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Executing Data Quality Projects

  • E-Book (pdf)
  • 352 Seiten
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Information is currency. Recent studies show that data quality problems are costing businesses billions of dollars each year, with... Weiterlesen
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Beschreibung

Information is currency. 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 this important and timely new book, Danette McGilvray presents her 'Ten Steps” approach to information quality, a proven method for both understanding and creating information quality in the enterprise. Her trademarked approach-in which she has trained Fortune 500 clients and hundreds of workshop attendees-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 available online.

Danette McGilvray is president and principle of Granite Falls Consulting, Inc., a firm specializing in information and data quality management to support key business processes around customer satisfaction, decision support, supply chain management, and operational excellence.

Produktinformationen

Titel: Executing Data Quality Projects
Untertitel: Ten Steps to Quality Data and Trusted Information (TM)
Autor:
EAN: 9780080558394
Digitaler Kopierschutz: Adobe-DRM
Format: E-Book (pdf)
Hersteller: Elsevier Science
Genre: Anwendungs-Software
Anzahl Seiten: 352
Veröffentlichung: 01.09.2008
Dateigrösse: 3.0 MB
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