Dynamic Data Mart for Business Intelligence - IMT Mines Albi-Carmaux Accéder directement au contenu
Communication Dans Un Congrès Année : 2015

Dynamic Data Mart for Business Intelligence

E. Chang
  • Fonction : Auteur
  • PersonId : 990920
W. Rahayu
  • Fonction : Auteur
  • PersonId : 990921

Résumé

Companies today have several major issues while managing information. Many subsidiaries and departments have developed their own Data Management which has led to a multitude of Operational Databases and sometimes a multitude of Data Marts, policies and processes. Thus, these systems lack sustainability because they are not dynamic and not self-organizing, and so they do not adapt to the continuous needs arising from evolution that the companies experience. The Dynamic Data Mart architecture is built around 6 main functions, namely the 3Ms (Data Mining, Data Marshalling and Data Meshing) and the 3Rs (Recommendation, Reconciliation and Representation), which will address the aforementioned problems. Once the totality of the data have been loaded into a single Data Warehouse, the Dynamics Data Marts address these problems by mining the user’s behavior and the user’s decision making processes and continuously and automatically adapting the Data Mart to the needs of the users. Dynamic Data Marts create adapted dimensions, facts, data associations and views and then automatically find the ones that are not used anymore. These latter are then automatically dropped by the system, or can be presented to the IT manager if needed for validation of their removal.
Fichier principal
Vignette du fichier
371690_1_En_5_Chapter.pdf (806.65 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01383946 , version 1 (19-10-2016)

Licence

Paternité

Identifiants

Citer

E. Chang, W. Rahayu, M. Diallo, M. Machizaud. Dynamic Data Mart for Business Intelligence. 4th IFIP International Conference on Artificial Intelligence in Theory and Practice (AI 2015), Oct 2015, Daejeon, South Korea. pp.50-63, ⟨10.1007/978-3-319-25261-2_5⟩. ⟨hal-01383946⟩
196 Consultations
347 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More