Abstract:

This study examined the impact of artificial intelligence (AI)-driven analytics on organizational performance. Specifically, the study investigated the influence of predictive analytics, decision automation, and data-driven strategic planning on organizational performance. The study adopted a survey research design. Data were collected from 320 managers and senior staff of selected manufacturing, banking, telecommunications, and service organizations in Nigeria. A sample size of 178 respondents was determined using Taro Yamane's formula, while data were analyzed using descriptive statistics and multiple regression analysis. Findings revealed that predictive analytics significantly improves organizational profitability (β = 0.381, p < 0.05), decision automation positively influences organizational productivity (β = 0.294, p < 0.05), and data-driven strategic planning has a significant positive impact on organizational efficiency (β = 0.427, p < 0.05). The study concludes that AI-driven analytics significantly enhances organizational performance through improved predictive analytics, decision automation, and data-driven strategic planning. The study recommends increased investment in AI infrastructure, employee training, and data governance systems to maximize organizational benefits from AI technologies.