The access to information in today’s decisionenvironments
is not restricted by business-unit or
organizational boundaries. Decision-making in these
environments involves large data volumes and
includes a wide variety of decision-tasks. Decisionmakers
are forced to become more responsive as they
have access to data anywhere and at anytime. In such
environments it is important to assure decision-makers
of the quality of data they use and allow them to
gauge quality. Traditional methods for evaluating data
quality dimensions do so objectively—without considering
contextual factors such as the decision-task
and the decision-maker’s preferences. However, a
classic definition of quality is fitness for use, or the
extent to which a product successfully serves the
purposes of customers [