IMPACT OF DATA ANALYTICS ADOPTION ON ORGANIZATIONAL PERFORMANCE

This research investigates the impact of data analytics adoption on organizational performance, focusing on its influence on operational efficiency, decision-making, and the challenges faced by organizations during adoption. As businesses increasingly rely on data-driven strategies, understanding the role of data analytics tools becomes crucial to enhancing operational processes and making informed decisions. The study employed both quantitative and qualitative research methods, utilizing surveys and interviews with key organizational stakeholders. The findings reveal that organizations adopting data analytics tools report significant improvements in operational efficiency and decision-making capabilities. Key challenges identified include data quality issues, data privacy concerns, and the shortage of skilled professionals. Statistical analysis, including t-tests and Pearson correlation, confirms that data analytics adoption has a positive impact on organizational outcomes. The study concludes that while the benefits of data analytics are substantial, addressing the challenges of data quality and privacy is essential for realizing its full potential. Based on the findings, recommendations are made for organizations to invest in data quality management, employee training, and robust data governance practices to optimize the use of data analytics tools. This research contributes to a deeper understanding of the practical implications of data analytics in modern organizations and provides insights for organizations seeking to leverage data analytics for improved performance and competitive advantage.