Business Analytics Maturity and Organizational Performance: An Empirical Study of Data-Driven Enterprises

Abstract

This study aims to understand the relationship between Business Analytics Maturity and Data-Driven Decision-Making and Organizational Performance in data-driven enterprises. The research method used was the quantitative research approach with cross sectional research design; the 200 respondents were collected by using the structured questionnaire technique with a 5-point likert scale. “The study covered the Data Infrastructure, Data Governance, Analytical Capability, Data-Driven Organizational Culture, Business Analytics Maturity, Data-Driven Decision-Making and Organizational Performance”. Descriptive statistics, multiple linear regressions and Pearson's correlation analysis were used to analyze data. The results show that both Data Infrastructure and Data Governance have a strong positive impact on Organizational Performance, accounting for 9.8% of the variance in data performance. The combined effect of Analytical Capability and Data-Driven Organizational Culture is greater and accounts for 54.6% of the variance in Organizational Performance. Analytical Capability comes out as a greater predictor. In addition, there is a significant positive correlation between Business Analytics Maturity and Data-Driven Decision-Making (r = 0.608, p < 0.001). All three hypotheses were accepted. The study concludes that organizations need integrated analytics capabilities, effective governance, robust infrastructure and a supportive data-driven culture to improve performance and strengthen evidence-based decision-making.