Companies need to use Big Data Analysis results to support financial decision-making. This article examines the extent of Big Data Analysis in Management Information Systems (MIS) and its impact on a company's financial performance. The study used a Systematic Literature Review (SLR) following the PRISMA 2020 guidelines. Articles were retrieved from Google Scholar, and after identification, screening, and eligibility assessment, 20 relevant articles were analyzed through qualitative content analysis. The findings indicate that integration of the Big Data Analysis results into MIS usage leads to significant improvements in operational efficiency, more accurate financial forecasts, and better quality in the evaluation of company performance. This research primarily highlights Big Data Analysis as a data processing tool & methodology that, when embedded in the Management Information System, delivers value and should not be considered solely a strategic organizational capability. On a practical note, the findings suggest that there is a need to strengthen the link between information systems and enhance user skills in interpreting data analysis results. Further research is recommended to empirically examine the mechanism of utilization of Big Data Analysis in specific functions of MIS and consider organizational contextual factors. Keywords: Big Data Analysis; Management Information Systems; Financial Performance; Systematic Literature Review; Decision Making
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