提高数据质量。
Examples of data quality problems are.
数据质量问题的例子如下。
Data quality analysis for an SOA project.
SOA项目的数据质量分析。
Case study: An example of data quality service.
案例学习：数据质量服务实例。
Can they state a dollar cost for a data quality?
这些标准描述了数据质量的成本了吗？
Design the data quality analysis execution plan.
设计数据质量分析执行计划。
An SOA project approach to data quality analysis.
为SOA项目执行数据质量分析的方法。
When it comes to SAs, data quality is a key issue.
就SA 而言，数据质量是个重要问题。
Data quality analysis provides this understanding.
数据质量分析就能提供这样的理解。
This article discusses causes of poor data quality.
本文讨论造成数据质量差的原因。
Table 2: Technical data quality dimensions - domains.
表2：技术数据质量维-域。
Table 3: Technical data quality dimensions - entities.
表3：技术数据质量维-实体。
Data quality in SOA can be considered in two dimensions.
SOA中的数据质量可以分为两个维。
We use data quality tools to profile and cleanse bad data.
我们使用数据质量工具来配置和清洗错误数据。
This method has the ability for detecting data quality.
本法具有检查数据质量的能力。
Bubble pulses or bubble noise that affect data quality.
影响数据质量的气泡脉冲或气泡噪音。
Savings from better data quality (lower cost to fix bad data)
数据质量提高带来的节约（降低了修改错误数据的成本）
How can data quality be quantified in the data warehouse?
如何来量化数据仓库中的数据质量？
Does the business data quality meet the business 'requirements?
业务数据质量是否满足了业务需求？
Data quality analysis could have helped to avoid these problems.
数据质量分析可以帮助避免这些问题。
Conducting the data quality analysis within the project framework.
在项目框架内进行数据质量分析。
Measure and report data quality throughout the project life cycle.
在项目整个生命周期内进行评测并报告数据质量。
As an example, a receiver's GPS data quality is been checked.
作为例子，对一gps数据进行质量检查。
A measurable business result of CCMS is the data quality improvements.
CCMS的一个可测定的业务结果是数据质量的改进。
Table 4: Business Process Data Quality Dimensions – Integrated sources
表4:业务流程数据质量维 –集成的源
Data quality is one of the important issues in identifying data sources.
数据质量是识别数据源中的重要问题之一。
Data architect benefits: better data quality and enterprise consistency.
数据架构师好处：更好的数据质量和企业一致性。
Does not rigorously enforce data quality in its store (s) of information?
没有对它存储的信息执行严格的数据质量措施。
Does not rigorously enforce data quality in its store (s) of information?
没有对它存储的信息执行严格的数据质量措施。
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