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COVID-19: Optimizing Business Performance through Agile Business Intelligence and Data Analytics

机译:Covid-19:通过敏捷商业智能和数据分析优化业务性能

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The current COVID-19 pandemic has led to a devastating socio-economic predicament, which has resulted in the temporary closure and collapse of thousands of businesses across the globe. The quicker companies can respond to the current pandemic situation, the more likely their chances of surviving in the short or long term. Businesses around the world are compelled to make significant changes to their business operations, such as downsizing, product, and service diversification. To address these changes quickly, companies need to adopt or capitalize on their business intelligence strategies through agile risk management, artificial intelligence systems, and data analytics to help make informed decisions to enhance business operations amid COVID-19. This article outlines some practical and theoretical recommendations of business intelligence strategies for organizations and their service supply chain network o n how to be adaptive, flexible, and innovative to survive and stay competitive during these challenging times by leveraging agile dimensions, artificial intelligence systems, and data analytics.
机译:目前的Covid-19大流行导致了毁灭性的社会经济困境,这导致全球数千个企业暂时关闭和崩溃。快速的公司可以回应目前的大流行情况,在短期或长期幸存的可能性越有可能。世界各地的企业被迫对其业务运营进行重大变化,例如缩小规模,产品和服务多样化。为了快速解决这些变化,公司需要通过敏捷风险管理,人工智能系统和数据分析来采用或利用他们的商业智能战略,以帮助提出知情决策,以加强Covid-19。本文概述了对组织及其服务供应链网络的商业智能战略的一些实用和理论建议,以及如何通过利用敏捷维度,人工智能系统和数据在这些挑战时期生存和保持竞争力的适应性,灵活性和创新性分析。

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