Business Analytics Maturity and Competitive Advantage: Evidence from Data-Driven Enterprises

The accelerated growth of enterprise analytics has radically changed the manner in which companies create, analyze, and operationalize data to achieve a competitive edge. As the investments in analytics and AI are increasing all over the world, the performance metrics that relate to various levels of analytics maturity cannot be adequately measured. This research paper explores the effect of the descriptive, predictive and prescriptive analytics maturity levels on the performance metrics of firms, namely revenue growth, operational efficiency, returns on investment, customer acquisition cost and market competitiveness. Using a cross-industry sample of medium and large business firms, the study uses a structured framework of maturity measurement and multivariate regression and structural equation modelling to determine the extent of impact of performance at each stage of maturity. The findings indicate an evident trend: Descriptive analytics will generate small yet significant positive changes in the efficiency of operations; predictive analytics will result in much higher performance gains in decision accuracy and revenue growth; and prescriptive analytics, which involves optimization, simulation, and algorithmic decision execution, will cause the highest uplift in performance across virtually all measures. The research also concludes that a robust data-driven culture exacerbates maturity-performance nexus, and it increases the impact of high-level analytics. The current research adds value to the theoretical literature through a combination of the Porters competitive advantage theory, together with the contemporary analytics maturity models, and one of the pioneering empirical mappings of maturity progression to firm-level outcomes. In practice, the results emphasize the strategic importance of going beyond the simple reporting systems to predictive and prescriptive analytics to achieve long-term competitive differentiation. The research offers companies an evidence-based blueprint of the priorities in growth in analytics capabilities to maximize performance benefits.