Impact of Data Analysis on Financial Performance in Small and Medium Manufacturing Companies

The upward-trending digital environment notwithstanding, small- and medium-sized enterprises (SMEs) operating in the manufacturing field are increasingly considering the strategic importance of data analytics to boosting their financial performance. The review provides a conceptual reconsideration of the interconnection between data-analytic adoption and the financial performance of firms. It questions the ability of predictive analytics, business intelligence, and live data processing to enable a greater quality in decision-making, increased cost-effectiveness, improved financial planning, and increased profitability. Based on the recent research conducted in the period between 2014 and 2024, the paper outlines the key financial metrics that are affected by the analytics, especially the return on investment (ROI), profit margins, and operational productivity. According to the empirically proven benefits, however, SMEs still face implementation limitations like the lack of technical infrastructure, poor human resources, challenging data integration, and cybersecurity threats. As a result, some promising future routes are noted in the review, such as the introduction of low-cost analytics or a focus on developing digital skills and the development of policy frameworks that would encompass the needs of SMEs. It concludes that data analytics, when strategically aligned with business goals, offers a powerful pathway for SMEs to achieve financial resilience, competitiveness, and sustainable growth in an increasingly data-driven economy.