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

Author

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  • Benjamin Monday Ojonugwa
  • Bisi Ogunwale
  • Oluwasanmi Segun Adanigbo
  • Akoche Ochefu

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.

Suggested Citation

  • Benjamin Monday Ojonugwa & Bisi Ogunwale & Oluwasanmi Segun Adanigbo & Akoche Ochefu, 2025. "Real-Time Analytics Dashboards for Emergency Business Continuity and Crisis Decision Support," International Journal of Scientific Research in Science and Technology, Technoscience Academy, vol. 12(3), pages 959-970, June.
    • Handle: RePEc:etm:ijsrst:v12:y2025:i3:id:908
    DOI: 10.32628/IJSRST25123103
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