提高数据质量。
Case study: An example of data quality service.
案例学习：数据质量服务实例。
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。
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。
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？
What are the four broad categories of data quality checks?
数据质量检查的四大类是什么？
The statistical work has been facing crisis of data quality.
统计工作已面临着数据质量的危机。
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。
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。
The outcome of the data analysis depends heavily on data quality.
数据的质量直接影响数据分析的效率和分析结果的可靠性。
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。
What are the essential deliverables of the data quality portion of ETL?
ETL项目中的数据质量部分核心的交付物有那些？
There are many benefits to both data quality and performance with this approach.
使用此方法对数据质量和性能都有很多好处。
The detailed data quality analysis pattern will be covered in Part 7 of this series.
本系列的第7部分将详细讨论数据质量分析模式。
The survey data and statistics data quality were good and reliability was high.
本次调查数据代表性较好，可信度高。
Can the customer guarantee the data quality of the corrected data fields in the future?
客户是否可以保证将来已纠正数据字段的数据质量呢？
Addressing every potential data quality exposure in the solution is often an overwhelming task.
解决解决方案中的所有数据质量问题往往是很艰巨的任务。
Apply data quality metrics to data from identified data stores to ascertain data quality levels.
将数据质量度量指标应用到来自已识别的数据存储的数据上，以确定数据质量级别。
The proposed solution is to conduct a data quality assessment during service analysis and design.
建议的解决方案是在服务分析和设计期间进行数据质量评估。
Improve data quality and consistency for critical information needs, such as customer name and address.
提高关键信息需求(如客户姓名和地址)的数据质量和一致性。
Improve data quality and consistency for critical information needs, such as customer name and address.
提高关键信息需求(如客户姓名和地址)的数据质量和一致性。
应用推荐