Poor data quality can cause misinformed decisions, ineffective operations, missed opportunities, and on occasion punishment by the organization or marketplace.
低质量的数据会导致误传的决策、无效的操作和错失机遇，并且有时还会受到来自组织或市场的惩罚。
The organization shall continually improve the effectiveness of the quality management system through the use of analysis of data, corrective and preventive actions and management review.
组织应利用数据分析、纠正和预防措施、以及管理评审、持续改进质量管理体系的有效性。
Collection and quality control problems usually abound whenever it becomes necessary to obtain pertinent data in an organization.
收集和质量控制问题通常富于，每当它变成必需的获得一个组织的相关数据。
Describe HOW your organization ensures the quality and availability of needed data, information, software, and hardware for your WORKFORCE, suppliers, PARTNERS, COLLABORATORS, and CUSTOMERS.
说明组织如何确保员工、供应商、合作伙伴、协作者及顾客所需的数据、信息和软硬件的质量与可用性。
This paper analyzes the organization structure for numerical forecasting data of the city air quality in space and in time, and constructs an overall frame for the multi-dimensional space data.
通过分析某城市空气质量数值预报数据的时空组织结构，构建出了多维空间数据的整体框架。
This paper analyzes the organization structure for numerical forecasting data of the city air quality in space and in time, and constructs an overall frame for the multi-dimensional space data.
通过分析某城市空气质量数值预报数据的时空组织结构，构建出了多维空间数据的整体框架。
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