How Big Data Analytics Applications Address Industrial Parks Operations Challenges
Keywords:
Industrial Parks, Big Data Analytics, Business Development, Sustainability Challenges, Data ManagementAbstract
Big Data Analytics (BDA) applications have proliferated across diverse industries, from healthcare to manufacturing, showcasing their potential to revolutionize operations and enhance efficiency. However, despite this widespread adoption, there's limited comprehension of how BDA specifically impacts and addresses sustainability challenges within the operational context of industrial parks. This study delves into exploring how Big Data Analytics (BDA) address industrial parks sustainable operations challenges. The investigation particularly identified three main themes big data analytics addressing industrial parks operations challenges these are power management, waste management, and security and safety management The study has employed a qualitative methodology to comprehensively understand how BDA addresses challenges in these settings. The study findings showed various big data analytics approaches and its limitations. Ultimately, this study aspires to contribute a nuanced understanding of how BDA impacts industrial park operations and management, laying the groundwork for future exploratory case studies that will provide more comprehensive insights into the practical implementation of BDA strategies in these settings.
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