This study explores the integration of data analytics applications within Management Information Systems (MIS) and their impact on decision-making processes in organizational settings. The research combines qualitative and quantitative methodologies, drawing insights from scholarly literature, surveys, and interviews. Key findings include the transformative potential of data analytics tools in facilitating informed decision-making, with 78% of respondents reporting significant adoption rates. However, 62% of respondents identified data quality as a major challenge. Despite these challenges, data analytics have been shown to enhance operational efficiency by 35% and competitive advantage by 22%. The study emphasizes the need for organizations to address data quality issues and adopt comprehensive strategies that align technology, processes, and human resources. Future research should focus on ethical implications, longitudinal analyses, and interdisciplinary collaborations to further optimize decision-making through data analytics in MIS.This study explores the integration of data analytics applications within Management Information Systems (MIS) and their impact on decision-making processes in organizational settings. The research combines qualitative and quantitative methodologies, drawing insights from scholarly literature, surveys, and interviews. Key findings include the transformative potential of data analytics tools in facilitating informed decision-making, with 78% of respondents reporting significant adoption rates. However, 62% of respondents identified data quality as a major challenge. Despite these challenges, data analytics have been shown to enhance operational efficiency by 35% and competitive advantage by 22%. The study emphasizes the need for organizations to address data quality issues and adopt comprehensive strategies that align technology, processes, and human resources. Future research should focus on ethical implications, longitudinal analyses, and interdisciplinary collaborations to further optimize decision-making through data analytics in MIS.