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Integrating a Project Risk Model into a BI Architecture

In: Digital Transformation in Industry

Author

Listed:
  • Marco Nunes

    (Project Management Department)

  • António Abreu

    (Polytechnic Institute of Lisbon, and CTS Uninova)

  • Jelena Bagnjuk

    (UKE (University Medical Center-Eppendorf))

  • Célia Saraiva

    (UTAD-IST)

  • Helena Viana

    (Commodity & Services Buyer at Supply Chain Department - BorgWarner,Lugar de Salvaterra)

Abstract

In today’s unpredictable and disruptive business landscape organizations face challenges that severely threatens their existence. To efficiently respond such challenges organizations must craft strategies to become more data-informed, agile, adaptative, and flexible. Integrating dynamic data analytical models in organizational structures to collect, analyze and interpret business data, is critical to organizations because it enables them to make more data-informed decisions and reduce bias in decision-making. In this work is illustrated the integration of a heuristic project risk-model used to identify project critical success factors into a typical organizational business intelligence architecture. The proposed integration enables organizations to efficiently and in a timely manner identify project collaborative risks by addressing people, environment, and tools, and generate actionable project-related knowledge that helps organizations to efficiently respond business challenges and achieve sustainable competitive advantages.

Suggested Citation

  • Marco Nunes & António Abreu & Jelena Bagnjuk & Célia Saraiva & Helena Viana, 2022. "Integrating a Project Risk Model into a BI Architecture," Lecture Notes in Information Systems and Organization, in: Vikas Kumar & Jiewu Leng & Victoria Akberdina & Evgeny Kuzmin (ed.), Digital Transformation in Industry, pages 423-432, Springer.
    • Handle: RePEc:spr:lnichp:978-3-030-94617-3_29
    DOI: 10.1007/978-3-030-94617-3_29
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