Learning Outcomes

Upon successful completion of this course, the student will be able to:

• Define the business value and goals of Data Quality (DQ) improvement.
• Measure the DQ of data sets with data profiling to establish baselines for improvement.
• Use simple statistical measures for analyzing DQ at columnar, record and table levels.
• Assess business process capabilities through the DQ of their data sets.
• Discuss DQ root causes and prioritize mitigation for discovered DQ issues.
• Document data flows using simple process diagrams and SIPOCs (Suppliers, Inputs,Process, Outputs, and Customers).
• Integrate data quality improvement initiatives into development projects such as data warehouses, data migration and upgrades.
• Outline how to connect data stewardship to long term data governance.

Effective as of Fall 2015