Articles
| Open Access | BIG DATA ANALYTICS AND SMART ECONOMY: MEASURING INNOVATION EFFICIENCY
Rakhmatova Mukhlisa Dilshod kizi , The Banking and Finance Academy of the Republic of Uzbekistan Capital Market and Stock Exchange FacultyAbstract
In the era of digital transformation, Big Data Analytics (BDA) has emerged as a cornerstone of innovation and competitiveness. The concept of the smart economy—an integrated, technology-driven system—relies heavily on the capacity to collect, analyze, and utilize data effectively. This article explores how BDA enhances innovation efficiency through better decision-making, dynamic measurement frameworks, and interconnected digital ecosystems. Drawing upon case studies from both developed and emerging economies, including Singapore, South Korea, and Uzbekistan, the paper highlights how BDA improves the allocation of resources, supports sustainable growth, and strengthens innovation policy. However, it also identifies persistent challenges such as data privacy, infrastructure inequality, and skills shortages. The paper concludes by recommending policy directions to build inclusive and ethical smart economies that maximize innovation efficiency.
Keywords
Big Data Analytics, Smart Economy, Innovation Efficiency, Digital Transformation, Data Governance
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