This study analyses the performance-based efficiency and effectiveness of technology companies listed on Borsa Istanbul using Data Envelopment Analysis (DEA) and Logistic Regression (LR). The research focuses on evaluating the relative efficiency of selected technology firms over the period 2015-2023. DEA, a non-parametric technique, is used to measure the efficiency of decision-making units, while logistic regression helps identify the factors influencing efficiency. The study aims to assess the impact of financial ratios, such as current ratio, net profit margin, accounts receivable turnover, and others, on the firms' technical efficiency. The results indicate that Net Profit Margin (NPM) and Accounts Receivable Turnover (ADH) have the most significant positive effects on efficiency, while the Fixed Assets to Equity ratio (MDVOZK) negatively impacts efficiency. This analysis provides insights into the financial health and operational performance of technology firms, offering actionable recommendations for improving efficiency and guiding investment decisions. Key Words: Data Envelopment, Logistic Regression, BİST JEL: C45, C88, G21