Driving Sustainability using Big Data Analytics

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.