翻訳と辞書
Words near each other
・ Enterprise carbon accounting
・ Enterprise centres in Ireland
・ Enterprise Challenge Fund
・ Enterprise Champion
・ Enterprise City Schools
・ Enterprise class
・ Enterprise cognitive system
・ Enterprise Collaboration Architecture
・ Enterprise Community Partners
・ Enterprise content integration
・ Enterprise content management
・ Enterprise control
・ Enterprise Cotton Mills Building
・ Enterprise Cultural Heritage
・ Enterprise Cup
Enterprise data management
・ Enterprise Data Modeling
・ Enterprise Data Planning
・ Enterprise Desktop Alliance
・ Enterprise digital assistant
・ Enterprise Distributed Object Computing
・ Enterprise Drive
・ Enterprise Dynamics
・ Enterprise Electronics Corporation
・ Enterprise Elementary School District
・ Enterprise encryption gateway
・ Enterprise engagement
・ Enterprise Engine
・ Enterprise engineering
・ Enterprise Europe Network


Dictionary Lists
翻訳と辞書 辞書検索 [ 開発暫定版 ]
スポンサード リンク

Enterprise data management : ウィキペディア英語版
Enterprise data management

Enterprise Data Management (EDM) is:
#A concept – referring to the ability of an organization to precisely define, easily integrate and effectively retrieve data for both internal applications and external communication.
#A business objective – focused on the creation of accurate, consistent and transparent content. EDM emphasizes data precision, granularity and meaning and is concerned with how the content is integrated into business applications as well as how it is passed along from one business process to another.
EDM arose to address circumstances where users within organizations independently source, model, manage and store data. Uncoordinated approaches by various segments of the organization can result in data conflicts and quality inconsistencies – lowering the trustworthiness of the data as it is used for operations and reporting.
The goal of EDM is trust and confidence in data assets. Its components are:
==Strategy and governance==
EDM requires a strategic approach to choosing the right processes, technologies and resources (i.e. data owners, governance, stewardship, data analysts and data architects). EDM is a challenge for organizations because it requires alignment among multiple stakeholders (including IT, operations, finance, strategy and end-users) and relates to an area (creation and use of common data) that has not traditionally had a clear “owner.”
The governance challenge can be a big obstacle to the implementation of an effective EDM because of the difficulties associated with providing a business case on the benefits of data management. The core of the challenge is due to the fact that data quality has no intrinsic value. It is an enabler of other processes and the true benefits of effective data management are systematic and intertwined with other processes. This makes it hard to quantify all the downstream implications or upstream improvements.
The difficulties associated with quantification of EDM benefits translate into challenges with the positioning of EDM as an organizational priority. Achieving organizational alignment on the importance of data management (as well as managing data as an ongoing area of focus) is the domain of governance. In recent years the establishment of an EDM and the EDM governance practice has become commonplace despite these difficulties.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
ウィキペディアで「Enterprise data management」の詳細全文を読む



スポンサード リンク
翻訳と辞書 : 翻訳のためのインターネットリソース

Copyright(C) kotoba.ne.jp 1997-2016. All Rights Reserved.