Data Quality Management - Revision history

Cfuerber at 20:46, 10 October 2011

2011-10-10T20:46:56Z

← Older revision		Revision as of 20:46, 10 October 2011
Line 1:		Line 1:
−	~~Since "Data quality is the degree to which requirements are fulfilled." (see the page [[Data Quality]]), we need to first~~ '''~~define''' the requirements that represent the answer to the question~~ "~~What~~ is ~~high quality data?". After the specification of data requirements, metrics can be developed and used to '''measure~~''' ~~data quality of a data source.~~	+	'''<span style="color:red">This site is currently under construction!</span>'''

Cfuerber at 18:19, 10 October 2011

2011-10-10T18:19:13Z

← Older revision		Revision as of 18:19, 10 October 2011
Line 1:		Line 1:
−	Since "Data quality is the degree to which requirements are fulfilled." (see [[Data Quality]], we need to first '''define''' the requirements that represent the answer to the question "What is high quality data?". After the specification of data requirements, metrics can be developed and used to '''measure''' data quality of a data source.	+	Since "Data quality is the degree to which requirements are fulfilled." (see the page [[Data Quality]]), we need to first '''define''' the requirements that represent the answer to the question "What is high quality data?". After the specification of data requirements, metrics can be developed and used to '''measure''' data quality of a data source.

Cfuerber: Created page with "Since "Data quality is the degree to which requirements are fulfilled." (see Data Quality, we need to first '''define''' the requirements that represent the answer to the que..."

2011-10-10T18:18:51Z

Created page with "Since "Data quality is the degree to which requirements are fulfilled." (see Data Quality, we need to first '''define''' the requirements that represent the answer to the que..."

New page

Since "Data quality is the degree to which requirements are fulfilled." (see [[Data Quality]], we need to first '''define''' the requirements that represent the answer to the question "What is high quality data?". After the specification of data requirements, metrics can be developed and used to '''measure''' data quality of a data source.