Master Thesis Online
Mémoire-projet
Fleissig, Jordan 
Promoteur(s) :
Aerts, Stéphanie
Date de soutenance : 21-jui-2022 • URL permanente : http://hdl.handle.net/2268.2/14117
Memoire_JordanFleissig_s120412.pdfDétails
| Titre : | Mémoire-projet |
| Titre traduit : | [fr] Réussir l'implémentation de la Business Intelligence dans le secteur pharmaceutique : étude de cas d'un projet échoué |
| Auteur : | Fleissig, Jordan
|
| Date de soutenance : | 21-jui-2022 |
| Promoteur(s) : | Aerts, Stéphanie
|
| Membre(s) du jury : | Delahaut, Alain
Humblet, Dominique |
| Langue : | Anglais |
| Mots-clés : | [en] Business Intelligence |
| Discipline(s) : | Sciences économiques & de gestion > Gestion des systèmes d'information |
| Public cible : | Chercheurs Professionnels du domaine |
| Institution(s) : | Université de Liège, Liège, Belgique |
| Diplôme : | Master en sales management, à finalité spécialisée |
| Faculté : | Mémoires de la HEC-Ecole de gestion de l'Université de Liège |
Résumé
[en] Implementing business intelligence (BI) is a complex process that few companies achieve successfully. The pharmaceutical sector, with its legal and business specificities, is a unique environment that is not well explored by the scientific literature on BI. This master's thesis addresses how to successfully implement BI in the pharmaceutical sector. It approaches this topic through the lens of the critical success factors (CSFs) that drive success and the methods for evaluating success.
To answer this question, a case study of a failed BI implementation project in a pharmaceutical company is used to dive into the topic. In addition, five semi-structured interviews were conducted with BI experts specialized in the pharmaceutical sector.
The results showed that there are specific CSFs for BI implementation in the pharmaceutical sector. In addition, this research found that the methods of assessing success depended on the integration of BI into the core processes of the pharmaceutical company. From a practical point of view, the findings of this master's thesis can be used as guidelines to successfully implement BI in a pharmaceutical company.
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