• If a complex form has incorrect data, how does that impact the overall data quality of a project?

    如果一个复杂的表单包含错误的数据,对整个项目的数据质量有什么影响?

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  • Some tests can be implemented as queries and/or by configuring data quality analysis/profiling tools within the available project time frame.

    一些测试可以实现为查询,或者在规定的项目时间框架内通过配置数据质量分析和配置工具来完成。

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  • Define business rules and data quality requirements for each business term and entity that is relevant to the project.

    为与项目相关的每个业务术语和实体定义业务规则和数据质量需求。

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  • Given the potential complexity of each service implementation, a structured approach is needed to understand where data quality analysis should be applied in any SOA project.

    了解了每个服务实现的复杂性之后,就需要采用一种结构化方法了解应该在SOA项目的什么地方应用数据质量分析。

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  • Review data quality related issues raised by business and it users relevant to the project requirements.

    寻找由与项目需求相关的业务用户和IT用户所引发的数据质量问题。

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  • It introduces how to perform a data quality analysis within an SOA project and suggests an approach for finding and investigating those issues.

    介绍如何在SOA项目中执行数据质量分析,并推荐一种寻找和研究这些问题的方法。

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  • The data quality analysis approach for an SOA project is similar to any data quality initiative, but includes some variations in the task details.

    对于SOA项目,数据质量分析方法与其他项目的数据质量分析相似,但是在任务细节方面有一些差异。

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  • The problems therefore are whether the quality of the data to be exposed meets the requirements of the SOA project and how to effectively make that determination.

    因此,问题就是:公开的数据的质量是否满足SOA项目的需求,以及如何有效地做出这一判断?

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  • The process of performing data analysis in this SOA context is similar to most data quality initiatives with the goal of reducing project risk and addressing potential gaps.

    在这个SOA上下文中执行数据分析的过程类似于大多数流行的数据分析项目,其目标是降低项目风险,消除潜在差异。

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  • These high level requirements are then used to formulate the data quality criteria which will be measured and analyzed for the project.

    然后,使用这些需求制定项目评估和分析所用的数据质量标准。

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  • It then listed the basic steps needed to initiate a data quality assessment project within the broader SOA project and analyze these issues such that appropriate implementation choices can be made.

    讨论了在SOA项目中进行数据质量评估并分析这些问题所需的步骤,从而帮助您做出适当的实现决策。

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  • Understanding data quality upfront enables a more accurate sizing of data integration projects thus reducing project risks. The key features are.

    提前了解数据质量有助于更准确地确定数据集成项目的规模,降低项目风险。

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  • The center point for this project-based approach is the actual execution of the data quality analysis.

    这个基于项目的方法的中心点是数据质量分析的实际执行。

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  • For a DW project your technical risks typically focus on data volume, access to the legacy data sources, and data quality.

    对于DW项目,您的技术风险集中于数据量、对遗留数据源的访问和数据质量上。

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  • For the objectivity of the data in testing, it applies the theory of controlled quality in it project management to guarantee it.

    为保证数据采集的客观性,应用项目管理理论中有关质量控制的原理对测试结果进行效验。

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  • All data for completion and acceptance of project shall be complete without loss, especially for pile-made data as quality guarantee of materials, acceptance certificate and test report.

    对于竣工验收必备的所有资料必须准备齐全,不得遗漏,特别是制桩资料,如各类材料的质保书、出厂合格证与检测报告等。

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  • A change in scope MUST be evaluated for its impacts to time, cost, quality, risk, resources, and customer satisfaction. The project manager has enough data about the project to do this analysis.

    范围变更的影响必须被评估,包括时间、成本、质量、风险、资源和客户满意度,项目经理有足够数据做这些分析。

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  • Proactively provide the medical leadership and scientific input to improve the project quality in the function of medical science, phamacovigilance, clinical operation and data management etc.

    在医学/科学事务,临床研究运营,药物警戒和数据管理等多项职能工作中,主动提供医学专业领导力和科学指导,提高临床试验质量。

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  • This project is a set of MIS software built by SiChuan University for electrical station of measure in order to manage the quality data of products.

    本项目是四川大学为电力系统开发的一套应用于电能计量表的质量检测数据管理的MIS软件。

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  • In field seismic data acquisition, the quality of operational parameter acquisition is determined by testing methods, eventually the quality of acquisition project is determined.

    在野外地震资料采集中,试验方法确定采集施工参数的质量,也最终决定采集工程项目的质量。

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  • Some valuable points are summed up in the application of GPS controlling network by assessing and analyzing the quality of the practical data in the long-distance pipeline project.

    通过对具体观测成果的的质量进行评定分析,总结了长输管线工程GPS静态控制网技术设计应该注意的问题及措施。

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  • Combining with project of "Pingxiang City-based geographic Information System", this paper researches the quality control of urban infrastructure geographic data.

    论文结合“萍乡市基础地理信息系统”项目,对城市基础地理数据的质量控制进行研究。

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  • Objective To set up the medical quality information statistics resource database of no. 1 Military medical Project by data warehouse technology.

    前言:目的:利用数据仓库技术构建“军卫一号”工程医疗质量信息统计资源库。

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  • Helsinki also launched their Forum Virium Smart City Project to provide ubiquitous data to their citizens in hopes of improving quality of life.

    赫尔辛基也发起过论坛Virium智能城市计划,为市民随处提供数据,以望提高生活质量。

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  • How to improve the quality and effectiveness of oil production project and how to use the large quantity data that accumulated in production are becoming the priority in actual work now.

    如何提高采油工程方案编制的质量和效率,并有效的运用油田积累的大量数据是当前油田工作的一个重点。

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  • Solutions of data communication project management are summarized in team organization, project control, quality control, progress follow-up as well as cost handling.

    归纳了数据通信项目在项目团队组织、项目整体控制、质量、进度、成本控制方面的一些解决方法。

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  • The result of mining shows that, in the case of the data extremely sparseness, project-based collaborative filtering recommendation method is effective to improve the recommended quality.

    挖掘结果表明,在数据极端稀疏的情况下,基于项目的协同过滤推荐方法明显的提高了推荐质量。

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  • The result of mining shows that, in the case of the data extremely sparseness, project-based collaborative filtering recommendation method is effective to improve the recommended quality.

    挖掘结果表明,在数据极端稀疏的情况下,基于项目的协同过滤推荐方法明显的提高了推荐质量。

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