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Data Quality Concepts, Methodologies and Techniques

Poor data quality can seriously hinder or damage the efficiency and effectiveness of organizations and businesses. The growing awareness of such repercussions has led to major public initiatives like the "Data Quality Act" in the USA and the "European 2003/98" directive of the Eu...

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Bibliographic Details
Main Authors: Batini, Carlo, Scannapieco, Monica (Author)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2006, 2006
Edition:1st ed. 2006
Series:Data-Centric Systems and Applications
Subjects:
Information Storage And Retrieval
Data Structures And Information Theory
Database Management
Application Software
Information Storage And Retrieval Systems
It In Business
Information Theory
Data Structures (computer Science)
Computer And Information Systems Applications
Business Information Services
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • to Data Quality
  • Data Quality Dimensions
  • Models for Data Quality
  • Activities and Techniques for Data Quality: Generalities
  • Object Identification
  • Data Quality Issues in Data Integration Systems
  • Methodologies for Data Quality Measurement and Improvement
  • Tools for Data Quality
  • Open Problems.

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