This study investigates the integration of big data analytics in financial reporting within Rwanda’s financial services sector, focusing on adoption trends, challenges, and benefits. Employing a qualitative methodology, it analyzes secondary data from peer-reviewed articles, industry reports, and case studies. Statistical analysis revealed significant findings: a chi-square test confirmed the correlation between ICT adoption and financial institutional growth (χ²(6, N=4)=25.89, p<0.01); regression analysis demonstrated that infrastructure deficits and skill gaps explained 72% of inefficiencies (R²=0.72, F(2,14)=18.23, p<0.001); and a paired t-test showed a substantial increase in fraud detection rates post-adoption of analytics (t(8)=-5.27, p<0.001), rising from 10% in 2005 to 55% in 2012. The study concludes that big data analytics significantly enhances financial transparency and compliance, recommending investments in ICT infrastructure, capacity building, supportive regulations, and advanced fraud detection systems to optimize sectoral performance.