Driving Sustainability using Big Data Analytics

Dhriti Ashtekar T, Nishit Khamesra, M. S. Bhargavi
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Abstract

With the explosion of data in the digital age, Big Data Analytics (BDA) has been embraced as a powerful technology for businesses to gain insights and make data-driven decisions. Its impact is evident across various industries, from fast-food chains utilizing it for personalized marketing to healthcare institutions employing it for improved patient care. This research explores the burgeoning field of BDA concerning sustainability by employing case studies to illuminate the powerful ways BDA empowers companies to move towards sustainability, aiming to demonstrate its transformative potential in achieving environmental and social goals. A humongous amount of data is generated, estimated at 2.5 quintillion bytes daily, which provides a fertile ground for BDA applications. Harnessing this data will help companies gain valuable insights into their environmental footprint, optimize resource utilization, and frame ingenious solutions for sustainability challenges. As a case study, we will be delving into Allbirds, a company that has sustainability as a core concept, that has identified pivotal areas for enhancement and incorporated data-driven solutions to optimize resource utilization and minimize the environmental impact to cope with issues such as climate changes and global warming. As another case study, we will explore Siemens which demonstrates the transformative power of big data in achieving broader environmental and social goals using their MindSphere platform.
利用大数据分析推动可持续发展
随着数字时代数据的爆炸式增长,大数据分析(BDA)已成为企业获得洞察力和做出数据驱动决策的强大技术。它对各行各业的影响显而易见,从快餐连锁店利用它进行个性化营销,到医疗机构利用它改善病人护理。本研究通过案例研究,探讨了有关可持续发展的新兴 BDA 领域,阐明了 BDA 赋予公司实现可持续发展的强大方法,旨在展示其在实现环境和社会目标方面的变革潜力。据估计,每天产生的数据量高达 2.5 万亿字节,这为 BDA 应用提供了肥沃的土壤。利用这些数据将有助于企业深入了解其环境足迹,优化资源利用,并为应对可持续发展挑战制定巧妙的解决方案。作为一个案例研究,我们将对 Allbirds 公司进行深入研究,该公司以可持续发展为核心理念,确定了需要改进的关键领域,并采用数据驱动的解决方案来优化资源利用,最大限度地减少对环境的影响,以应对气候变化和全球变暖等问题。作为另一个案例研究,我们将探讨西门子公司,该公司利用其 MindSphere 平台展示了大数据在实现更广泛的环境和社会目标方面的变革力量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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