Data quality tags provide information about the quality of data in databases to decision makers. This paper reports an experiment that examines the impact of data quality tagging about data accuracy on decision outcomes. Two decision strategies were explored: additive and elimination by attributes. The inclusion of data quality tagging information was found to impact decision outcomes for the elimination by attributes strategy but not for the additive strategy and had no impact on group consensus. This knowledge will be valuable for designers of data warehouses and decision support systems.