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) |
| FullText | Links: – Type: ebook-pdf Text: Availability: 0 |
|---|---|
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| Items | – Name: Title Label: Title Group: Ti Data: Journey to Data Quality – Name: Abstract Label: Description Group: Ab 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. – Name: Author Label: Authors Group: Au 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> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Database+management--Quality+control%22">Database management--Quality control</searchLink><br /><searchLink fieldCode="DE" term="%22Business--Data+processing--Management%22">Business--Data processing--Management</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Information+Technology%22">COMPUTERS / Information Technology</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Data+Science+%2F+Data+Modeling+%26+Design%22">COMPUTERS / Data Science / Data Modeling & Design</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 BibRelationships: 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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