Description
• Creating quality control models to ensure data is properly sourced, contains required elements for assigned function and is monitored for consistency of results
• Strengthening data quality with centralized data stewardship to standardize governance, curtail duplicative data harnessing and coordinate training policies
• Conducting quality assurance testing to analyze data integrity and take corrective actions such as increased automation of data processing as needed while safeguarding data
Moderator(s):
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