The Nexus of Big Data and Big Data Analytics for Managerial Business-Driven Decision-Making: A Systematic Review Analysis

Abstract

Academics and professionals are expanding their analysis of the implications of big data (BD) and big data analytics (BDA) in business-driven decision-making processes due to the increasing use of these tools in the field. Until now, the impact of BD and BDA on the efficacy of commercial decision-making systems has not been taken into consideration by academics or business executives, who have focused only on the technical aspects of these processes. The purpose of this paper is to review the literature on the relationship between the effectiveness of commercial and industrial decision-making systems and the application of BD and BDA. The study provides crucial information to evaluate whether BD and BDA encourage the use of advanced business intelligence and well-informed decision-making models. In this sense, the study identifies fundamental issues, such as accuracy and efficiency, which support business-driven decision-making processes. In essence, the current work adds theoretical knowledge and practices on BD and BDA for managerial business-driven decision-making and offers a glimpse into potential future agenda avenues to advance understanding in this field.