INNOVATION PERFORMANCE EVALUATION USING DATA ANALYTICS IN SMALL AND MEDIUM ENTERPRISES

Abstract

Small and Medium Enterprises (SMEs) are critical drivers of economic growth and innovation. However, measuring and enhancing their innovation performance remains a challenge due to resource constraints and limited access to structured data. This study presents a data analytics–based framework for evaluating innovation performance in SMEs. Using surveys, financial records, and operational metrics from SMEs across multiple sectors, key innovation indicators such as R&D intensity, product launch frequency, process improvements, and market responsiveness were analyzed. Advanced analytics techniques, including descriptive statistics, regression analysis, and predictive modeling, were applied to assess innovation outcomes. Findings reveal that SMEs leveraging data analytics achieve higher innovation efficiency, faster time-to-market, and improved resource utilization. The framework provides actionable insights for managers and policymakers aiming to enhance SME innovation capabilities