Towards Better Data Selection for Self-Service Business Intelligence Outputs: a Local Authorities Case Study

Mathieu Lega

Towards Better Data Selection for Self-Service Business Intelligence Outputs: a Local Authorities Case Study

Résultats de recherche: Contribution dans un livre/un catalogue/un rapport/dans les actes d'une conférence › Article dans les actes d'une conférence/un colloque

115 Téléchargements (Pure)

langue originale	Anglais
titre	Proceedings of the Doctoral Consortium Papers Presented at the 34th International Conference on Advanced Information Systems Engineering (CAiSE 2022), June 06–10, 2022, Leuven, Belgium
Etat de la publication	Publié - 2022

Accès au document

DoctoralConsortiumAccepted author manuscript, 756 KB

MP: Recherche universitaire sur l’exploitation des données des pouvoirs locaux
Burnay, C. (Responsable du Projet), Castiaux, A. (Responsable du Projet), Dodeigne, J. (Responsable du Projet), Linden, I. (Responsable du Projet) & Jacquet, V. (Chercheur)
1/01/21 → 31/12/22
Projet: Recherche

Reducing the Effects of Information Overload on Governments Decision-Making: Empirical Frameworks to Support Data Selection
Lega, M. (Auteur), Burnay, C. (Promoteur), Linden, I. (Copromoteur), Gnabo, J.-Y. (Président), Kolp, M. (Jury), Simonofski, A. (Jury) & CRUSOE, J. (Jury), 24 avr. 2024
Student thesis: Doc types › Docteur en Sciences

Contient cette citation

@inproceedings{ce54a1b58b5b4a73ac5c936f6fb40395,

title = "Towards Better Data Selection for Self-Service Business Intelligence Outputs: a Local Authorities Case Study",

author = "Mathieu Lega",

year = "2022",

language = "English",

booktitle = "Proceedings of the Doctoral Consortium Papers Presented at the 34th International Conference on Advanced Information Systems Engineering (CAiSE 2022), June 06–10, 2022, Leuven, Belgium",

}

Towards Better Data Selection for Self-Service Business Intelligence Outputs: a Local Authorities Case Study. / Lega, Mathieu.
Proceedings of the Doctoral Consortium Papers Presented at the 34th International Conference on Advanced Information Systems Engineering (CAiSE 2022), June 06–10, 2022, Leuven, Belgium. 2022.

Résultats de recherche: Contribution dans un livre/un catalogue/un rapport/dans les actes d'une conférence › Article dans les actes d'une conférence/un colloque

TY - GEN

T1 - Towards Better Data Selection for Self-Service Business Intelligence Outputs

T2 - a Local Authorities Case Study

AU - Lega, Mathieu

PY - 2022

Y1 - 2022

M3 - Conference contribution

BT - Proceedings of the Doctoral Consortium Papers Presented at the 34th International Conference on Advanced Information Systems Engineering (CAiSE 2022), June 06–10, 2022, Leuven, Belgium

ER -

Towards Better Data Selection for Self-Service Business Intelligence Outputs: a Local Authorities Case Study

Accès au document

Projets

MP: Recherche universitaire sur l’exploitation des données des pouvoirs locaux

Thèses de l'étudiant

Reducing the Effects of Information Overload on Governments Decision-Making: Empirical Frameworks to Support Data Selection

Contient cette citation