Data Analytics, Decision-Making Process and Business Performance: A Bibliometric Analysis

Considering the growing demand for data analytics and the increasing development data analytical tools, the present study aims to provide a summative state-of-the-art of the available literature on the impact of data analytics on decision-making and business performance. Businesses that effectively harness the power of data analytics can achieve enhanced performance and sustained competitive advantages. As technological advancements continue to evolve, the role of data analytics is expected to expand, unlocking new possibilities for research and practical applications across industries. The growing academic literature also reflects the unfolding potential of these tools. The interest and the impact across different industries suggests a need for a comprehensive study that could systematically analyze the breadth and depth of this impact. For this purpose, a deep search and research for “data analytics” (by the article title, abstract, and keywords field) on the SCOPUS database was conducted, which returned 41761 results, and a bibliometric approach was used to analyze time trends, citation patterns and high-frequency keywords by using VOSviewer. The bibliometric analysis of data analytics and its effects on decision-making and implicitly on business performance aims to contribute towards closing this gap in knowledge and answering the call for further investigation into the relationship between business analytics and business value. As research shows, incorporating data analytics into the decision-making process not only enhances business performance but also positions organizations for long-term success. Through the implementation of proper systems, the right capabilities can be unlocked and implicitly the true potential of data analytics is revealed. By leveraging data to its fullest potential, organizations can improve decision-making process, optimize resources, gain competitive advantages and ultimately increase their performance.