| Description |
1 online resource |
| Series |
The Morgan Kaufmann Series on Business Intelligence |
|
Morgan Kaufmann Series on Business Intelligence
|
| 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 |
| 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 |
| Bibliography |
Includes bibliographical references and index |
| Notes |
English |
|
Print version record |
| Subject |
Data structures (Computer science)
|
|
Databases -- Quality control
|
|
Database management.
|
|
REFERENCE -- Research.
|
|
Data structures (Computer science)
|
|
Database management
|
|
Databases -- Quality control
|
| Form |
Electronic book
|
| LC no. |
2012039039 |
| ISBN |
9780123977540 |
|
0123977541 |
|
