Measuring Data Quality for Ongoing Improvement: A Data Quality Assessment Framework download free [PDF and Ebook] by Laura Sebastian Coleman

Measuring Data Quality for Ongoing Improvement: A Data Quality Assessment Framework download free [PDF and Ebook] by Laura Sebastian Coleman year 2013
  • Book name: Measuring Data Quality for Ongoing Improvement: A Data Quality Assessment Framework
  • Author: Laura Sebastian Coleman
  • Release date: 2013/2/24
  • Publisher: ELSEVIER SCIENCE & TECHNOLOGY
  • Language: English
  • Genre or Collection: Computing
  • ISBN: 9780123970336
  • Rating: 7.18 of 10
  • Votes: 111
  • Review by: Chance Leone
  • Review rating: 7.12 of 10
  • Review Date: 2018/11/27
  • Total pages: 376
  • Includes a PDF summary of 43 pages
  • Description or summary of the book: The Data Quality Assessment Framework shows you how to measure and monitor data quality, ensuring quality over time. You'll start with general concepts of measurement and work your way through a detailed framework of more than three dozen measurement types related to five objective dimensions of quality: completeness, timeliness, consistency, validity, and integrity. Ongoing measurement, rather than one time activities will help your organization reach a new level of data quality. This plain-language approach to measuring data can be understood by both business and IT and provides practical guidance on how to apply the DQAF within any organization enabling you to prioritize measurements and effectively report on results. Strategies for using data measurement to govern and improve the quality of data and guidelines for applying the framework within a data asset are included. You'll come away able to prioritize which measurement types to implement, knowing where to place them in a data flow and how frequently to measure. Common conceptual models for defining and storing of data quality results for purposes of trend analysis are also included as well as generic business requirements for ongoing measuring and monitoring including calculations and comparisons that make the measurements meaningful and help understand trends and detect anomalies.
  • Estimated reading time (average reader): 17H1M28S
  • Other categories, genre or collection: Data Analysis: General, Computing, Operational Research, Databases, Computer Science
  • Available formats: RTF, EPUB, WORD, PDF, DOC, HTMLZ, AZW, TXT. Compressed in ZIP, AZW4, BZ2, AZW, Z, RAR
  • Download servers: Nullupload.com, LaciCloud, BitShare, Hotfile, Your Bittorrent, Mediafire, Uploaded, Microsoft OneDrive, FileServe
  • Format: Paperback
  • Approximate value: 55.88 USD
  • Dimensions: 191x235x22.86mm
  • Weight: 750g
  • Printed by: Morgan Kaufmann Publishers In
  • Published in: San Francisco, United States
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