Data quality framework revolutionizes industry understanding of consumer needs.
Poor data quality can have big impacts on society and the economy. While companies are working on improving data quality, they mostly focus on accuracy. However, data consumers care about more than just accuracy. A study was done to figure out what aspects of data quality matter to data consumers. They found that data quality should be good on its own, fit the task at hand, be clearly represented, and easily accessible. This framework helped managers better understand and meet data quality needs. The study collected quality attributes from data consumers, not just based on theory or researchers' experiences. This research can guide future studies on measuring data quality.