Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information
暫譯: 執行數據品質專案:十個步驟達成高品質數據與可信資訊
Danette McGilvray
- 出版商: Morgan Kaufmann
- 出版日期: 2008-07-01
- 定價: $1,980
- 售價: 5.0 折 $990
- 語言: 英文
- 頁數: 352
- 裝訂: Paperback
- ISBN: 0123743699
- ISBN-13: 9780123743695
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相關分類:
Data Science、資料庫
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其他版本:
Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information (TM) 2nd Edition
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相關主題
商品描述
In today's world of instant global communication and rapidly changing trends, up-to-date and reliable information is essential to effective competition. Recent studies show that data quality problems are costing businesses billions of dollars each year, with poor data linked to waste and inefficiency, damaged credibility among customers and suppliers, and an organizational inability to make sound decisions.
In Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information, Danette McGilvray presents a systematic, proven approach to improving and creating data and information quality within the enterprise. She describes a methodology that combines a conceptual framework for understanding information quality with the tools, techniques, and instructions for improving and creating information quality. Her trademarked "Ten Steps" approach applies to all types of data and to all types of organizations.Data quality problems cost businesses billions of dollars each year in unnecessary printing, postage, and staffing costs, in the steady erosion of an organization's credibility among customers and suppliers, and the inability to make sound decisions.
Danette McGilvray presents a systematic, proven approach to improving data quality by combining a conceptual framework for understanding information quality with techniques and instructions for improving it. The Ten Step approach applies to all types of data and to all types of organizations.
* Includes numerous templates, detailed examples, and practical advice for executing every step of The Ten Steps approach.
* Allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, and best practices.
* A companion Web site includes links to numerous data quality resources, including many of the planning and information-gathering templates featured in the text, quick summaries of key ideas from The Ten Step methodology, and other tools and information that is available online.
商品描述(中文翻譯)
在當今即時全球通訊和快速變化的趨勢中,最新且可靠的信息對於有效競爭至關重要。最近的研究顯示,數據質量問題每年使企業損失數十億美元,劣質數據與浪費和低效率、客戶和供應商之間的信譽受損,以及組織無法做出明智決策有關。
在《執行數據質量專案:通往高品質數據和可信信息的十個步驟》中,Danette McGilvray 提出了一種系統化、經過驗證的方法來改善和創建企業內的數據和信息質量。她描述了一種方法論,結合了理解信息質量的概念框架以及改善和創建信息質量的工具、技術和指導。她的商標「十個步驟」方法適用於所有類型的數據和所有類型的組織。數據質量問題每年使企業在不必要的印刷、郵寄和人力成本上損失數十億美元,並持續侵蝕組織在客戶和供應商中的信譽,導致無法做出明智的決策。
Danette McGilvray 提出了一種系統化、經過驗證的方法來改善數據質量,通過結合理解信息質量的概念框架與改善技術和指導。這種十步驟方法適用於所有類型的數據和所有類型的組織。
* 包含大量模板、詳細示例和實用建議,以執行「十個步驟」方法的每一步。
* 以易於使用的格式快速參考,突顯關鍵概念和定義、重要檢查點、溝通活動和最佳實踐。
* 附屬網站包含眾多數據質量資源的鏈接,包括文本中介紹的許多規劃和信息收集模板、十步驟方法的關鍵思想快速摘要,以及其他可在線獲得的工具和信息。