This paper discusses how data-based strategic and financial management can contribute to the competitive advantage of science and technology-based Small and Medium-sized Enterprises (SMEs). SMEs are challenged to use data to make better business decisions in an ever-dynamic and technology-driven market. This research combines data analytics into a strategic and financial management system, and it reveals how real data insights could simplify operations, project trends, cost less, and increase profits. The paper measures the effectiveness of the data-driven strategies in influencing the major financial outcomes, such as ROI, profit margins, and return on assets (ROA), through statistical analysis, regression models, and performance metrics. The study design integrates surveys, interviews, and financial performance data of SMEs to evaluate the success of such strategies in developing long-term growth and innovation. According to key findings, SMEs that use data analytics are better placed in terms of financial stability, resource allocation, and market share. The paper concludes with discussions on the need to constantly integrate data into business operations and recommends that machine learning, AI, and big data analytics have a colossal potential to enhance the accuracy of forecasts, financial planning, and customer interactions. The next research ought to be directed towards the incorporation of new technology to enhance data analytics procedures and give SMEs a sustainable competitive advantage in a dynamic global market.
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