Kubler, Sylvain[University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Buda, Andrea[Aalto University > School of Sciences > > MS]
Främling, Kary[Aalto University > School of Sciences > > Professor]
Jul-2015
Proceedings of 4th International Conference on Data Management Technologies and Applications
SciTePress
162-172
Yes
International
9789897581038
Colmar
France
Proceedings of 4th International Conference on Data Management Technologies and Applications
from 20-07-2015 to 22-07-2015
Colmar
France
[en] Data Quality ; Multi-criteria Decision Making ; Decision Support Systems ; Analytic Hierarchy Process
[en] Businesses are increasingly using their enterprise data for strategic decision-making activities. In fact, information, derived from data, has become one of the most important tools for businesses to gain competitive edge. Data quality assessment has become a hot topic in numerous sectors and considerable research has been carried out in this respect, although most of the existing frameworks often need to be adapted with respect to the use case needs and features. Within this context, this paper develops a methodology for assessing the quality of enterprises’ daily maintenance reporting, relying both on an existing data quality framework and on a Multi-Criteria Decision Making (MCDM) technique. Our methodology is applied in cooperation with a Finnish multinational company in order to evaluate and rank different company sites/office branches (carrying out maintenance activities) according to the quality of their data reporting. Based on this evaluation, the industrial partner wants to establish new action plans for enhanced reporting practices.
Interdisciplinary Centre for Security, Reliability and Trust
[Aalto University > School of Sciences > > MS]
