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Data Quality Tools, Methods Leads To New Capabilities In Enterprise Data Management

机译:数据质量工具,方法带来企业数据管理的新功能

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Data quality is an important first step to a well master data management (MDM) strategy, and good data quality has become both the driller's and the data manager's most valuable asset. Since well data can pass through at least 50 hands during their asset lifecycle and across a number of applications, businesses are increasingly aware of the high risk of misplacing and misrepresenting asset information at any stage of a project. For example, one major operator estimates that more than 50 percent of its well data have been lost or misplaced within databases and project files. Well master data management is an evolving approach to exploration, drilling and production enterprise data management. It is not a repository of well information only used by part of an organization. Although often referred to as a well master list, a well database for geology and geophysics is not what we are referring to. MDM is not a data "mart" or a data "warehouse" of well information, nor is it an enterprise-wide, single-source repository. In other words, just because the user has a list of wells, it does not mean he has master data management.
机译:数据质量是制定良好的主数据管理(MDM)策略的重要的第一步,而良好的数据质量已成为司钻和数据经理的最宝贵资产。由于油井数据在其资产生命周期中和至少在许多应用程序中都可以传递至少50手数据,因此企业越来越意识到在项目的任何阶段错放和歪曲资产信息的高风险。例如,一位主要的运营商估计其超过50%的井数据在数据库和项目文件中丢失或放错了位置。井主数据管理是勘探,钻探和生产企业数据管理的一种不断发展的方法。它不是仅由组织的一部分使用的井信息的存储库。尽管通常被称为“井主清单”,但我们所指的不是用于地质和地球物理的井数据库。 MDM不是井信息的数据“集市”或数据“仓库”,也不是企业范围内的单源存储库。换句话说,仅因为用户具有井列表,并不意味着他具有主数据管理。

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