Impact of big data analytics on sustainable business practices in India: A comprehensive analysis

The rapid expansion of big data analytics has significantly altered the landscape of sustainable business practices in India. This study examines the influence of big data analytics on the triple bottom line of sustainability, encompassing the environmental, social, and economic dimensions across various sectors within the Indian context. Through a comprehensive analysis of secondary data sourced from academic journals, industry reports, and case studies, this study underscores the potential of big data analytics to enhance operational efficiency, optimize resource utilization, and foster innovation for competitive advantage. The findings reveal sector-specific applications such as improved energy management, precision agriculture, supply chain optimization, and enhanced healthcare services. Nonetheless, the study also identifies substantial challenges in the widespread adoption of big data analytics for sustainability, including technological limitations, lack of structured frameworks, data complexity, infrastructure deficiencies, and data security concerns. To fully leverage the potential of big data analytics, this study advocates a multi-stakeholder approach involving businesses, policymakers, and academia. Businesses should prioritize the integration of advanced analytics and align their initiatives with sustainable practices. Policymakers must develop supportive regulatory frameworks, provide incentives, and invest in the digital infrastructure. Academia plays a crucial role in advancing research, developing curricula, and fostering interdisciplinary collaborations. As technology evolves and data availability increases, the potential of big data analytics to drive sustainable development in India is anticipated to expand. Future research should focus on sector-specific applications, long-term impacts, and strategies to overcome barriers to adoption, particularly for small and medium-sized enterprises.