How should I best use global data quality services?
Our experience is that the best approach to assessing and improving global data quality is to work collaboratively with subject-matter experts, whether you utilize in-house expertise or outsource to suppliers. Treating data quality improvement as a mechanical, transactional process can lead to many wasted hours and dollars. The best way to ensure effective, long-term, world-class data quality is to recognize the importance of business processes and their impact on data quality initiatives. For example, trying to resolve data quality problems once the data has already been corrupted can be a pointless exercise. By identifying and evaluating the sources of data quality problems and the various technology and business processes that impact data, businesses can develop end-to-end processes that ensure good data management practices throughout the organization. Viewing data quality improvement merely as a “file cleanup” activity can lead to disappointing results. Partnering with experts and
