而质量成熟度模型则为用户从数据生产、管理的角度提供了数据质量保证和评估方向。
Data quality management Maturity Model help users to improve data quality from the production and management flow.
然而，数据网格通过提供调度、资源管理、存储保留、服务质量保证、监视和其他功能，从而优于Web服务。
However, a data grid goes beyond the Web service model by providing scheduling, resource management, storage reservations, quality-of-service assurance, monitoring, and other capabilities.
投入到数据管理的精力和资源应与对应产品质量风险相称，同时也应权衡其他质量保证工作的资源需求，从而进行合理分配。
The effort and resource assigned to data governance should be commensurate with the risk to product quality, and should also be balanced with other quality assurance resource demands.
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