The Role of Data Economics in the Digital Transformation Era Valuation Ownership and Monetization Strategies

The digital revolution has positioned data as a crucial economic resource, raising complex questions about its valuation, ownership, and monetization. This study explores the intricate relationships between these elements and their impact on the broader digital economy. A mixed-methods approach was employed, combining quantitative analysis of financial reports, regulatory filings, and market research data with qualitative insights from expert interviews and case studies. The study utilized multiple regression analysis, panel data techniques, and machine learning algorithms to examine the determinants of data value and the effectiveness of monetization strategies. The analysis revealed significant variability in data valuation across industries, with data quality and volume emerging as key determinants. Ownership models showed a strong correlation with monetization effectiveness, while regulatory frameworks were found to have a substantial impact on data economics. The findings highlight the need for more standardized approaches to data valuation and the importance of balancing stakeholder interests in ownership models. The study contributes to the ongoing dialogue on digital governance and provides insights for policymakers and business leaders navigating the data-driven economy.