Presentation Summary
The University of Washington’s Data Integration team developed a set of tools and techniques for dealing with low quality (bad) data. This session will cover: how the UW differentiates Data Quality (DQ) and Quality Assurance (QA) issues, how the UW manages low quality sources, how the UW deals with Workday data when users create silent errors in Workday, how we engaged our campus and source data partners to improve the quality of data, and where we are going next. This presentation will include mistakes, opportunities, and eureka moments we learned along the way.Presentation Speaker(s)
John Mobley, University of Washington
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