The rapid advancement of Artificial Intelligence, particularly Generative AI, is significantly transforming the field of business analytics by enabling faster data processing, automated reporting, and enhanced decision support. This study aims to examine the adoption of Generative AI in business analytics and evaluate its impact on managerial decision-making, productivity, and operational efficiency. A descriptive research design was employed, and primary data was collected through a structured questionnaire from 100 working professionals across diverse industries including retail, manufacturing, banking, and information technology. The study analyzes awareness levels, usage patterns, benefits, and challenges associated with Generative AI tools. The findings reveal a high level of awareness (91%) and substantial adoption (65%) of Generative AI within organizations. A majority of respondents reported improvements in decision-making speed (69%) and efficiency through time reduction (70%). However, the impact on productivity was found to be moderate and varied among users. Generative AI is primarily utilized for data analysis, decision support, and report generation, with finance identified as the most benefited functional area. Despite these advantages, key challenges such as data privacy concerns, integration issues, lack of trust in AI-generated outputs, and skill gaps were identified. The study concludes that Generative AI has strong potential to enhance business analytics and managerial decision-making, but its effectiveness depends on proper implementation, user understanding, and responsible usage practices