Data Warehouse Quality Assessment Using Contexts

Data Warehousing Systems (DWS) are of great relevance for supporting decision making and data analysis. This has been proven over time, through the generalization of its development and use in all kind of organizations. Many researchers have presented the need to incorporate and maintain Data Quality (DQ) in DWS. However, there is no consensus in the research community on how or whether it is possible to define a set of quality dimensions for DWS, since such set may depend on the purpose for which the data are used. Moreover, quality requirements may vary among different domains and among different users. The contribution of this paper is twofold: a study of existing proposals that relate DQ with DWS and with contexts, and a proposal of a framework for assessing DQ in DWS. This proposal is the starting point of a broader and deeper investigation that will allow quality management in DWS.