Journey to Data Quality

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Title: Journey to Data Quality
Description: A guide for assessing an organization's data quality practice and a roadmap for implementing a viable data and information quality management program, based on rigorous research and drawing on real-world examples.All organizations today confront data quality problems, both systemic and structural. Neither ad hoc approaches nor fixes at the systems leve—installing the latest software or developing an expensive data warehouse—solve the basic problem of bad data quality practices. Journey to Data Quality offers a roadmap that can be used by practitioners, executives, and students for planning and implementing a viable data and information quality management program. This practical guide, based on rigorous research and informed by real-world examples, describes the challenges of data management and provides the principles, strategies, tools, and techniques necessary to meet them. The authors, all leaders in the data quality field for many years, discuss how to make the economic case for data quality and the importance of getting an organization's leaders on board. They outline different approaches for assessing data, both subjectively (by users) and objectively (using sampling and other techniques). They describe real problems and solutions, including efforts to find the root causes of data quality problems at a healthcare organization and data quality initiatives taken by a large teaching hospital. They address setting company policy on data quality and, finally, they consider future challenges on the journey to data quality.
Authors: Leo L. Pipino, Richard Y. Wang, James D. Funk, Yang W. Lee
Resource Type: eBook.
Subjects: Database management--Quality control, Business--Data processing--Management
Categories: COMPUTERS / Information Technology, COMPUTERS / Data Science / Data Modeling & Design
Database: eBook Collection (EBSCOhost)
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  Availability: 0
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DbLabel: eBook Collection (EBSCOhost)
An: 170045
RelevancyScore: 1005
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1004.98577880859
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  Data: Journey to Data Quality
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  Data: A guide for assessing an organization's data quality practice and a roadmap for implementing a viable data and information quality management program, based on rigorous research and drawing on real-world examples.All organizations today confront data quality problems, both systemic and structural. Neither ad hoc approaches nor fixes at the systems leve—installing the latest software or developing an expensive data warehouse—solve the basic problem of bad data quality practices. Journey to Data Quality offers a roadmap that can be used by practitioners, executives, and students for planning and implementing a viable data and information quality management program. This practical guide, based on rigorous research and informed by real-world examples, describes the challenges of data management and provides the principles, strategies, tools, and techniques necessary to meet them. The authors, all leaders in the data quality field for many years, discuss how to make the economic case for data quality and the importance of getting an organization's leaders on board. They outline different approaches for assessing data, both subjectively (by users) and objectively (using sampling and other techniques). They describe real problems and solutions, including efforts to find the root causes of data quality problems at a healthcare organization and data quality initiatives taken by a large teaching hospital. They address setting company policy on data quality and, finally, they consider future challenges on the journey to data quality.
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  Data: <searchLink fieldCode="AR" term="%22Leo+L%2E+Pipino%22">Leo L. Pipino</searchLink><br /><searchLink fieldCode="AR" term="%22Richard+Y%2E+Wang%22">Richard Y. Wang</searchLink><br /><searchLink fieldCode="AR" term="%22James+D%2E+Funk%22">James D. Funk</searchLink><br /><searchLink fieldCode="AR" term="%22Yang+W%2E+Lee%22">Yang W. Lee</searchLink>
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 658.4038
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Database management--Quality control
        Type: general
      – SubjectFull: Business--Data processing--Management
        Type: general
    Titles:
      – TitleFull: Journey to Data Quality
        Type: main
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    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Leo L. Pipino
      – PersonEntity:
          Name:
            NameFull: Richard Y. Wang
      – PersonEntity:
          Name:
            NameFull: James D. Funk
      – PersonEntity:
          Name:
            NameFull: Yang W. Lee
      – PersonEntity:
          Name:
            NameFull: Leo L. Pipino
      – PersonEntity:
          Name:
            NameFull: Richard Y. Wang
      – PersonEntity:
          Name:
            NameFull: James D. Funk
      – PersonEntity:
          Name:
            NameFull: Yang W. Lee
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2006
            – D: 04
              M: 02
              Type: profile
              Y: 2014
          Identifiers:
            – Type: isbn-print
              Value: 9780262122870
            – Type: isbn-print
              Value: 9780262513357
            – Type: isbn-electronic
              Value: 9780262256544
          Titles:
            – TitleFull: Journey to Data Quality
              Type: main
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