This study analyzes the impact of social, ecological, and economic components on achieving Sustainable Development Goals (SDGs) in seven selected countries for the period 2000–2022 (Australia, Canada, Germany, the Netherlands, Switzerland, the United Kingdom, the United States). Using data from the Sustainable Development Reports 2017, 2019, and 2023, a correlation and regression analysis was conducted to assess the relationships between the components and the SDG Index. The results demonstrate a strong positive relationship between social, ecological, and economic factors and progress towards achieving the SDGs, with variations between countries. The study revealed the limitations of aggregated data analysis that negatively affect the implementation of the planning function. The research highlighted the importance of a country-by-country approach in assessing sustainable development progress. The results underscore the importance of developing tailored strategies for achieving the SDGs, which are sensitive to each country’s specific conditions, strengths, and weaknesses in different aspects of sustainability. These conclusions are important for the shaping of policies and strategic planning for achieving the SDGs.

This paper investigates how Sustainable Development Goals SDG 3 (Health and Well-being) and SDG 10 (Reducing Inequality) interacted during the period 2009–2021 within the context of income disparities in the European Union and Ukraine. The central assumption is that lowering income inequality improves overall population health. The research proposes a conceptual model with four main elements: classifying countries according to their Gini index along with their performance on SDG 3 and SDG 10; analyzing how income inequality and progress on SDG 10 influence health outcomes (SDG 3); categorizing countries based on the strength of links between inequality measures and well-being indicators; and interpreting these results in the context of Ukraine’s European integration aspirations. Methodologically, cluster analysis, correlation and regression models, and semantic differentiation are applied. The findings show that a reduction in income inequality positively affects health and well-being. Nonetheless, Ukraine continues to face considerable structural and institutional hurdles. From a governance standpoint, the study highlights the need for cohesive policies that integrate economic, health, and social dimensions. Effective public management should coordinate national reforms to match EU healthcare and social policy standards. Strengthening institutions, ensuring fair access to healthcare services, and adopting inclusive policy instruments remain crucial to advancing both SDG 3 and SDG 10 targets, as well as supporting Ukraine’s broader integration with the European Union.

This article delves into the pivotal role that business analytics plays in the era of Big Data, focusing on how it transforms decision-making processes in contemporary organizations. Big Data analytics has become an essential tool for businesses striving to gain a competitive edge in an increasingly data-driven world. The research outlines the main trends in the application of Big Data technologies, such as the integration of artificial intelligence (AI) and machine learning (ML), predictive analytics, and real-time data processing. These technologies enable organizations to process large datasets more efficiently, uncover hidden patterns, and make datainformed decisions with greater precision. The authors discuss the key benefits of adopting Big Data analytics, particularly in areas like customer behaviour personalization, enhanced risk management, and optimization of business operations. By leveraging predictive analytics, companies can forecast trends, mitigate risks, and tailor products and services to meet customer demands. Additionally, the article highlights the growing importance of real-time analytics, allowing organizations to respond promptly to market changes and operational challenges. However, the article also emphasizes the challenges businesses face when integrating Big Data analytics into their operations. Issues related to data security, privacy, and ethics are becoming increasingly critical, particularly with the expansion of data collection from various sources. The paper suggests that for organizations to succeed in the Big Data era, they must address these ethical concerns and ensure transparency and responsibility in data usage. Moreover, the role of skilled data scientists and analysts is underscored as a crucial factor in the effective implementation of analytics tools. The article concludes by identifying potential directions for future research, particularly in improving data quality and addressing the ethical implications of Big Data usage in sectors like healthcare and finance, where sensitive personal information is often involved. Further investigation into how organizations can better manage the balance between data-driven insights and privacy concerns is recommended. Overall, the research highlights how business analytics, supported by Big Data, offers new opportunities for informed decision-making, operational efficiency, and competitive advantage in the modern business landscape.

Journal of Entrepreneurship, Management and Innovation