TITLE:
COVID-19: Optimizing Business Performance through Agile Business Intelligence and Data Analytics
AUTHORS:
Andy Ohemeng Asare, Prince Clement Addo, Eric Ohemeng Sarpong, Daniel Kotei
KEYWORDS:
COVID-19, Service Supply Chain Network, Agile Business Intelligence, Artificial Intelligence, Data Analytics
JOURNAL NAME:
Open Journal of Business and Management,
Vol.8 No.5,
September
3,
2020
ABSTRACT: 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 on 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.