From the course: CompTIA Data+ (DA0-001) Cert Prep: 5 Data Governance, Quality, and Controls
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Protecting data quality
From the course: CompTIA Data+ (DA0-001) Cert Prep: 5 Data Governance, Quality, and Controls
Protecting data quality
- [Instructor] Master data management programs are also charged with maintaining the quality of the data in those single source of truth data stores. After all, if a master data store contains inaccurate information, that inaccurate information will then propagate to affect business processes all across the organization. We track data quality by evaluating it on six different dimensions. These include accuracy, completeness, consistency, timeliness, validity, and uniqueness. And let's dive into each one of those. Data accuracy is what we'd often call the correctness of the data. In our master data stores, we want to make sure that our data accurately reflects the reality of the situation. For example, if we have customer telephone numbers in our database, the data is accurate if those numbers actually are the telephone numbers of our customers. Data completeness means that we have all of the relevant data for a field…
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