An ETIS presentation from Zagreb in April 2009
Data Quality problems are a SOURCE SYSTEM issue and an ETL issue
- They just manifest themselves in the data warehouse
Prevention is better than cure
- Fixing the source system or the ETL is ALWAYS cheaper and more effective than cleaning the data in the ETL or in the Data Warehouse itself
Data Quality is a continuous process
- It is never finished and always needs to be monitored
This paper looks at how to address these some of issues
Download Data Quality: Common Problems & Checks now
