How to Build Data-Driven Strategy Maps? A Methodological Framework Proposition

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The Strategy Map is a strategic tool that enables companies to formulate, control and communicate their strategy and positively influence their performance. Introduced in 2000, the methodology for developing Strategy Maps has evolved over the past two decades, but still relies exclusively on human input. In practice, Strategy Map causalities - the core elements of this tool - are determined by managers' opinions and judgments, which can lead to a lack of accuracy, completeness and longitudinal perspective. Although authors in the literature have pointed out these problems in the past, there are few recommendations on how to address them. In this paper, we propose a methodological framework which uses operational data and data mining techniques to systematize the detection of causalities in Strategy Maps. We apply time series techniques and Granger causality tests to increase the efficiency of such strategic tool. We demonstrate the feasibility and relevance of this methodology using data from skeyes, the Belgian air traffic control company.
Original languageEnglish
Article number102019
JournalData and Knowledge Engineering
Publication statusPublished - May 2022


  • Causalities
  • Data mining
  • Methodologies and tools
  • Performance measurement models
  • Strategic decision-making
  • Strategy Map


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  • Data-Driven Causalities for Strategy Maps

    Pirnay, L. & Burnay, C., 8 May 2021, Research Challenges in Information Science - 15th International Conference, RCIS 2021, Proceedings. Cherfi, S., Perini, A. & Nurcan, S. (eds.). LNCS - Springer-Verlag, p. 409-417 9 p. (Lecture Notes in Business Information Processing; vol. 415 LNBIP).

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