MDM supports the management of master data throughout its lifecycle.
MDM支持在主数据的整个生命周期中管理主数据。
In particular, expressing conditions using master data is allowed.
尤其是可以使用管理数据表示条件。
Provides the authoritative source for master data within the enterprise.
在企业中提供权威性的主数据源。
Workflows for collaborative authoring of master data can be deployed much easier.
更容易部署协作编写主数据的工作流。
Master data is the enterprise-wide data and facts describing key business entities.
主数据是在整个企业范围内描述关键业务实体的数据和事实。
Reporting on master data is easier - now all master data attributes are in a single place.
更容易生成主数据报告——因为所有主数据属性都放在一个地方。
A detailed introduction of master data management (MDM) is beyond the scope of this article.
详细介绍主数据管理(MDM)超出了本文的范围。
Master data could also be facts and relationships of locations, entities, devices, and equipment.
主数据还可以是关于地点、实体、设备和装置的事实和关系。
The MDM Solution creates an authoritative source of trusted information for master data entities.
MDM解决方案为主数据实体创建一个权威可信的信息源。
An MDM solution is more than maintaining a central repository of master data within the enterprise.
MDM解决方案不仅仅是在企业内维护主数据的中心存储库。
Thus, the master data is neither consistent nor complete regarding all attributes in the MDM System.
因此，MDM系统中主数据的属性既不一致，也不完整。
The collaborative style of MDM supports the definition, creation, and synchronization of master data.
协作性风格的MDM支持定义、创建和同步主数据。
Also, the synchronization between the MDM systems and application systems changing master data is not free.
另外，MDM系统和修改主数据的应用程序系统之间的同步也有成本。
RFIDIC supports the import of product and location master data, and combining them with the event data.
RFIDIC支持导入产品和位置数据，并将它们与事件数据组合起来。
Cost savings by having a single place to enforce business rules and master data integrity rules on master data.
在单一位置对主数据实施业务规则和完整性规则，从而节约成本。
Business system users update and query master data typically through the use of their respective business systems.
通常情况下，业务系统用户通过各自的业务系统更新和查询主数据。
This dramatically reduces processing costs and creates economies of scale to administer your master data effectively.
这可以显著降低处理成本，提高管理主数据的经济有效性。
Furthermore, there also needs to be master data best practices (such as to address master data categorization needs).
另外，还需要主数据最佳实践(比如用来满足主数据分类需求的最佳实践)。
These security policies are defined using the master data in the system. The policies require no customer development.
使用系统中的元数据定义这些安全策略，客户不需要开发它们。
The distribution of master data to other systems must fulfil a myriad of different business and technical requirements.
要想把主数据分发给其他系统，就必须满足许多不同的业务和技术需求。
Master data management is extremely important to solutions as you introduce new visibility into your operational systems.
随着您将新的可见性引入到操作型系统中，主数据管理对于解决方案而言极其重要。
Some or all of the applications dealing with master data have a local database storing this information and maybe non-master data.
处理主数据的部分或所有应用程序用本地数据库存储这些信息，并可能同时存储非主数据。
Additionally, the creation of input test data is accelerated through automatic importing of master data from the system under test.
此外，输入测试数据的创建是通过对来自在测系统的主数据的自动导入来加速的。
Improving master data quality and managing it more efficiently to optimize business processes is known as master data Management (MDM).
改进主数据质量并更高效地管理主数据，从而优化业务过程，这就是Master DataManagement (MDM)。
Registry style: This style provides a read-only view to master data for downstream systems which need to read but not modify master data.
注册风格：这种风格为只需要读主数据而不需要修改的下游系统提供主数据的只读视图。
Understand: Understanding and analyzing the data, including discover, model, and govern information quality and structure of master data.
理解：理解和分析数据，包括发现主数据、主数据建模以及治理信息质量和结构。
Technologies for data integration and master data management factor in an implementation strategy for the information-management solution.
信息管理解决方案的实现策略中的数据集成技术和主数据管理因素。
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。
The product would be used during the master data integration phase, harmonizing and cleaning master data prior to being loaded into the MDM system.
在主数据集成阶段，在把主数据装载到MDM系统中之前，使用这个产品协调和清理主数据。
These entities are known as master data and many companies suffer today from low-quality master data scattered across the enterprise in various application silos.
这些实体称为主数据。在当今的许多公司中，质量很差的主数据分散在不同的应用领域中，这给公司带来很多麻烦。
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