| Description |
1 online resource |
|
text file |
| Summary |
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. |
| Contents |
Concepts and definitions -- DQAF concepts and measurement types -- Data assessment scenarios -- Applying the DQAF to data requirements -- A strategic approach to data quality -- The DQAF in dept. |
| Bibliography |
Includes bibliographical references and index. |
| Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
| Subject |
Data structures (Computer science)
|
|
Data structures (Computer science) |
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Databases -- Quality control.
|
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Databases -- Quality control. |
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Databases. |
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Database management.
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Database management. |
| Genre/Form |
Electronic books.
|
| Other Form: |
Print version: Sebastian-Coleman, Laura. Measuring Data Quality for Ongoing Improvement : A Data Quality Assessment Framework. Burlington : Elsevier Science, ©2013 9780123970336 |
| ISBN |
9780123977540 (electronic book) |
|
0123977541 (electronic book) |
|
9781283933186 |
|
1283933187 |
|
9780123970336 |
|
0123970334 |
|
