The Practitioner's Guide to Data Quality Improvement (Paperback)

David Loshin

  • 出版商: Morgan Kaufmann
  • 出版日期: 2010-10-15
  • 定價: $2,260
  • 售價: 8.5$1,921
  • 語言: 英文
  • 頁數: 432
  • 裝訂: Paperback
  • ISBN: 0123737176
  • ISBN-13: 9780123737175
  • 相關分類: Data Science
  • 立即出貨 (庫存 < 4)

商品描述

Business problems are directly related to missed data quality expectations. Flawed information production processes introduce risks preventing the successful achievement of critical business objectives. However, these flaws are mitigated through data quality management and control: controlling the quality of the information production process from beginning to end to ensure that any imperfections are identified early, prioritized, and remediated before material impacts can be incurred. The Practitioner's Guide to Data Quality Improvement shares the fundamentals for understanding the impacts of poor data quality, and guides practitioners and managers alike in socializing, gaining sponsorship for, planning, and establishing a data quality program. This book shares templates and processes for business impact analysis, defining data quality metrics, inspection and monitoring, remediation, and using data quality tools. Never shying away from the difficult topics or subjects, this is the seminal book that offers advice on how to actually get the job done.




  • Offers a comprehensive look at data quality for business and IT, encompassing people, process, and technology.

  • Shows how to institute and run a data quality program, from first thoughts and justifications to maintenance and ongoing metrics.

  • Includes an in-depth look at the use of data quality tools, including business case templates, and tools for analysis, reporting, and strategic planning.

商品描述(中文翻譯)

商業問題與未達到資料品質期望直接相關。有缺陷的資訊生產流程會引入風險,阻礙關鍵業務目標的成功實現。然而,透過資料品質管理和控制,可以減輕這些缺陷:從頭到尾控制資訊生產流程的品質,以確保任何缺陷在產生重大影響之前被及早識別、優先處理和修復。《資料品質改善實務指南》分享了理解低資料品質影響的基礎知識,並指導實踐者和管理者在社交、獲得贊助、規劃和建立資料品質計劃方面。本書提供了業務影響分析、定義資料品質指標、檢查和監控、修復以及使用資料品質工具的範本和流程。本書勇於面對困難的主題和議題,是一本實際指導如何完成工作的重要著作。

本書提供了全面的商業和資訊科技資料品質觀點,包括人員、流程和技術。展示了如何建立和運行資料品質計劃,從最初的想法和理由到維護和持續評估指標。詳細介紹了資料品質工具的使用,包括商業案例範本,以及分析、報告和戰略規劃工具。