Big Data Tools for Enterprise Information Systems: A Systematic Review (#1925)

Authors

Choquehuanca León, Renzo Esteban

Palomino Vivanco, Sebastian Valentin

Abstract

This systematic review examines the use of Big Data management tools in enterprise information systems for decision-making, with the aim of analyzing how these tools mitigate risks in critical decision-making processes. Using the Scopus database and applying the PICO and PRISMA methodologies, 34 relevant articles were selected based on inclusion and exclusion criteria. The findings highlight the feasibility of data management tools such as SQL Server, Power BI, and Apache Hadoop as critical to improving performance in information systems, optimizing data analysis, and reducing operational costs, thereby improving decision-making in organizational systems. The review underlines the importance of integrating these tools to address complex data analysis and decision-making queries in Big Data environments. Key results reveal that these tools have a significant impact on operational efficiency, data processing, and strategic planning, making them indispensable elements for modern businesses. The study concludes that the effective use of Big Data tools not only optimizes business processes, but also supports the sustainable growth of organizations by enabling data-driven decision-making. Keywords: Big Data, Apache Hadoop, Power BI, SQL Server, decision making, enterprise information systems.