Project Management and Business Intelligence: A Bibliometric Analysis

Abstract This thesis explores the integration of Project Management (PM) and Business Intelligence (BI) through a bibliometric analysis. As organizations increasingly undergo digital transformation, the convergence of PM and BI tools becomes essential for enhancing project outcomes and strategic decision-making. By conducting a thorough bibliometric analysis, this study maps the existing literature in order to identify trends, influential authors, and key publications that have shaped the field of PM and BI integration. Recent studies highlight the critical role of BI in enhancing project management through robust data analytics and visualization capabilities. The research delves into the dynamic interactions between BI tools and PM practices, emphasizing how agile methodologies enhance the adaptability and success of digitalization projects. Agile project management is crucial for managing the complexities and uncertainties inherent in digital transformation initiatives. The empirical analysis conducted in this thesis provides a comprehensive understanding of how BI tools can address traditional PM challenges such as risk management, resource allocation, and stakeholder communication. By leveraging data analytics and visualization, BI tools help project managers make more informed decisions and align project objectives with organizational goals. This research also uncovers gaps in the current literature and proposes areas for future study, offering valuable insights for both academics and practitioners aiming to leverage BI for more effective project management.