Assess Data Quality and Risk

Data quality work becomes useful when concern becomes measurable. In this course, Assess Data Quality and Risk, you will gain the ability to assess current data quality, quantify issues, and explain which problems deserve attention first. First, you will explore how profiling reveals missing, invalid, duplicate, inconsistent, anomalous, and incorrectly related data. Next, you will discover how quality measures, pass rates, and documented findings help quantify current quality. Finally, you will learn how likelihood, severity, reach, business criticality, consumer impact, and remediation effort guide risk prioritization. When you are finished with this course, you will have the skills and knowledge of data quality assessment needed to quantify current issues and focus improvement where it matters.
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