Real-Time Analytics Dashboards for Emergency Business Continuity and Crisis Decision Support

Benjamin Monday Ojonugwa, Bisi Ogunwale, Oluwasanmi Segun Adanigbo and Akoche Ochefu

International Journal of Scientific Research in Science and Technology, 2025, vol. 12, issue 3, 959-970

Abstract: This paper proposes a framework for designing and implementing real-time analytics dashboards to support emergency business continuity and crisis decision-making. Leveraging technologies such as big data analytics, artificial intelligence (AI), and cloud computing, the framework enables organizations to monitor critical metrics, predict disruptions, and make informed decisions during crises. A systematic literature review synthesizes insights on dashboard design, data integration, and crisis management, while case studies across logistics, healthcare, and finance validate the framework’s applicability. Findings demonstrate that real-time dashboards can reduce response times by up to 50%, improve decision accuracy by 40%, and enhance operational resilience. The study contributes to the literature on crisis management and offers practical guidelines for organizations aiming to strengthen business continuity.

Keywords: Big Data Analytics; Business Continuity; Cloud Computing; Crisis Decision Support; Data Integration (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:etm:ijsrst:v12:y2025:i3:id:908

DOI: 10.32628/IJSRST25123103

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