• Aucun résultat trouvé

Multidimensional Management and Analysis of Quality Measures for CRM Applications at EDF

N/A
N/A
Protected

Academic year: 2021

Partager "Multidimensional Management and Analysis of Quality Measures for CRM Applications at EDF"

Copied!
14
0
0

Texte intégral

Loading

Figure

Figure 1 - CRM IS without centralization of data quality
Figure 2 - Quality assessment meta-model
Figure 3 - Multidimensional model
Figure 4 - Business Intelligence Chain for Data Quality (DQ BIC )
+2

Références

Documents relatifs

Here is a tentative table that aims at matching the expected levels of qualification according to four standards: language proficiency, academic and didactic knowledge, research

Lefournier V, Martinie M, Vasdev A, Bessou P, Passagia JG, Labat-Moleur F, Sturm N, Bosson JL, Bachelot I, Chabre O (2003) Accuracy of bilateral inferior petrosal or cavernous

– Online monitoring with integrated data quality controls – Offline monitoring using reference histograms.. – Event quality check online / offline ⇒ event

In the 6th wave of the EWCS Eurofound [ 33 ] defined job quality as composition of seven dimensions, representing largely the most important job aspects for well-being of the

Figure 2.3: Morphological operators : opening (left) and closing (right) The idea was to adapt these operators (opening and closing) into 3D and use them in order to detect

A meta-data based Data Quality system for managing Data Quality in data warehouses was proposed in [8], the authors started the paper by mentioning the important of total

Keywords: Data-intensive Applications, Distributed Systems, Formal Verifica- tion, Metric Temporal Logic, Apache Storm..

Then, by taking the digital manufacturing as research object, the different information roles, information manufacturing processes, influential factors of information quality,