Barriers to master data quality 289

@inproceedings{Haug2011BarriersTM,
  title={Barriers to master data quality 289},
  author={Anders Haug and Jan Stentoft Arlbj\orn},
  year={2011}
}
Purpose – While few would disagree that high data quality is a precondition for the efficiency of a company, this remains an area to which many companies do not give adequate attention. Thus, this paper aims to identify which are the most important barriers preventing companies from achieving high data quality. By improving awareness of barriers on which to concentrate, companies are put in a better position to achieve high quality data. Design/methodology/approach – First, a literature review… CONTINUE READING