Storyboard: Tackle Data Quality Issues

Author(s): Shari Lava, Ben Dickie

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While the business must be accountable for data ownership, IT needs to be proactive in providing solutions for data quality problems. There are five types of interrelated data quality issues:

  • Data duplication
  • Stale data
  • Incomplete data
  • Invalid data
  • Data conflicts

Each problem requires a combination of corrective and preventative measures by the business and IT. Use this research to help clean-up enterprise data and keep it clean going forward.

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