A recurrent theme in data quality is the idea of "dimensions," such as accuracy, consistency and timeliness. The fact that these dimensions actually exist is rarely, if ever, questioned. Indeed, the benefits of the dimensions are regularly discussed, and are commonly thought to include:
- Allowing the complex area of data quality to be subdivided into areas, each of which has its own particular way of being measured;
- Being able to correlate dimensions with specific impacts on business areas;
- Having specific remediation approaches, rather than a one-size-fits-all methodology.
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