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Data quality is of paramount importance in any Business Intelligence (BI) project. In fact, the Decision Support System can be the reference decision unless the data is consistent, updated, completed and fit for use for the decision makers and the decision tasks. Otherwise, the non-quality data may lead policy makers to make bad decisions, to miss opportunities or even commit very serious business mistakes. Considering this issue, we propose to study in this paper the factors that influence the quality of intelligence data, or rather the factors moderating the influence of the quality of source data since this last one is inevitable. We conduct an exploratory research in order to gather information from the literature review that helps us to suggest hypothesis of our research model "Factors Influencing Data Quality in a Data Warehouse". The objective of identifying the critical ones throw a confirmatory research (that we don't expose in this paper) will be to enable stakeholders to better use their scare resources while implementing a BI project by focusing on these key areas that are most likely to have a greater impact.
Zellal et al. (Sun,) studied this question.