THE IMPACT OF DIGITAL TRANSFORMATION ON STATISTICAL DATA COLLECTION AND ANALYSIS: TOOLS AND STRATEGIES FOR MODERN STATISTICAL PRACTICES
Keywords:
Digital transformation, statistical data collection, big data analytics, machine learning, cloud computing, IoT, real-time data, statistical methodologies, data privacy, innovation in statistics.Abstract
Digital transformation has revolutionized the field of statistics, reshaping the way data is collected, analyzed, and interpreted. This article explores the profound impact of digital technologies on modern statistical practices, emphasizing the tools and strategies that have emerged in this dynamic landscape. Key advancements include the integration of big data analytics, artificial intelligence (AI), cloud computing, and machine learning (ML), which have enabled faster and more accurate data processing. The article also highlights how digital tools such as online surveys, mobile applications, and Internet of Things (IoT) devices have enhanced data collection, particularly in real-time and large-scale contexts. Challenges such as data privacy, cybersecurity, and the digital divide are critically examined alongside opportunities for fostering innovation in statistical methodologies. Finally, the article provides actionable strategies for organizations and governments to leverage digital tools effectively, ensuring ethical, efficient, and inclusive statistical practices. This comprehensive analysis underscores the transformative potential of digital technologies in driving informed decision-making across various sectors.
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Copyright (c) 2024 Laylo Egamberdiyeva
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