Data Quality: Common Problems & Checks

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

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