Published Paper Details:

Data analytics has become a crucial tool for enhancing business decision-making across industries by enabling organizations to transform large volumes of data into meaningful insights. This study examines the use of analytical tools such as Power BI, Tableau, and Python to identify trends, improve operational efficiency, and support strategic planning through a mixed-methods approach that combines secondary data from global business reports with qualitative insights from industry professionals. The findings show that data-driven organizations achieve better performance, faster decision-making, and higher profitability compared to traditional approaches. However, challenges such as data quality issues, privacy concerns, and a lack of skilled professionals limit effective adoption. The study concludes that investing in analytics education, adopting visualization tools, and establishing strong data governance frameworks are essential for sustainable and competitive business intelligence.