Supercomputing and Computation


Automated Data Quality Assurance Tracking

Problem Statement:

  • Identifying, reporting, and tracking database quality assurance issues is a major concern faced by owners of most data systems.

Technical Approach:

  • Identify and store individual QA issues in a database
  • Track QA issues until resolved
  • Categorize and report on QA issue categories
  • Individual error exclusion for special circumstances


  • Automatic, daily monitoring of database quality issues
  • Query interface for ad-hoc reporting

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