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Data Quality
Published on Oct 05, 20074551 Views
In industry the term „Quality“ used in the context of “Quality Control or Assurance” of products - and later services - has a history of about one hundred years. It is used in an ISO norm as “Suitabi
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Chapter list
Data Quality00:00
All You Should Know about Data Quality08:23
You Should Know the Cost of \"Poor Data Quality\"10:07
Data Quality - Example11:25
Poor Data Quality13:51
Contents15:03
1 Definition of Quality15:45
2 A Short History of QC17:45
3 Data Sources18:39
3 Kinds of Data Quality21:35
3 Data Errors as Trouble Makers24:08
3.1 Data Error Classification pt 124:50
3.1 Data Error Classification pt 226:05
3.1 Data Error Classification pt 326:38
3.1 Data Error Classification pt 428:20
3.1 Data Error Classification pt 528:38
3.2 Data Quality: Focus and Dimensions pt 130:02
3.2 Data Quality: Focus and Dimensions pt 232:12
3.2 Data Quality: Focus and Dimensions pt 334:26
3.3 Single Dimension36:02
3.3.1 Accuracy36:53
3.3.1 Syntactic Accuracy39:22
3.3.1 Semantic Accuracy41:02
3.3.1 Accuracy Measures pt 141:43
3.3.1 Accuracy Measures pt 241:46
3.3.2 Completeness pt 143:40
3.3.2 Completeness pt 248:57
3.3.2 Completeness pt 349:27
3.3.3 Time-Related Dimensions pt 150:09
3.3.3 Time-Related Dimensions pt 251:30
3.3.3 Time-Related Dimensions pt 352:48
3.3.3 Time-Related Dimensions pt 453:17
3.3.3 Time-Related Dimensions pt 553:39
3.3.4 Consistency pt 153:40
3.3.4 Consistency pt 258:09
3.3.4 Consistency pt 358:28
3.3.4 Consistency pt 401:00:57
Incorrect Dicing (Marginalisation)01:04:25
3.3.4 Consistency pt 501:11:13
Quality Remains01:11:56
4. References01:12:06