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Abstract

This report uses descriptive metadata to examine the role of big data analytics in fostering sustainable development. Big data is employed in hospitality, transportation, health, government, and e-commerce. Consumer profiling, personalized pricing, marketing, advertising, and predictive analysis are big data applications.

Businesses now face the issue of reconciling profit maximization with sustainability. The extraordinary amount of data created by organizations can provide insights for optimal resource use and waste minimization. Big data helps reconcile opposing interests by offering accurate predictions. Several projects are exploring how big data analytics might produce social and environmental benefits. Novel analytical methodologies, massive volumes of data, and new technologies will help define more nimble and efficient environmental policy. This study examines how big data promotes sustainability.

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Chandrakala, M., Ch, R.K. (2024). A Path Towards Sustainability in the Era of Data-Driven Big Data Analysis. In: Khamis Hamdan, R., Hamdan, A., Alareeni, B., Khoury, R.E. (eds) Information and Communication Technology in Technical and Vocational Education and Training for Sustainable and Equal Opportunity. Technical and Vocational Education and Training: Issues, Concerns and Prospects, vol 38. Springer, Singapore. https://doi.org/10.1007/978-981-99-6909-8_18

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  • DOI: https://doi.org/10.1007/978-981-99-6909-8_18

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  • Publisher Name: Springer, Singapore

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  • Online ISBN: 978-981-99-6909-8

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