ISO/TS 8000-60 holds that data quality management works well and economically when it is steered by the value it brings to the organization. That approach has four parts: understand, across the organization, what data quality is worth and what risks attach to it; measure and assess the present data quality management processes against the business processes they serve; pick out and act on the improvements likely to add most to the organization's value; and, once changes are made, keep repeating the measure, assess and improve cycle. 4.2 explains why the data quality management parts look at processes rather than at the data themselves: fixing each nonconformity when it is found does not stop it coming back, whereas processes that are in place let the organization keep improving and adjust its quality criteria as circumstances change, and how far it can do so is its maturity, which fixes how well it can keep data at the right quality. The parts that serve this purpose are ISO 8000-61 (process reference model), ISO 8000-63 (measurement procedure and stack) and ISO 8000-62 and 8000-64 (organizational maturity models).
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