Mémoire-projet

Abstract

In increasingly complex and uncertain industrial environments, organizations must be able to anticipate changes in their markets, technologies, and competitive landscapes in order to support effective strategic decision-making. In this context, strategic intelligence has become an important managerial practice for reducing uncertainty and improving the quality of strategic decisions. However, many organizations still face challenges in structuring, mobilizing, and integrating strategic intelligence into their decision-making processes. This master's thesis examines how international industrial companies can structure and leverage a strategic intelligence system to support and guide their strategic decisions. The research adopts a qualitative, exploratory, and inductive approach. Data were collected through semi-structured interviews conducted with professionals involved in strategic intelligence, market analysis, and strategic decision-making within international industrial organizations. These findings were complemented by observations and practical insights gathered during the deployment of a strategic intelligence system at Safran Test Cells, a company operating in the aerospace test facility industry. The results highlight that the value of strategic intelligence does not primarily depend on the quantity of information collected, but rather on the organization's ability to analyze, interpret, share, and transform information into actionable knowledge. The study shows that effective strategic intelligence systems rely on a combination of formal processes, appropriate technological tools, management support, and strong human collaboration. Information sharing, collective interpretation, and the integration of field-based knowledge emerged as key factors influencing the usefulness of intelligence activities for decision-making. The findings also suggest that highly formalized intelligence systems are not always the most effective. Instead, organizations benefit from flexible and adaptive approaches that balance structure with responsiveness to changing environments. Finally, the study proposes several managerial recommendations to improve the implementation and use of strategic intelligence systems in international industrial companies seeking to strengthen their capacity for anticipation, adaptation, and strategic decision-making.