evaluate alternative courses of action, assess risks and opportunities, and make strategic choices that align with organizational goals and objectives. Data analytics thus empowers decision-makers with evidence-based insights and foresight, enabling them to make more accurate, timely, and effective decisions across various functional areas such as marketing, operations, finance, human resources, and supply chain management.
Ray et al. (Tue,) studied this question.