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This lesson describes the motivations and mechanics of creating a data quality scorecard.
The classification of the different areas of impact of poor data quality resulted in four different impact areas. Within each impact area several different parameters of impact can then be determined to generate what is called a data quality scorecard which contains complex data metrics. These can then be analyzed using three different view points.
