The beginnings of data governance at BCBST.
BCBST数据治理的开始。
Communicate the data governance policy effectively.
有效地传播数据治理策略。
Hence data governance becomes a very critical process for business success.
因此数据治理成了业务成功的关键流程。
Data governance significantly reduces the cost of data management activities.
数据治理极大地降低了数据管理活动的费用。
I'll admit that I'm starting to see some value in this data governance stuff.
我承认，我开始看出数据治理的一些价值了。
Steve Adler makes a good case in arguing the business value of data governance.
SteveAdler在关于数据治理的业务价值的争论中说服了我。
"Data governance is integral to better healthcare delivery and reducing costs," says Brooks.
“想要更好地进行医疗保健交付并减少成本，数据治理是必不可少的，”Brooks 说。
Provide data governance capabilities to enforce and audit both transaction and data access security.
提供数据治理功能，实现并审计事务和数据访问安全。
Decisions regarding how rules are enforced and by which services are a key aspect of data governance.
关于如何实施规则以及由哪些服务实施规则的决定是数据治理的关键方面。
The benefit of data governance in comparison to traditional approaches is better data at a lower cost.
数据治理和传统的方法相比而言，其好处就是以较低的成本获得更好的数据。
The staged data governance gives organizations greater control over the flow and life cycle of information.
分段数据管理使组织能够更好的控制信息流和信息的生命周期。
Data governance, says Adler, is largely about systematically identifying and addressing error entry points.
Adler指出，数据治理的意图主要是系统化地找到并解决可能引入错误的点。
Data governance has many facets: availability, security, privacy, quality, audit, and retention to name a few.
数据治理有多个方面：可用性、安全、隐私性、质量、审计和保留等。
The concepts behind data governance are changing business operations for organizations in healthcare and beyond.
数据治理背后的概念正在改变医疗保健及其他行业公司的业务运作。
Issues related to data governance can be some of the most complex and important issues that a project has to address.
与数据治理相关的问题可能是一个项目必须解决的最复杂也是最重要的问题。
In the first of the five part series on Data Governance, the focus is on defining scope and establishing a baseline.
在这个5部分组成的数据治理系列中，开始部分关注定义范围，建立基线。
And as it turns out, the rise of data governance is also changing the roles and responsibilities of DBAs in important ways.
而事实也证明，数据治理的出现在许多重要方面改变了DBA的角色和职责。
IBM has a portfolio of robust data governance offerings that span the facets mentioned above. Key portfolio goals here are.
IBM有健壮的数据治理产品组合，它们涵盖了上述的所有方面。
In my next blog, I'll write about a framework for data governance based on data policies and a set of processes around the policies.
在我的下一篇博客中，我会撰写一个有关数据治理的框架，该框架是基于着数据策略以及围绕该策略的一套流程。
In five blog entries spanning five days, the Data Governance blog provides a quick start guide for developing a Data Maturity Model.
在横跨5天的5篇博文中，数据治理博客提供了一个开发数据成熟度模型的快速入门指南。
Being able to understand how and which hub domains are defined within an organization can support the overall data governance process.
能够理解组织内hu b域是如何定义的以及定义的是哪些hu b域有助于数据的总体数据监管过程。
First things first, get the following out: your data governance maturity model template (filled in) and the in-scope data for your program.
先从最重要的事情开始，完成下列内容：填写你的数据治理成熟度模型模板，找出你的程序中的范围内数据。
Information governance is the correct term for the activities involved - not "data governance." it is not about making decisions about data.
对于所涉及的活动来说信息治理是正确的——它不是“数据治理”，不是关于数据的决策。
Establishes the ability to generate operations to implement master data governance policies to manage and control the quality of master data.
能够生成实现主数据治理策略的操作，帮助管理和控制主数据的质量。
MDM Event Management Services are called to detect any actions that should be triggered based upon business rules or data governance policies.
通过调用MDMEventManagementServices，探测任何根据业务规则或数据治理策略应该触发的操作。
To provide a useful vehicle for Data Governance regarding responsibilities for information creation, update, deletion, distribution and use.
为数据治理在信息的创建、更新、删除、分发和使用上提供一个有用的工具。
The book describes the relationship between MDM and Service Oriented Architectures and the importance of data governance for managing master data.
它描述MDM和面向服务体系结构之间的关系，以及数据治理对于管理主数据的重要性。
Adopt a Lean Data Governance Strategy: Use business-driven project pipelines, Implement flexible architectures and Set risk-based milestones.
采用精益数据监管策略(Lean Data Governance Strategy)：采用业务驱动项目管道，执行灵活的架构，设立基于风险的里程碑。
In the data world, the traditional approach to data management is largely about periodic cleaning. A better, policy-centric approach is data governance.
在数据世界里，数据管理的惯用方法基本上是定期清理。而一个更好的，以策略为中心的方法就是数据治理。
Data governance issues can have a significant impact on it strategy since key initiatives can succeed or fail based on data availability and data quality.
数据治理问题对于IT战略有重大的影响，因为关键项目的成败取决于数据可用性和数据质量。
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