Assessing and Improving Data Quality

Organizations with the best data invest their data quality efforts toward preventing errors at their sources. This chapter examines the cases of Tele-Tech Services, Interactive Data, and Morningstar, outlining ten data quality habits that organizations should adopt, and providing tools and role models that will enable managers to baseline their organization's current data quality efforts.