5 - Dimensions of data quality

Abstract

This chapter describes the various dimensions of data quality that correspond to data models, data values, data domains, data presentation, and data policy. The notion of data quality dimensions provides a starting point to a set of variables that can start measuring, probing, and attempting to improve data quality. Different dimensions of data quality take on different levels of importance to different organizations. For some companies, just ensuring that data values are correct may be the most important issue, while other companies care more about the way their information is presented. The critical point is that before improving the quality of data, these dimensions should be considered. It is at this point that expectations are defined, and then measures are chosen in order to meet those expectations. Only then can the data quality can be improved overall. Collecting information and trying to make use of that information is an ever evolving process.