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23 Tips for Creating Effective Data Quality Scorecards

23 Tips for Creating Effective Data Quality Scorecards

Data Quality Scorecards are one of the most vital resources for guiding your team and motivating your project sponsors towards the goal of data quality management.

But how do you go about creating a data quality scorecard? What are some of the key points to consider? Here are 23 pointers to help you in the right direction.

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Data Quality Monitoring - Faster or Better: The Ultimate Choice by Arkady Maydanchik

This is a guest post by regular contributor Arkady Maydanchik from the eLearningCurve.

In this article Arkady writes on the importance of monitoring data quality along the information chain and in particular the many data integration junction points in an effort to ensure quality for our ever increasing demand for data.

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Data Quality Rules: General Attribute Dependencies by Arkady Maydanchik

Data Quality Rules: General Attribute Dependencies by Arkady Maydanchik

In this guest post, regular expert panelist and featured contributor Arkady Maydanchik provides yet another detailed extract from his excellent book: "Data Quality Assessment".

The 6th in a series, this post defines the various attribute dependency data quality rules and provides a strategy for discovering them.

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